This document summarizes a research paper on implementing a spatial modulation receiver in VLSI. Spatial modulation is a modulation technique for MIMO systems that encodes information in both the transmitted symbol and antenna used. The author presents the system model of a spatial modulation system with multiple transmit and receive antennas. Bit streams are divided to select an antenna and symbol. The receiver task is to estimate the symbol and detect the transmitting antenna. The author discusses designing and implementing a low complexity spatial modulation receiver for MIMO systems in VLSI that achieves high performance.
Computationally Efficient Multi-Antenna Techniques for Multi-User Two-Way Wire...IJECEIAES
In this work, we are interested in implementing, developing and evaluating multi-antenna techniques used for multi-user two-way wireless relay networks that provide a good tradeoff between the computational complexity and performance in terms of symbol error rate and achievable data rate. In particular, a variety of newly multi-antenna techniques is proposed and studied. Some techniques based on orthogonal projection enjoy low computational complexity. However, the performance penalty associated with them is high. Other techniques based on maximum likelihood strategy enjoy high performance, however, they suffer from very high computational complexity. The Other techniques based on randomization strategy provide a good trade-off between the computational complexity and performance where they enjoy low computational complexity with almost the same performance as compared to the techniques based on maximum likelihood strategy.
PERFORMANCE ANALYSIS OF CLIPPED STBC CODED MIMO OFDM SYSTEMIAEME Publication
A combination of Multiple-Input Multiple-Output Spatial Division Multiplexing technology and Orthogonal Frequency Division Multiplexing technique, namely MIMO-OFDM systems, been well-known as a potential technology to provide high speed data transmission and spectrum efficiency to attain throughput of 1 Gbit/sec and beyond improves link reliability for modern wireless communications. The rising development of Internet related contents and demand of multimedia services leads to increasing curiosity to high speed communications. It has been shown that by using MIMO system, it is possible to increase that capacity considerably.
Computationally Efficient Multi-Antenna Techniques for Multi-User Two-Way Wire...IJECEIAES
In this work, we are interested in implementing, developing and evaluating multi-antenna techniques used for multi-user two-way wireless relay networks that provide a good tradeoff between the computational complexity and performance in terms of symbol error rate and achievable data rate. In particular, a variety of newly multi-antenna techniques is proposed and studied. Some techniques based on orthogonal projection enjoy low computational complexity. However, the performance penalty associated with them is high. Other techniques based on maximum likelihood strategy enjoy high performance, however, they suffer from very high computational complexity. The Other techniques based on randomization strategy provide a good trade-off between the computational complexity and performance where they enjoy low computational complexity with almost the same performance as compared to the techniques based on maximum likelihood strategy.
PERFORMANCE ANALYSIS OF CLIPPED STBC CODED MIMO OFDM SYSTEMIAEME Publication
A combination of Multiple-Input Multiple-Output Spatial Division Multiplexing technology and Orthogonal Frequency Division Multiplexing technique, namely MIMO-OFDM systems, been well-known as a potential technology to provide high speed data transmission and spectrum efficiency to attain throughput of 1 Gbit/sec and beyond improves link reliability for modern wireless communications. The rising development of Internet related contents and demand of multimedia services leads to increasing curiosity to high speed communications. It has been shown that by using MIMO system, it is possible to increase that capacity considerably.
Bit Error Rate Performance of MIMO Spatial Multiplexing with MPSK Modulation ...ijsrd.com
Wireless communication is one of the most effective areas of technology development of our time. Wireless communications today covers a very wide array of applications. In this, we study the performance of general MIMO system, the general V-BLAST architecture with MPSK Modulation in Rayleigh fading channels. Based on bit error rate, we show the performance of the 2x2 schemes with MPSK Modulation in noisy environment. We also show the bit error rate performance of 2x2, 3x3, 4x4 systems with BPSK modulation. We see that the bit error rate performance of 2x2 systems with QPSK modulation gives us the best performance among other schemes analysed here.
Capsulization of Existing Space Time TechniquesIJEEE
In this paper, we explore the fundamental
concepts behind the emerging field of space-time coding for
wireless communication system. A space–time code (STC)
is a method which employed to increase the reliability of
data transmission in the wireless communication
systems using multiple transmit antennas.
Analyses and performance of techniques papr reduction for stbc mimo ofdm syst...ijwmn
An OFDM system is combined with multiple-input mult
iple-output (MIMO) in order to increase the
diversity gain and system capacity over the time va
riant frequency-selective channels. However, a maj
or
drawback of MIMO-OFDM system is that the transmitte
d signals on different antennas might exhibit high
peak-to-average power ratio (PAPR).In this paper, w
e present a PAPR analysis reduction of space-time-
block-coded (STBC) MIMO-OFDM system for 4G wireless
networks. Several techniques have been used to
reduce the PAPR of the (STBC) MIMOOFDM system: clip
ping and filtering, partial transmit sequence
(PTS) and selected mapping (SLM). Simulation result
s show that clipping and filtering provides a bette
r
PAPR reduction than the others methods and only SLM
technique conserve the PAPR reduction in
reception part of signal.
Wireless communication now has been focus to increase data rate and high performance. The
multi carrier on multi-hop communication system using relay's diversity technique which is
supported by a reliable coding is a system that may give high performance.
This research is developing a model of multi carrier CDMA on multi hop communication
system with diversity technique which is using Alamouti codes in Rayleigh fading channel. By
Alamouti research, Space Time Block Code (STBC) for MIMO system can perform high quality
signal at the receiver in the Rayleigh fading channel and the noisy system. In this research,
MIMO by STBC is applied to single antenna system (Distributed-STBC/DSTBC) with multi
carrier CDMA on multi hop wireless communication system (relay diversity) which is able to
reduce the complexity of the system but the system performance even can be maintained and
improved.
MC CDMA on multi hop wireless communication system with 2 hops is performing much better
than Single Input Single Output (SISO) system (1 hop system). Power needed for 1 hop system to
have the same quality as 2 hops system to reach BER 10-3 is 12 dB. And multi hop system needs
orthogonal symbol to send from relay than original symbol to reach better performance. 12.5
dB power up is needed for multi hop system which sent same symbol as transmitter than relay
system which sent orthogonal symbol.
BER Performance of MU-MIMO System using Dirty Paper CodingIJEEE
In this paper Dirty Paper Coding for communication system is implemented. MIMO application that involves devices such as cell phones, pocket PCs require closely spaced antenna, which suffers from mutual coupling among antennas and high spatial correlation for signals. DPC is used for compensating the degradation due to correlation and mutual coupling.
This paper aims, a 3D-Pilot Aided Multi-Input Multi-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) Channel Estimation (CE) for Digital Video Broadcasting -T2 (DVB-T2) for the 5 different proposed block and comb pilot patterns model and performed on different antenna configuration. The effects of multi-transceiver antenna on channel estimation are addressed with different pilot position in frequency, time and the vertical direction of spatial domain framing. This paper first focus on designing of 5-different proposed spatial correlated pilot pattern model with optimization of pilot overhead. Then it demonstrates the performance comparison of Least Square (LS) & Linear Minimum Mean Square Error (LMMSE), two linear channel estimators for 3D-Pilot Aided patterns on different antenna configurations in terms of Bit Error Rate. The simulation results are shown for Rayleigh fading noise channel environments. Also, 3x4 MIMO configuration is recommended as the most suitable configuration in this noise channel environments.
MIMO System Performance Evaluation for High Data Rate Wireless Networks usin...IJMER
Space–time block coding is used for data communication in fading channels by multiple
transmit antennas. Message data is encoded by applying a space–time block code and after the encoding
the data is break into ‘n’ streams of simultaneously transmitted strings through n transmit antennas. The
received signal at the receiver end is the superposition of the n transmitted signals distorted due to noise
.For data recovery maximum likelihood decoding scheme is applied through decoupling of the signals
transmitted from different antennas instead of joint detection. The maximum likelihood decoding scheme
applies the orthogonal structure of the space–time block code (OSTBC) and gives a maximum-likelihood
decoding algorithm based on linear processing at the receiver. In this paper orthogonal space–time
block codes based model is developed using Matlab/Simulink to get the maximum diversity order for a
given number of transmit and receive antennas subject with a simple decoding algorithm.
The simulink block of orthogonal space coding block with space–time block codes is applied with and
without gray coding. The OSTBC codes gives the maximum possible transmission rate for any number of
transmit antennas using any arbitrary real constellation such of M-PSK array. For different complex
constellation of M- PSK space–time block codes are applied that achieve 1/2 and 3/4 of the maximum
possible transmission rate for MIMO transmit antennas using different complex constellations.
At this present scenario, the demand of the system capacity is very high in wireless network. MIMO
technology is used from the last decade to provide this requirement for wireless network antenna
technology. MIMO channels are mostly used for advanced antenna array technology. But it is most
important to control the error rate with enhanced system capacity in MIMO for present-day progressive
wireless communication. This paper explores the frame error rate with respect to different path gain of
MIMO channel. This work has been done in different fading scenario and produces a comparative analysis
of MIMO on the basis of those fading models in various conditions. Here, it is to be considered that
modulation technique as QPSK to observe these comparative evaluations for different Doppler frequencies.
From the comparative analysis, minimum amount of frame error rate is viewed for Rician distribution at
LOS path Doppler shift of 0 Hz. At last, this work is concluded with a comparative bit error rate study on
the basis of singular parameters at different SNR levels to produce the system performance for uncoded
QPSK modulation.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Design of area and power efficient half adder using transmission gateeSAT Journals
Abstract This paper gives an idea to reduce power and surface area of half adder circuit using very popular technique i.e. transmission gate. An adder is a digital circuit that performs addition of two numbers. In many computers and other kind of processors, adders are used not only in arithmetic logic unit but also in other parts of the processors where they are used to calculate addresses, table indices and similar operations .in this paper two bit addition has been done using conventional and transmission gate level and power, area and number of transistors are the scope of comparison. According to the simulation result, power and area are reduced by 55.35 % and 40.269% respectively when the circuit is implemented by transmission gate .thus transmission gate has become a very popular and useful technique to implement digital circuits which help to reduce power, surface area as well as number of transistors. Keywords: Transmission gate (TG), Half adder, CMOS logic gates, Surface area, Power.
A Novel Alamouti STBC Technique for MIMO System Using 16- QAM Modulation and ...IJERA Editor
The wireless communication is the emerging field of research among communication researchers and they are
continuously working towards the reduction if error occurred in the signal during transmission through wireless
media. In this paper the wireless system is simulated with the application of Alamouti space time block codes
(STBC) with MIMO and MISO configurations to compare the results. The modulation technique used here is
16-QAM which is giving better results than other counterparts and to enhance the performance of the system i.e.
to reduce the effect of errors on data we have applied a moving average filter(MAF). The performance of the
system is shown with the simulation results with variable data sizes and found that the proposed approach is
better for the system.
MIMO Channel Estimation Using the LS and MMSE AlgorithmIOSRJECE
Wireless Communication Technology has developed over the past few yearsfor other objectives.The Multiple InputMultiple Output (MIMO) is one of techniques that is used to enhancethe data rates, in which multiple antennas are employed both the transmitter and receiver. Multiple signals are transmitted from different antennas at the transmitter using the same frequency and separated space. Various channel estimation techniques are employed in order to judge the physical effects of the medium present. In this paper, we analyze and implementvarious estimation techniques for MIMO Systems such as Least Squares (LS), Minimum Mean Square Error (MMSE),these techniques are therefore compared to effectively estimate the channel in MIMO System. The results demonstrate that SNR required to support different values of bit error rate varies depending on different low correlation between the transmitting and the receiving antennas .In addition, it is illustrated that when the number of transmitter and receiver antennas increases, the performance of TBCE schemes significantly improves. The Same behavior isalso observed for MIMO system. Performance of both MMSE and LSestimation are the same for allkinds of modulation at small value of SNR but the more we increase the SNR value the more performance gap goes on increasing.
Grayscale Image Transmission over Rayleigh Fading Channel in a MIMO System Us...IJERA Editor
The consistent demand for higher data rates and ability to send large volumes of data without compromising the quality of communication has led the development of a new generations of wireless systems. But range and data rate limitations are there in wireless devices. In an effort to overcome these limitations, Multi Input Multi Output (MIMO) systems can be used which also increase diversity and improve the bit error rate (BER) performance of wireless systems. They also increase the channel capacity, increase the transmitted data rate through spatial multiplexing, and/or reduce interference from other users. MIMO systems thus make a promising communication systems because of their high transmission rates without additional bandwidth or transmit power and robustness against multipath fading. This paper focuses on transmission of an image file using 2x2 MIMO system that achieves a full diversity gain using Alamouti’s Space Time Block Coding technique for 2 transmitting antennas and 2 receiving antennas. Different modulation techniques viz. BPSK, QPSK, 16-QAM and 64-QAM are used and performances has been evaluated in terms of BER vs. SNR to find out the best modulation technique in a given environment. Space-Time Codes have been used which in addition to the time and spectral domain, also exploit the spatial domain. Simple maximum likelihood decoding algorithm is used at the receiver side to decode the received encoded signal.
In this paper, Space Time Block Code (STBC), Spatial Multiplexing (SM) and hybrid model with OFDM
are designed for Rayleigh fading channel. Combination of SM and STBC forms hybrid MIMO model. The
performances of the above mentioned models with different modulations such as Quadrature Phase Shift
Keying (QPSK) and Quadrature Amplitude Modulation (QAM) with multiple antennas are measured with
respect to BER. In this paper, it is shown that Hybrid MIMO provides low BER. Thus, in wireless
communication, hybrid model improves the data rate and link reliability.
Bit Error Rate Performance of MIMO Spatial Multiplexing with MPSK Modulation ...ijsrd.com
Wireless communication is one of the most effective areas of technology development of our time. Wireless communications today covers a very wide array of applications. In this, we study the performance of general MIMO system, the general V-BLAST architecture with MPSK Modulation in Rayleigh fading channels. Based on bit error rate, we show the performance of the 2x2 schemes with MPSK Modulation in noisy environment. We also show the bit error rate performance of 2x2, 3x3, 4x4 systems with BPSK modulation. We see that the bit error rate performance of 2x2 systems with QPSK modulation gives us the best performance among other schemes analysed here.
Capsulization of Existing Space Time TechniquesIJEEE
In this paper, we explore the fundamental
concepts behind the emerging field of space-time coding for
wireless communication system. A space–time code (STC)
is a method which employed to increase the reliability of
data transmission in the wireless communication
systems using multiple transmit antennas.
Analyses and performance of techniques papr reduction for stbc mimo ofdm syst...ijwmn
An OFDM system is combined with multiple-input mult
iple-output (MIMO) in order to increase the
diversity gain and system capacity over the time va
riant frequency-selective channels. However, a maj
or
drawback of MIMO-OFDM system is that the transmitte
d signals on different antennas might exhibit high
peak-to-average power ratio (PAPR).In this paper, w
e present a PAPR analysis reduction of space-time-
block-coded (STBC) MIMO-OFDM system for 4G wireless
networks. Several techniques have been used to
reduce the PAPR of the (STBC) MIMOOFDM system: clip
ping and filtering, partial transmit sequence
(PTS) and selected mapping (SLM). Simulation result
s show that clipping and filtering provides a bette
r
PAPR reduction than the others methods and only SLM
technique conserve the PAPR reduction in
reception part of signal.
Wireless communication now has been focus to increase data rate and high performance. The
multi carrier on multi-hop communication system using relay's diversity technique which is
supported by a reliable coding is a system that may give high performance.
This research is developing a model of multi carrier CDMA on multi hop communication
system with diversity technique which is using Alamouti codes in Rayleigh fading channel. By
Alamouti research, Space Time Block Code (STBC) for MIMO system can perform high quality
signal at the receiver in the Rayleigh fading channel and the noisy system. In this research,
MIMO by STBC is applied to single antenna system (Distributed-STBC/DSTBC) with multi
carrier CDMA on multi hop wireless communication system (relay diversity) which is able to
reduce the complexity of the system but the system performance even can be maintained and
improved.
MC CDMA on multi hop wireless communication system with 2 hops is performing much better
than Single Input Single Output (SISO) system (1 hop system). Power needed for 1 hop system to
have the same quality as 2 hops system to reach BER 10-3 is 12 dB. And multi hop system needs
orthogonal symbol to send from relay than original symbol to reach better performance. 12.5
dB power up is needed for multi hop system which sent same symbol as transmitter than relay
system which sent orthogonal symbol.
BER Performance of MU-MIMO System using Dirty Paper CodingIJEEE
In this paper Dirty Paper Coding for communication system is implemented. MIMO application that involves devices such as cell phones, pocket PCs require closely spaced antenna, which suffers from mutual coupling among antennas and high spatial correlation for signals. DPC is used for compensating the degradation due to correlation and mutual coupling.
This paper aims, a 3D-Pilot Aided Multi-Input Multi-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) Channel Estimation (CE) for Digital Video Broadcasting -T2 (DVB-T2) for the 5 different proposed block and comb pilot patterns model and performed on different antenna configuration. The effects of multi-transceiver antenna on channel estimation are addressed with different pilot position in frequency, time and the vertical direction of spatial domain framing. This paper first focus on designing of 5-different proposed spatial correlated pilot pattern model with optimization of pilot overhead. Then it demonstrates the performance comparison of Least Square (LS) & Linear Minimum Mean Square Error (LMMSE), two linear channel estimators for 3D-Pilot Aided patterns on different antenna configurations in terms of Bit Error Rate. The simulation results are shown for Rayleigh fading noise channel environments. Also, 3x4 MIMO configuration is recommended as the most suitable configuration in this noise channel environments.
MIMO System Performance Evaluation for High Data Rate Wireless Networks usin...IJMER
Space–time block coding is used for data communication in fading channels by multiple
transmit antennas. Message data is encoded by applying a space–time block code and after the encoding
the data is break into ‘n’ streams of simultaneously transmitted strings through n transmit antennas. The
received signal at the receiver end is the superposition of the n transmitted signals distorted due to noise
.For data recovery maximum likelihood decoding scheme is applied through decoupling of the signals
transmitted from different antennas instead of joint detection. The maximum likelihood decoding scheme
applies the orthogonal structure of the space–time block code (OSTBC) and gives a maximum-likelihood
decoding algorithm based on linear processing at the receiver. In this paper orthogonal space–time
block codes based model is developed using Matlab/Simulink to get the maximum diversity order for a
given number of transmit and receive antennas subject with a simple decoding algorithm.
The simulink block of orthogonal space coding block with space–time block codes is applied with and
without gray coding. The OSTBC codes gives the maximum possible transmission rate for any number of
transmit antennas using any arbitrary real constellation such of M-PSK array. For different complex
constellation of M- PSK space–time block codes are applied that achieve 1/2 and 3/4 of the maximum
possible transmission rate for MIMO transmit antennas using different complex constellations.
At this present scenario, the demand of the system capacity is very high in wireless network. MIMO
technology is used from the last decade to provide this requirement for wireless network antenna
technology. MIMO channels are mostly used for advanced antenna array technology. But it is most
important to control the error rate with enhanced system capacity in MIMO for present-day progressive
wireless communication. This paper explores the frame error rate with respect to different path gain of
MIMO channel. This work has been done in different fading scenario and produces a comparative analysis
of MIMO on the basis of those fading models in various conditions. Here, it is to be considered that
modulation technique as QPSK to observe these comparative evaluations for different Doppler frequencies.
From the comparative analysis, minimum amount of frame error rate is viewed for Rician distribution at
LOS path Doppler shift of 0 Hz. At last, this work is concluded with a comparative bit error rate study on
the basis of singular parameters at different SNR levels to produce the system performance for uncoded
QPSK modulation.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Design of area and power efficient half adder using transmission gateeSAT Journals
Abstract This paper gives an idea to reduce power and surface area of half adder circuit using very popular technique i.e. transmission gate. An adder is a digital circuit that performs addition of two numbers. In many computers and other kind of processors, adders are used not only in arithmetic logic unit but also in other parts of the processors where they are used to calculate addresses, table indices and similar operations .in this paper two bit addition has been done using conventional and transmission gate level and power, area and number of transistors are the scope of comparison. According to the simulation result, power and area are reduced by 55.35 % and 40.269% respectively when the circuit is implemented by transmission gate .thus transmission gate has become a very popular and useful technique to implement digital circuits which help to reduce power, surface area as well as number of transistors. Keywords: Transmission gate (TG), Half adder, CMOS logic gates, Surface area, Power.
A Novel Alamouti STBC Technique for MIMO System Using 16- QAM Modulation and ...IJERA Editor
The wireless communication is the emerging field of research among communication researchers and they are
continuously working towards the reduction if error occurred in the signal during transmission through wireless
media. In this paper the wireless system is simulated with the application of Alamouti space time block codes
(STBC) with MIMO and MISO configurations to compare the results. The modulation technique used here is
16-QAM which is giving better results than other counterparts and to enhance the performance of the system i.e.
to reduce the effect of errors on data we have applied a moving average filter(MAF). The performance of the
system is shown with the simulation results with variable data sizes and found that the proposed approach is
better for the system.
MIMO Channel Estimation Using the LS and MMSE AlgorithmIOSRJECE
Wireless Communication Technology has developed over the past few yearsfor other objectives.The Multiple InputMultiple Output (MIMO) is one of techniques that is used to enhancethe data rates, in which multiple antennas are employed both the transmitter and receiver. Multiple signals are transmitted from different antennas at the transmitter using the same frequency and separated space. Various channel estimation techniques are employed in order to judge the physical effects of the medium present. In this paper, we analyze and implementvarious estimation techniques for MIMO Systems such as Least Squares (LS), Minimum Mean Square Error (MMSE),these techniques are therefore compared to effectively estimate the channel in MIMO System. The results demonstrate that SNR required to support different values of bit error rate varies depending on different low correlation between the transmitting and the receiving antennas .In addition, it is illustrated that when the number of transmitter and receiver antennas increases, the performance of TBCE schemes significantly improves. The Same behavior isalso observed for MIMO system. Performance of both MMSE and LSestimation are the same for allkinds of modulation at small value of SNR but the more we increase the SNR value the more performance gap goes on increasing.
Grayscale Image Transmission over Rayleigh Fading Channel in a MIMO System Us...IJERA Editor
The consistent demand for higher data rates and ability to send large volumes of data without compromising the quality of communication has led the development of a new generations of wireless systems. But range and data rate limitations are there in wireless devices. In an effort to overcome these limitations, Multi Input Multi Output (MIMO) systems can be used which also increase diversity and improve the bit error rate (BER) performance of wireless systems. They also increase the channel capacity, increase the transmitted data rate through spatial multiplexing, and/or reduce interference from other users. MIMO systems thus make a promising communication systems because of their high transmission rates without additional bandwidth or transmit power and robustness against multipath fading. This paper focuses on transmission of an image file using 2x2 MIMO system that achieves a full diversity gain using Alamouti’s Space Time Block Coding technique for 2 transmitting antennas and 2 receiving antennas. Different modulation techniques viz. BPSK, QPSK, 16-QAM and 64-QAM are used and performances has been evaluated in terms of BER vs. SNR to find out the best modulation technique in a given environment. Space-Time Codes have been used which in addition to the time and spectral domain, also exploit the spatial domain. Simple maximum likelihood decoding algorithm is used at the receiver side to decode the received encoded signal.
In this paper, Space Time Block Code (STBC), Spatial Multiplexing (SM) and hybrid model with OFDM
are designed for Rayleigh fading channel. Combination of SM and STBC forms hybrid MIMO model. The
performances of the above mentioned models with different modulations such as Quadrature Phase Shift
Keying (QPSK) and Quadrature Amplitude Modulation (QAM) with multiple antennas are measured with
respect to BER. In this paper, it is shown that Hybrid MIMO provides low BER. Thus, in wireless
communication, hybrid model improves the data rate and link reliability.
Performance Analysis and Optimal Detection of Spatial Modulationrahulmonikasharma
In this paper, we propose the optimal detector for spatial modulation. The new detector performs significant better than the original (~4 dB gain), and we derive the closed form expression for the average bit error probability. The optimal detector of SM shows performance gain (~1.5 ?3 dB) over popular multiple antenna system, making it an excellent prospect for future wireless communication.
MC CDMA PERFORMANCE ON SINGLE RELAY COOPERATIVE SYSTEM BY DIVERSITY TECHNIQUE...cscpconf
Wireless communication now has been focus to increase data rate and high performance. The multi carrier on multi-hop communication system using relay's diversity technique which is
supported by a reliable coding is a system that may give high performance. This research is developing a model of multi carrier CDMA on multi hop communication system with diversity technique which is using Alamouti codes in Rayleigh fading channel. By Alamouti research, Space Time Block Code (STBC) for MIMO system can perform high quality signal at the receiver in the Rayleigh fading channel and the noisy system. In this research, MIMO by STBC is applied to single antenna system (Distributed-STBC/DSTBC) with multi carrier CDMA on multi hop wireless communication system (relay diversity) which is able to reduce the complexity of the system but the system performance even can be maintained andimproved.
MC CDMA on multi hop wireless communication system with 2 hops is performing much better than Single Input Single Output (SISO) system (1 hop system). Power needed for 1 hop system to have the same quality as 2 hops system to reach BER 10-3 is 12 dB. And multi hop system needs orthogonal symbol to send from relay than original symbol to reach better performance. 12.5 dB power up is needed for multi hop system which sent same symbol as transmitter than relay system which sent orthogonal symbol.
A New Transmission Scheme for MIMO – OFDMijsrd.com
This contribution introduces a new transmission scheme for multiple-input multiple-output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) systems. The new scheme is efficient and suitable especially for symmetric channels such as the link between two base stations or between two antennas on radio beam transmission. This survey Paper presents the performance analysis of V-BLAST based multiple inputs multiple output orthogonal frequency division multiplexing (MIMO-OFDM) system with respect to bit error rate per signal to noise ratio (BER/SNR) for various detection techniques. A 2X2 MIMO-OFDM system is used for the performance evaluation. The simulation results shows that the performance of V-BLAST based detection techniques is much better than the conventional methods. Alamouti Space Time Block Code (STBC) scheme is used with orthogonal designs over multiple antennas which showed simulated results are identical to expected theoretical results. With this technique both Bit Error Rate (BER) and maximum diversity gain are achieved by increasing number of antennas on either side. This scheme is efficient in all the applications where system capacity is limited by multipath fading.
Performance Analysis of OSTBC MIMO Using Precoder with ZF & MMSE EqualizerIJERA Editor
In this paper, a bit error rate analysis is presented for multiple-input–multiple-output (MIMO) system with finite-bit feedback is considered in PSK modulation technique, where a transmit signal consists of a rotational precoder followed by an orthogonal space–time block code (OSTBC) which achieve full diversity when a linear receiver, such as, zeroforcing (ZF) or minimum mean square (MMSE), is used. By choosing different parameters, codes with different symbol rates and orthogonally can be obtained .In this paper, we compare the performance of a family of space-time codes. Simulations show how the precoders obtained by our proposed criterion and method perform better bit error rate reduction compared to the existing ones.
Index modulation is one of the promising techniques for future communications systems due to many improvement over the classical orthogonal frequency division multiplexing systems such as single RF chain, increased throughput for the same modulation order, achieved tradeoff between the efficiencies of the power and the spectral, and elimination of inter-channel interference. Many forms of index modulation researches exist where symbols are conveyed in antennas, subcarriers, time slots, and the space-time matrix. Spatial modulation is one member of index modulation family where symbols are conveyed in activating transmit/receive antennas. In this paper, a modification to a standard multiple input single output scheme by integrating spatial modulation using simplified mathematical procedure is achieved. In the transmitter side, data and activation symbols are distributed simultaneously using mathematical module and floor functions. At the receiver, a simplified maximum likelihood detector is used to obtain transmitted pair of symbols. To verify this, MATLAB simulink is used to simulate a downlink system where spatial modulation is applied to a base station. Results for different transmit antenna number and modulation order are obtained in the form of bit error rate versus signal to noise ratio.
Combining SFBC_OFDM Systems with SVD Assisted Multiuser Transmitter and Multi...IOSR Journals
Abstract: In this work, we exploit the SVD assisted multiuser transmitter (MUT) and multiuser detector (MUD) technique, using downlink (DL) preprocessing transmitter and DL postprocessing receiver matrice .In combination with space frequency block coding (SFBC). And also propose the precoded DL transmission scheme, were the both proposed schemes take advantage of the channel state information (CSI) of all users at the base station (BS), but only of the mobile station (MS)’s own CSI, to decompose the MU MIMO channels into parallel single input single output (SISO), these two proposed schemes are compared to the vertical layered space time (V_BLAST) combined with SFBC (SFBC_VBLAST). Our Simulation results show that the performance of the proposed scheme with DL Zero Forcing (ZF) transmitter for interference canceller outperforms the SFBC_VBLAST and the precoded DL schemes with ZF receiver in frequency selective fading channels. Keywords – Post processing, Preprocessing,, SFBC, SVD, ZF.
New Adaptive Cooperative-MIMO for LTE Technologyijtsrd
Multiple Input Multiple Output (MIMO) systems have been widely used in an area of wireless cellular communication system, providing the both increased capacity and reliability. However, the use of multiple antennas in mobile terminals may not be very practical due to limited space and other implementation issues. In this paper, cooperative MIMO has been used in a way to optimise the implementation and working of conventional MIMO systems in terms of BER and Spectral Efficiency while maintaining a minimal number of antennas on each handset. Cooperative MIMO with V-BLAST transmission over Rayleigh flat fading channels and amplify and forward protocol with one relay node for modulation techniques like BPSK, QPSK, QAM using various decoding techniques has been analysed. Decoding algorithms like ZF, MMSE and ML have been analysed with respect to their BER performances. Since, there is throughput loss in cooperative MIMO due to extra resources required for relaying, adaptive modulation has been used with C-MIMO to meet the demands for high data rates in Long Term Evolution Network. Sukhreet Kaur | Dr. Amita Soni"New Adaptive Cooperative-MIMO for LTE Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12919.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/12919/new-adaptive-cooperative-mimo-for-lte-technology/sukhreet-kaur
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
PERFORMANCE ANALYSIS OF QOS PARAMETERS LIKE PSNR, MAE & RMSE USED IN IMAGE TR...Journal For Research
Wireless designers constantly seek to improve the spectrum efficiency/capacity, coverage of wireless networks and link reliability. In this direction, Space-time wireless technology that uses multiple antennas along with appropriate signaling and receiver techniques that offers a powerful tool for improving the wireless performance is used in this thesis work. A special version of STBC called ‘Alamouti code’ is used. PSK modulation scheme is used for modulation of data. In this thesis work, the Space-Time Block Codes (STBC) is used in WLAN wireless network that uses multiple numbers of antennas at both transmitter and receiver. The STBC which includes the Alamouti Scheme for 2 transmit antenna and a different number of receiving antenna has been studied, simulated and analyzed. The simulation has been done in MATLAB. Throughput and several parameter performance has been analyzed using the MATLAB.A sample image is transmitted to compare the performance of various parameters like RMSE, PSNR, MAE etc. All the parameters are plotted against SNR (in dB) values ranging from -18 to 30. Various observations being made for the improvement in various parameters with increasing SNR and/or with changing diversity scheme. AWGN channel is used here for communication of sampled image data.
Multi user performance on mc cdma single relay cooperative system by distribu...IJCNCJournal
Increasing data rate and high performance is the target focus of wireless communication. The multi carrier on multi-hop communication system using relay's diversity technique which is supported by a reliable coding is a system that may give high performance. This research is developing a model of multi user and two scheme of multi carrier CDMA on multi hop communication system with diversity technique which is using Alamouti codes in Rayleigh fading channel. By Alamouti research, Space Time Block Code (STBC) for MIMO system can perform high quality signal at the receiver in the Rayleigh fading channel and the noisy system. In this research, MIMO by STBC is applied to single antenna system (Distributed-STBC/DSTBC) with multi carrier CDMA on multi hop wireless communication system (relay diversity) which is able to improve the received signal performance.
MC DS CDMA on multi hop wireless communication system with 2 hops is better performing than MC CDMA on multi user without Multi User Detector. To reach BER 10-3 multi hop system with MC CDMA needs more power 5 dB than MC DS CDMA at 5 users using Alamouti scheme for symbol transmission at the relay.
Iterative qr decompostion channel estimation for mimo ofdm systems eSAT Journals
Abstract Channel estimation algorithms have a key role in signal detection in MIMO-OFDM systems. In this system, the number of channel components which need to be estimated is much more than conventional SISO wireless systems. Consequently, the computational process of channel estimation is highly intensive. In addition, the high performance channel estimation algorithms mostly suffer from high computational complexity. In the other words, the system undergoes intensive computations if high performance efficiency is desired. However, there is an alternative solution to achieve both high performance efficiency and relatively low level of computational complexity. In this solution, high efficient channel estimation is firstly designed, and then it is simplified using alternative mathematical expressions. In this paper, Iterative channel estimation based on QR decomposition for MIMO-OFDM systems is proposed. From simulation results, the iterative QRD channel estimation algorithm can provide better mean-square-error and bit error rate performance than conventional methods. Index Terms: MIMO, OFDM, QRD,Least squre Channel estimation
3D METALLIC PLATE LENS ANTENNA BASED BEAMSPACE CHANNEL ESTIMATION TECHNIQUE F...ijwmn
Beamspace channel estimation mechanism for massive MIMO (multiple input multiple output) antenna
system presents a major process to compensate the 5G spectrum challenges caused by the proliferation of
information from mobile devices. However, this estimation is required to ensure the perfect channel state
information (CSI) for lower amount of Radio Frequency (RF) chains for each beam. In addition, phase
shifter (PS) components used in this estimation need high power to select the beam in the desired direction.
To overcome these limitations, in this work, we propose Regular Scanning Support Detection (RSSD)
based channel estimation mechanism. Moreover, we utilise a 3D lens antenna array having metallic plate
and a switch in our model which compensates the limitation of phase shifters. Simulation results show that
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estimation even in lower SNR area which is highly desirable in the millimeter wave (mmWave) massive
MIMO systems.
3D METALLIC PLATE LENS ANTENNA BASED BEAMSPACE CHANNEL ESTIMATION TECHNIQUE F...ijwmn
Beamspace channel estimation mechanism for massive MIMO (multiple input multiple output) antenna
system presents a major process to compensate the 5G spectrum challenges caused by the proliferation of
information from mobile devices. However, this estimation is required to ensure the perfect channel state
information (CSI) for lower amount of Radio Frequency (RF) chains for each beam. In addition, phase
shifter (PS) components used in this estimation need high power to select the beam in the desired direction.
To overcome these limitations, in this work, we propose Regular Scanning Support Detection (RSSD)
based channel estimation mechanism. Moreover, we utilise a 3D lens antenna array having metallic plate
and a switch in our model which compensates the limitation of phase shifters. Simulation results show that
the proposed RSSD based channel estimation surpasses traditional technique and SD based channel
estimation even in lower SNR area which is highly desirable in the millimeter wave (mmWave) massive
MIMO systems.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Investigating the Effect of Mutual Coupling on SVD Based Beam-forming over MI...CSCJournals
This paper investigates the effect of mutual coupling on the performance of SVD based beam-forming technique over a Rician MIMO channel. SVD based beam-forming technique were proposed as a baseband signal processing algorithm to combat NLOS issues. However, most of the researches done in regards to SVD based beam-forming technique are based on the assumption of “ideal array antennas” in which lots of practical issues including the transmitter and receiver array geometry, the number of antenna elements, the inter-element spacing and orientation are not considered. Particularly, the effect of mutual coupling due to finite element spacing is neglected. In real array antennas, Mutual Coupling (MC) is always present and its effects cannot be neglected, especially for tightly spaced arrays. Although the presence of mutual coupling leads to the “cross talk” problems for the SVD based beam-forming techniques. However, it does not adversely affect the system capacity. For some particular range of SNR, inter-element spacing, mutual coupling can in fact increase the capacity and in fact be beneficial in terms of decreasing SER
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Iaetsd vlsi implementation of spatial modulation receiver
1. VLSI Implementation of Spatial Modulation Receiver
Irshad begum Mohammad
M.Tech.,(VLSID) Student
Shri Vishnu Engineering College for Women
Bhimavaram, AndhraPradesh, India
e-mail ID: md.irshadbegum@gmail.com
Abstract—In this paper, a new transmission
approach, called Spatial Modulation(SM) is
presented. The use of multiple antennas at the
transmitter and receiver sides (MIMO) can
significantly enhance the capacity and reliability
of wireless links. Spatial modulation (SM) is a
relatively new modulation technique for
multiple antenna systems which addresses these
issues.In SM, the stream of bits to be
transmitted in one channel is divided into two
groups. One group i.e., m-bit sequence chooses
one antenna from a total of Nt =2m
antennas. A
known signal is transmitted on this chosen
antenna. The remaining Nt-1 antennas remain
silent. The second group determines the symbol
to be transmitted from the chosen antenna. By
doing so, the problem of detection at the
receiver becomes one of merely finding out
which antenna is transmitting. This leads to a
significantly reduced complexity at the Receiver.
We have implemented the design of SM-
MIMO receiver in VLSI with low complexity
and achieved high performance.
Keywords- Spatial Modulation, MIMO systems,
IEEE-754 single precision floating point
numbers, Complex number multiplication,
Floating point adder/subtractor.
. I.INTRODUCTION
MIMO is an acronym that stands for Multiple
Input Multiple Output. MIMO technology utilizes
multiple antennas at both transmitter and receiver
terminals.The need to improve the spectral
efficiency and reliability of radio communication is
driven by the ever increasing requirement for
higher data rates and improved Quality of service
(QOS) across wireless links. MIMO technology is
one solution to attain this by transmitting multiple
data streams from multiple antennas [1]. MIMO
transmission strongly depends on transmit and
receive antenna spacing, transmit antenna
synchronization and the reduction of interchannel
interference (ICI) at the receiver input. An
alternative transmission approach that entirely
avoids ICI at the receiver input is used for BPSK
and QPSK transmission respectively.
The basic idea is to compress a block of Nt
symbols into a single symbol prior to transmission,
where Nt indicates the number of transmit
antennas. Information is retained by this symbol
Pushpa Kotipalli
Professor: ECE Department, Head of ATL
Shri Vishnu Engineering College for Women
Bhimavaram, AndhraPradesh, India
e-mail ID: pushpak@svecw.edu.in
and is mapped to one and only one of the Nt
antennas. The task of the receiver is twofold: First,
to estimate the single symbol and second to detect
the respective antenna number from which the
symbol is transmitted. However this scheme suffers
from a loss of Spectral efficiency. Traditional
modulation techniques such as BPSK (binary phase
shift keying), QPSK (Quadrature phase shift
keying) etc. map a fixed number of information bits
into one symbol. Each symbol represents a
constellation point in the complex two dimensional
signal planes. This is referred to as signal
modulation. In this paper an alternative
transmission approach is proposed in which this
two dimensional plane is extended to a third
dimension i.e., spatial dimension. This is referred
as Spatial modulation. This new transmission
technique will result in a very flexible mechanism
which is able to achieve high spectral efficiency
and very low receiver complexity.
Spatial modulation (SM) is introduced by
Mesleh in an effort to remove ICI, and the need for
precise time synchronization amongst antennas.
SM is a pragmatic approach for transmitting
information, where the modulator uses well known
modulation techniques (e.g., QPSK, BPSK), but
also employs the antenna Index to convey
information. Ideally, only one antenna remains
active during transmission so that ICI is avoided.
Spatial Modulation (SM) is a recently proposed
spatial multiplexing scheme for Multiple-Input-
Multiple-Output (MIMO) systems without
requiring extra bandwidth or extra transmission
power. SM does not place any restriction on the
minimum number of receive-antennas. This is
particularly beneficial for mobile handsets because
of the limited available space and the cost
constraints for these mass market devices. All these
properties and requirements make SM a very
attractive MIMO scheme for many potential
applications. The idea of using the transmit
antenna number as an additional source of
information is utilized in spatial modulation. The
number of information bits that can be transmitted
using spatial modulation depends on the used
constellation diagram and the given number of
transmit antennas.
In view of the fact that information is not only
included in the transmitted symbol but also in the
actual physical location of the antenna. Estimation
of transmit antenna number is of key importance.
The antenna number may change at the subsequent
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2. transmission instants, but at any given time only a
single transmit antenna is transmitting. The channel
vectors between each transmit antenna and the
number of receive antennas are considered
separately at the receiver. Assuming full
knowledge of the channel at the receiver, the
receiver chooses the transmit antenna number
which gives highest correlation. In addition to
eliminating ICI at the receiver [5], spatial
modulation produces no correlation between the
transmit antennas and it requires no
synchronization between them. On the other hand,
lack of synchronization is shown to have a major
effect on system performance. Furthermore, in
spatial modulation, the symbol duration is
unchanged while the transmitted symbol carries a
higher number of information bits due to the novel
extension of modulation to the spatial domain. As a
result, an improvement in spectrum efficiency is
obtained.
II.SYSTEM MODEL
This paper is organized as follows: In section II
System model is discussed, in section III hardware
implementation is discussed, section IV is
simulation results and section V is conclusion.
We consider a generic Nt × Nr Multiple-Input-
Multiple-output (MIMO) system with Nt and Nr
being the number of transmit and receive antennas
respectively[2]. Moreover, we assume that the
transmitter can send digital information via M
distinct signal waveforms (i.e., the so-called signal-
constellation diagram).
Fig1: MIMO System with Nt Transmit Antennas and Nr
receive antennas
The basic idea of SM is to map block of
information bits into two information carrying
units.
1. A symbol is chosen from a complex signal
constellation diagram.
2. A unique transmit antenna index is chosen
from the set of transmit antennas in the
antenna-array.
The principal working mechanism of SM is
depicted in fig 2:
Fig 2: Three dimensional constellation diagram of SM
Each Spatial constellation point defines an
independent complex plane of signal constellation
points. For illustrative purpose only two of such
planes are shown in Fig2. For i) Nt =4 and ii) M =4
Legend: i) Re = real axis of the signal constellation
diagram and
ii) Im = imaginary axis of the signal
constellation diagram.
The spatial modulation system model is shown in
Fig 3. q (k) is a vector of n bits to be transmitted.
The binary vector is mapped into another vector
x(k). Symbol number l in the resulting vector x(k)
is xl , where l is the mapped transmit antenna
number l € [1:Nt]. The symbol xl is transmitted
from the antenna number l over the MIMO
channel, H(k). H(k) can be written as a set of
vectors where each vector corresponds to the
channel path gains between transmit antenna v and
the receive antennas as follows:
H = [h1 h2 h3 ….. h Nt] (1)
Where:
hv = [h1,v h2,v … hNr,v]T
(2)
The received vector is then given by y(k)=hxl +
w(k); Where w(k) is the additive white Gaussian
noise vector.
The number of transmitted information bits n, can
be adjusted in two different ways, either by
changing the signal modulation and/or changing
the spatial modulation. Different modulation
techniques can be used for SM-MIMO such as
BPSK, QPSK or 4QAM, 8QAM, 16QAM etc.
These modulation techniques will be used to map
the information bits to the symbols by using
constellation diagrams. These symbols have to be
transmitted from the chosen transmitting antennas.
For example we consider only BPSK and QPSK
modulation techniques for mapping of information
bits to the symbols of BPSK and QPSK
constellation diagrams.BPSK (Binary Phase Shift
Keying) has two symbols +1 and -1 represented by
0 or 1 and QPSK (Quadrature Phase Shift Keying)
has four quadtatures with 90 degrees phase shift
each. It requires two bits to represent four symbols
such as [-1-1i, -1+1i, +1-1i, +1+1i]
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3. Fig 3: Spatial modulation system model
III. HARDWARE IMPLEMENTATION OF
SM-MIMO SYSTEM
A. .Transmitter Design of the SM-MIMO System
using BPSK/QPSK modulation
The transmitter of the SM-MIMO system has to
transmit the symbol and also have to select the
antenna for the transmission of the symbol from
among the group of antennas. A block of
information bits is mapped into the constellation
point in the signal and the spatial domain (antenna
Fig 4: Spatial Modulation Transmitter
From the binary source the serially generated
binary data will be converted into parallel data.
This binary data will be segmented into two groups
containing log2 (Nt) +log2(M) bits each, with
log2(Nt ) and log2 (M) being the number of bits
needed to identify a transmit-antenna in the
antenna-array and a symbol in the signal-
constellation diagram, respectively. The bits in the
first sub-block are used to select the antenna that is
switched on for data transmission, while all other
transmit-antennas are kept silent in the current
signaling time interval. The bits in the second sub-
block are used to choose a symbol in the signal-
constellation diagram using SM Mapper [3] as
shown in Fig.4. Then symbol will be transmitted
from antenna which is chosen among Nt
transmitting antennas as shown in Fig.4. In general,
the number of bits that can be transmitted using
Spatial modulation is given as follows:
n = log2 (Nt) + m (3)
m = log2 (M) where ‘ M’ is the used constellation
size.
Fig 5: Block diagram of MIMO Transmitter
The SM-MIMO transmitter is implemented in the
hardware using multiplexers. The multiplexers are
designed in such away to select the antenna and
choose the symbol from the input bit sequence
based on the modulation technique used. Flip flops
and ROM are used to store the binary input bits. If
BPSK modulation is considered for symbol
mapping, it requires two bits to represent antenna
index and four transmit antennas are required. If
the modulation is changed to QPSK, it requires
only one bit to represent antenna index and hence
only two transmit antennas will be sufficient. The
Random Binary data which is to be transmitted is
stored in an N-bit register. The random binary
sequence can be of any length and it is given to the
serial to parallel converter. From there we send
3bits parallely to the antenna. This 3-bit vector has
the transmitted symbol and also the antenna index.
The symbol is modulated using modulation
techniques such as BPSK or QPSK. Here we are
considering the noise free transmission over the
Rayleigh Fading Channel. The number of bits that
can be transmitted using spatial modulation is
given in equ 3 and it depends on the used
modulation technique. Here we consider only
BPSK and QPSK modulation techniques. 3bits
transmission using 4x4 antenna configuration and
2x4 antenna configuration is shown in Fig.6 & 7.
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4. Fig 6: 3bits transmission using BPSK Fig 7: 3bits transmission using QPSK
B. SM Wireless Channel
The transmission of binary data using spatial
modulation is carried out over a Wireless Flat
Fading Channel. The channel is a complex matrix
of channel path gains. It varies according to the
number of antennas and used signal constellation.
Fig 8. SM Wireless Channel
C. Receiver design of SM-MIMO systems for BPSK
and QPSK modulated transmission
The receiver of the SM-MIMO system is having
the full knowledge of the channel. The task of the
receiver is twofold:
i) To estimate the transmitted symbol
and
ii) To detect the respective antenna
number from which the symbol is
transmitted.
Fig 9. Block diagram of Receiver Task
The receiver iteratively computes the maximum
ratio combining results between the channel paths
from each transmit antenna to the corresponding
receive antenna. Assuming to have full knowledge
of the channel at the receiver, the receiver chooses
the transmit antenna number which gives highest
correlation.
Fig 10: Spatial modulation Receiver
Assume the following sequence of bits to be
transmitted, q(k) = [0 1 1]. Mapping this to BPSK
symbol and four transmit antennas results in x(k) =
[0,-1,0,0]T
. The vector x(k) is transmitted over the
MIMO channel H(k). We have to note that only
antenna number 2 will be transmitting the symbol
xl and the remaining three antennas will be
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5. transmitting zero energy. The channel matrix for
the noise free transmission using BPSK modulation
is given as follows.
According to the given sequence the symbol ‘-1’ is
detected at antenna 2 and maximum correlation is
obtained at that antenna position. The received
vector at the receiver input is obtained as follows:
y(k) = H(k)xl (4)
Where
0.5377+0.1229i
y(k) = 0.5450+0.0964i
-0.4624+0.2680i
-0.2854+0.1493i
The resultant is obtained by applying maximum
ratio combining to the received vector y(k) and
results in g and is given as follows:
gj =hj
H
y, For j = 1 : Nt (5)
where
g = [ g1 g2 …gNt]T
(6)
The obtained resultant g for the received vector
y(k) is given as follows:
g = -0.3124-0.0146
-1.0000
-0.1951+0.0719
-0.1811
Hence we can observe from the above resultant
vector that maximum correlation is obtained at
antenna 2 and it is transmitting the BPSK symbol.
Similarly, for QPSK modulated transmission of
3bits in the Spatial modulation the receiver of the
SM-MIMO system functions as follows:
Consider another 3bit sequence for transmission,
q(k) = [0 1 0].Mapping this to QPSK symbol and
two transmit antennas, results in x(k) = [1-i , 0]T.
The vector x(k) is transmitted over the MIMO
channel H(k). We have to note that only antenna
number 1 will be transmitting the symbol xl and the
antenna 2 will be transmitting zero energy.The
channel matrix H(k) and the noise free transmission
for QPSK modulation is given as follows:
The received vector at the receiver input is
obtained as follows:
y(k) = -0.6606+0.4149i
-0.6415+0.4486i
0.1944-0.7304i
0.1361-0.4348i
The resultant is obtained by applying maximum
ratio combining to the received vector y(k) and
results in g.The obtained resultant g for the
received vector y(k) is given as follows:
g = 1.0000-1.0000i
0.2978-0.3271i
Hence we can observe from the above
resultant vector that maximum correlation is
obtained at antenna 1 and it is transmitting the
QPSK symbol.
The Receiver in the SM-MIMO System has to
perform the matrix multiplications and additions of
complex numbers between the channel matrix H(k)
and the received vector y(k) at the receiver inputs.
The number of complex multiplications performed
by the receiver is given as Nt Nr and Nt (Nr -1)
complex additions. So, the total number of complex
operations required is given as:
[2Nt Nr – Nt] (7)
Each complex number of the channel matrix H(k)
and the received signal matrix y(k) is first
separated to its real part and imaginary part. It is
then converted to 32-bit floating point number
using the IEEE-754 format. The term floating-point
refers to the fact that the decimal point can float,
that it is placed anywhere relative to the many
digits of the amount. The single precision format is
shown in Fig 7.
1 8 23
Fig 11: Representation of single precision Floating point
number.
This format consists of 3fields- a sign bit(s), a
biased exponent (E) and a mantissa (F).
1-bit sign, S: A value of ‘1’ indicates that
the number is negative, and a ‘0’ indicates
a positive number.
Bias- 127 exponent, e = E + bias: This
gives us an exponent range from Emin = -
126 to Emax = 127
Fraction/mantissa: The fractional part of
the number significand, which is 1 plus
SIGN EXPONENT
(E)
MANTISSA (F)
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6. the fractional part. The leading 1 in the
significand is implicit.
Single precision floating point numbers have 1 bit
sign bit, 8bit exponent and 23 bit mantissa as
shown in Fig 7. Single precision can represent 32
bits. The floating point numbers are represented by
the equation which is given as follows:
X = (-1)^ s*1.F*2^ (E-127) (7)
Fig.12:Flow chart for floating point multiplication
Floating point multiplication process can be given
in the algorithmic form as follows:
Multiply the significands i.e.(M1*M2)
Placing the decimal point in the result.
Adding the exponent i.e, (E1+E2-bias).
Obtaining the sign, s1 xor s2
Normalizing the result
Rounding of the result to fit in an
available bit.
D. Floating point Adder/Subtractor
Floating –point addition has mainly 3 parts:
1. Adding hidden ‘1’ and Alignment of the
mantissas to make exponents equal.
2. Addition of aligned mantissas.
3. Normalization and rounding the result.
The initial mantissa is of 23-bit wide. After adding
the hidden ‘1’, it is 24 bit wide. First the exponents
are compared by subtracting one from the other and
looking at the sign (MSB which is carry) of the
result. To equalize the exponents, the mantissa part
of the number with lesser exponent is shifted
right‘d’ times. Where‘d’ is the absolute value
difference between the exponents. The sign of the
larger number is anchored. In Normalization, the
leading zeroes are detected and shifted so that a
leading one comes. Exponent also changes
accordingly forming the exponent for the final
packed floating point result. The whole process is
explained clearly in Fig13.
Fig 13: Architecture for Detection of Symbol by SM-
MIMO Receiver
The Receiver of the SM-MIMO system has to
iteratively perform multiplication operations of the
complex numbers between channel matrix H(k)
and received signal matrix y(k) for different
antennas. The received signal y(k) is different for
different symbols of BPSK and QPSK modulation
techniques for different transmit antenna numbers.
The complex number matrix multiplication is
highly optimized in terms of area, speed and
power. It is functionally verified in VHDL
language and synthesized.
IV. RESULTS
a) MATLAB Simulation Results
For the purpose of simulation, a flat Rayleigh
fading channel is assumed with additive white
Gaussian noise (AWGN). The receiver is assumed
to have full channel knowledge. Random binary
data of length 10,00,000 bits was generated. Let us
consider first thirty information bits of transmission
data.
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7. Fig14: Sampling index vs magnitude plot of first
30 bits of transmitting data
For 3bits transmission using QPSK modulation, the
2nd and 3rd
bits used for selection of symbol. Those
bits will be mapped to QPSK symbol and 1st bit
used for choosing the transmitting antenna. So
twenty bits are mapped as ten QPSK symbols
having magnitude and phase. These symbols have
transmitted from the chosen transmitting antenna.
The indices of chosen antennas will be transmitted
implicitly.
Fig15: Magnitude and phase plots of QPSK symbols
These QPSK symbols are multiplied by respective
path gains while transmitting through wireless
channel.
Fig16: Magnitude and Phase plots of channel effected
QPSK symbols
AWGN noise was added to BPSK symbols and
received bits are detected and number of errors is
detected. This procedure is repeated by changing
SNR in steps of 1dB from 0dB to 10dB. It is
having maximum BER equal to 0.08 and falling as
SNR increases.
Fig17: SNR VS BER Plot BPSK System
Additive white Gaussian Noise is added to QPSK
symbols. Now by changing the SNR insteps of 1dB
from 0dB to 10dB. Corresponding BER values are
calculated. It is having maximum BER equal to
0.15 and falling as SNR increases.
Fig18: SNR Vs BER Plot of QPSK system
BER for SM-MIMO was calculated at different
SNRs. SNR is changed in steps of 2dB from 0dB to
20dB. MATLAB simulations are repeated for
QPSK and BPSK modulation techniques with SM-
MIMO and its BER values are plotted.
Fig19: SNR Vs BER Plots for SM-BPSK and SM-QPSK
0 1 2 3 4 5 6 7 8 9 10
10
-6
10
-5
10
-4
10
-3
10
-2
10
-1
SNR in dB
BER
BPSK Modulation
0 1 2 3 4 5 6 7 8 9
10
-5
10
-4
10
-3
10
-2
10
-1
10
0
SNR in dB
BER
QPSK Modulation
0 2 4 6 8 10 12 14 16 18 20
10
-5
10
-4
10
-3
10
-2
10
-1
10
0
SNR in dB
BER
Spatial Modulation
BPSK
QPSK
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8. In SM detection errors occur more because
information bits are to be recovered from both
transmitted symbol and antenna number. The BER
for BPSK is less than that of QPSK modulation.
b) VLSI SIMULATION RESULTS
Fig20: Detection of BPSK symbol +1 at Antenna-1 by
Receiver
Fig21: Detection of BPSK symbol -1 at Antenna-1 by
Receiver
Fig22: Detection of BPSK symbol +1 at Antenna-2 by
Receiver
Fig23: Detection of BPSK symbol -1 at Antenna-2
by Receiver
Fig24: Detection of BPSK symbol +1 at Antenna-3 by
Receiver
Fig25: Detection of BPSK symbol -1 at Antenna-3 by
Receiver
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9. Fig26: Detection of BPSK symbol +1 at Antenna-4 by
Receiver
Fig27: Detection of BPSK symbol -1 at Antenna-4 by
ReceiveR
Fig28: Detection of QPSK symbol +1+i at Antenna-1
by Receiver
Fig29: Detection of QPSK symbol -1+i at Antenna-1 by
Receiver
Fig30: Detection of QPSK symbol +1-i at Antenna-1 by
Receiver
Fig31: Detection of QPSK symbol -1-i at Antenna-1 by
Receiver
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10. Fig32: Detection of QPSK symbol 1+i at Antenna-2 by
Receiver
Fig33: Detection of QPSK symbol -1+i at Antenna-2 by
Receiver
Fig34: Detection of QPSK symbol 1-i at Antenna-2 by
Receiver
Fig35: Detection of QPSK symbol -1-i at Antenna-2 by
Receiver
C) RTL Schematics of BPSK/QPSK Transmitter
Fig36: Top module of BPSK Transmitter
Fig37: Internal module of BPSK Transmitter
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11. Fig38: Technology Schematic of BPSK Transmitter
Fig39: Top module of QPSK Transmitter
Fig40: Internal module of QPSK Transmitter
Fig41: Technology Schematic of QPSK Transmitter
D) RTL Schematics of BPSK/QPSK Receiver
Fig42: Top module of QPSK Receiver
Fig43: Total Architecture of QPSK Receiver
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12. E) Synthesis Report of QPSK/BPSK Receiver
Fig 44: Comparison Table for BPSK/QPSK
Receiver
V.CONCLUSION
In this paper, we have implemented the
hardware design of the Spatial Modulation
MIMO Receiver with low complexity using
VLSI technology. It employs the Complex
number multiplication and Addition operations
between channel matrix and received signal
matrix. A novel high rate, low complexity
MIMO transmission scheme called Spatial
Modulation (SM) that utilizes the spatial
information in an innovative fashion has been
presented. It maps multiple information bits
into a single information symbol and into the
physical location of the single transmitting
antenna. The task of the receiver is to detect
the transmitted symbol and to estimate the
respective transmitting antenna. Spatial
modulation avoids ICI at the receiver input. In
addition, only one RF (radio frequency) chain
is required at the transmitter because at any
given time only one antenna transmits. Hence
the energy efficiency is achieved and the cost
of the transmitter is significantly reduced. The
Receiver of the SM-MIMO system has been
deigned, which computes complex number
multiplications with less amount of resources
and with low complexity and thereby achieved
high performance.
REFERENCES
[1] Caijun Zhong “Capacity and Performance
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[6] R.Mesleh, H.Haas, Y.Lee, and S.Yun,
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[13] IEEE standard for binary floating arithmetic.
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Logic
Utilization
QPSK
Receiver
BPSK
Receiver
Number of
Slices 4353 8826
Number of 4
input LUTs 8630 17492
Number of
bonded IOBs 897 897
Number of
MULT
18X18SIOs
4 4
Number of
GCLKs 1 1
Combinational
Path delay
143.524ns
93.547ns
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