IMPLEMENTATION OF LINEAR DETECTION TECHNIQUES TO OVERCOME CHANNEL EFFECTS IN ...IJCI JOURNAL
Spatial diversity technique enables improvement in quality and reliability of wireless link. Antenna
diversity along with understanding effects of channel on transmitted signal and methods to overcome the
channel impairment plays an important role in wireless communication where sharing of channel occurs
between users. In this paper single input single output system (SISO) is compared with multiple input
multiple output system (MIMO) in terms of bit error rate performance. Bit error rate performance is also
evaluated for MIMO with least squares (LS) and Minimum mean square error (MMSE) linear detection.
Further analysis and simulation is done to understand the effect of channel imperfections on BER.
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.
Today, we talk about the 5G NR communication technology and its characteristics.
The current communication technology is mainly divided into two types: wired communication and wireless communication. Wired communication uses wired media for conduction, such as copper wire, optical fiber, and so on.
Data transmission in wired media can reach a very high rate, and the current maximum experimental rate of a single fiber can reach 26Tbps. But the bottleneck of mobile communication lies in the wireless communication part. The current mainstream mobile communication standard is LTE, with a theoretical speed of 150Mbps, which is much lower than the wired transmission rate.
All of us have lofty expectations for 5G wireless technology.
Massive growth in demand for mobile data...
Massive growth in the number of connected devices...
Massive change in data transfer rates and latency...
Massive explosion in the diversity of mobile applications...
Massive....Massive....Massive....this word is frequently used like never before.
Delivering all these expectations depends on the evolution of existing technologies and revolution in new technologies.
One such revolutionary change is the use of massive multiple-input/multiple-output (MIMO) antenna systems in 5G for different frequency ranges.
Interested to understand and learn what mMIMO means?!
If yes, here is some massive theoretical information on Massive MIMO.
IMPLEMENTATION OF LINEAR DETECTION TECHNIQUES TO OVERCOME CHANNEL EFFECTS IN ...IJCI JOURNAL
Spatial diversity technique enables improvement in quality and reliability of wireless link. Antenna
diversity along with understanding effects of channel on transmitted signal and methods to overcome the
channel impairment plays an important role in wireless communication where sharing of channel occurs
between users. In this paper single input single output system (SISO) is compared with multiple input
multiple output system (MIMO) in terms of bit error rate performance. Bit error rate performance is also
evaluated for MIMO with least squares (LS) and Minimum mean square error (MMSE) linear detection.
Further analysis and simulation is done to understand the effect of channel imperfections on BER.
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.
Today, we talk about the 5G NR communication technology and its characteristics.
The current communication technology is mainly divided into two types: wired communication and wireless communication. Wired communication uses wired media for conduction, such as copper wire, optical fiber, and so on.
Data transmission in wired media can reach a very high rate, and the current maximum experimental rate of a single fiber can reach 26Tbps. But the bottleneck of mobile communication lies in the wireless communication part. The current mainstream mobile communication standard is LTE, with a theoretical speed of 150Mbps, which is much lower than the wired transmission rate.
All of us have lofty expectations for 5G wireless technology.
Massive growth in demand for mobile data...
Massive growth in the number of connected devices...
Massive change in data transfer rates and latency...
Massive explosion in the diversity of mobile applications...
Massive....Massive....Massive....this word is frequently used like never before.
Delivering all these expectations depends on the evolution of existing technologies and revolution in new technologies.
One such revolutionary change is the use of massive multiple-input/multiple-output (MIMO) antenna systems in 5G for different frequency ranges.
Interested to understand and learn what mMIMO means?!
If yes, here is some massive theoretical information on Massive MIMO.
The innovative and effective use of information and communication technologies (ICT) is becoming increasingly important to improve the economy of the world [1]. Wireless communication networks are perhaps the most critical element in the global ICT strategy, underpinning many other industries. It is one of the fastest growing and most dynamic sectors in the world.
The European Mobile Observatory (EMO) reported that the mobile communication sector had total revenue of €174 billion in 2010, there- by bypassing the aerospace and pharmaceutical sectors [2]. The development of wireless technologies has greatly improved people’s ability to communicate and live in both business operations and social functions.
The phenomenal success of wireless mobile communications is mirrored by a rapid pace of technology innovation. From the second generation (2G) mobile communication system debuted in 1991 to the 3G system first launched in 2001, the wireless mobile network has transformed from a pure telephony system to a network that can transport rich multimedia contents. The 4G wireless systems were designed to fulfill the requirements of International Mobile Telecommunications-Advanced (IMT-A) using IP for all services [3]. In 4G systems, an advanced radio interface is used with orthogonal frequency-division multiplexing (OFDM), multiple-input multiple-output (MIMO), and link adaptation technologies. 4G wireless networks can support data rates of up to 1 Gb/s for low mobility, such as nomadic/local wireless access, and up to 100 Mb/s for high mobility, such as mobile access. Long-Term Evolution (LTE) and its extension, LTE-Advanced systems, as practical 4G systems, have recently been deployed or soon will be deployed around the globe.
However, there is still a dramatic increase in the number of users who subscribe to mobile broadband systems every year. More and more people crave faster Internet access on the move, trendier mobiles, and, in general, instant com- munication with others or access to information. More powerful smart phones and laptops are becoming more popular nowadays, demanding advanced multimedia capabilities. This has resulted in an explosion of wireless mobile devices and services. The EMO pointed out that there has been a 92 percent growth in mobile broadband per year since 2006 [2]. It has been predicted by the Wireless World Research Forum (WWRF) that 7 trillion wireless devices will serve 7 billion people by 2017; that is, the number of network-connected wireless devices will reach 1000 times the world’s population [4]. As more and more devices go wireless, many research challenges need to be addressed.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
One of the main challenges faced by the developing (3GPP-LTE-Advanced) standard is providing high throughput at the cell edge.
One solution to improve coverage is the use of fixed relays.
A Survey on Various Receivers for UWB CommunicationIOSR Journals
Abstract: Ultra Wideband (UWB) is an inherent technology used in current wired and wireless communication systems. These systems share the radio frequency spectrum with narrowband signals and also provide high data rates, low cost, greater bandwidth, good time domain resolution and improved channel capacity. UWB technology has attracted a lot of inquisitiveness in researchers worldwide. There are several challenges in designing a UWB receiver such as channel estimation and interference mitigation. In multi-user environments, multiple access interference (MAI) degrades the performance of UWB systems. To prevail over these challenging issues, an adaptive and robust receiver needs to be designed to alleviate interference in all types of environments. In this paper, the different types of receiver structures like Rake, energy, correlation, suboptimal, near-optimal and adaptive nonlinear rake receivers are surveyed and their performances are analyzed. This survey helps to realize superior bit error rates (BER) and excellent signal-to-noise ratios (SNR). Keywords: Adaptive nonlinear rake receivers, Correlation receivers, Energy detectors, Rake receivers, Ultra wideband (UWB).
Performance Analysis of Ultra Wideband Communication SystemEditor IJMTER
Ultra-Wideband (UWB) is a radio transmission scheme that uses extremely low power
pulses of radio energy spread across a wide spectrum of frequencies. UWB has several advantages
over conventional continuous wave radio communications including potential support for high data
rates, robustness to multipath interference and fading. The paper covers Ultra Wide-Band
technology. General description, Challenges, various modulation schemes such as OOK, PAM,
PPM, and BPSK under specified Ultra Wide Band regimes: low Power spectral density, large
spreading ratio and a highly dispersive channel. The capacity and BER performance of a single user
ultra wideband communication is investigated for various modulation schemes and coded, uncoded
methods also simulated. Fading channel like Ricean and Rayleigh are compared. Channelized digital
receiver concept is discussed.
6 ijaems jan-2016-15-comparative analysis of free space optics and single mod...INFOGAIN PUBLICATION
In this paper we have done comparative analysis of free space optics and single mode fibre optical channels system. Performance study is done for variable ranges 1km, 50km and 100km for the FSO and SMF channels. Single Mode Fiber and Free Space Optical Channel is observed that maximum Q factor, minimum bit error rate and signal power. FSO requires no licensing or frequency synchronization. It also provides the transmission of data with unlimited bandwidth. Results expose the ability of improving the Q factor by using these channels and the optimum effect concluded at (1km) length of optical rang by using the FSO channel i.e. the quality factor and signal power were increased to reach (1943 ) and (22.46dBm) respectively and MIN. BER is zero.
About Quality of Optical Channels in Wavelength Division Multiplexing Systems...TELKOMNIKA JOURNAL
Researches and the analysis of factors of the systems influencing quality with division according to radiation wavelength are given in article. Especially the communication quality in systems with wave division of channels is influenced by hindrances from Four Wave Mixing. In this regard the technique of definition of number of products of nonlinear effect of Four Wave Mixing getting to ranges of working channels, results of calculation of combinational products for the different number of channels in systems with division according to radiation wavelength is given. Power of a hindrance of Four Wave Mixing in systems with wave division of channels is calculated. Methods of reduction of influences of these nonlinear effects are considered. Conclusions and recommendations on ensuring quality of optical channels are provided in systems with wave division.
Beamforming with per antenna power constraint and transmit antenna selection ...sipij
In this paper, transmit beamforming and antenna selection techniques are presented for the Cooperative
Distributed Antenna System. Beamforming technique with minimum total weighted transmit power
satisfying threshold SINR and Per-Antenna Power constraints is formulated as a convex optimization
problem for the efficient performance of Distributed Antenna System (DAS). Antenna Selection technique is
implemented in this paper to select the optimum Remote Antenna Units from all the available ones. This
achieves the best compromise between capacity and system complexity. Dual polarized and Triple
Polarized systems are considered. Simulation results prove that by integrating Beamforming with DAS
enhances its performance. Also by using convex optimization in Antenna Selection enhances the
performance of multi polarized systems.
Channel characterization and modulation schemes of ultra wideband systemsijmnct
Channel measurements are generally the basis for channel models. Strictly speaking, channel models do
not exclusively require measurements, but it is a fact that all standardized models are derived from
measurements. This licentiate paper is focused on the characterization of ultra-wideband wireless channels.
The paper presents the characterization of ultra wide band system with their benefits and drawbacks within
the telecommunication industry. Furthermore with the advantages of Ultra wideband several modulation
techniques for UWB are discussed in this paper.
Cablexa, a preferred manufacturer of high quanlity cables and connectivity products, offers a wide range of solutions and unrivaled customer service for the electronics and data communications industries. The company's product portfolio includes cable assemblies, connectors, adapters, computer networking components, and custom products, as well as optical fiber communication equipments which include ethernet switches, optical transceivers, fiber optic patch cord, WDM system, optical protection system, optical Bypass system etc.
The innovative and effective use of information and communication technologies (ICT) is becoming increasingly important to improve the economy of the world [1]. Wireless communication networks are perhaps the most critical element in the global ICT strategy, underpinning many other industries. It is one of the fastest growing and most dynamic sectors in the world.
The European Mobile Observatory (EMO) reported that the mobile communication sector had total revenue of €174 billion in 2010, there- by bypassing the aerospace and pharmaceutical sectors [2]. The development of wireless technologies has greatly improved people’s ability to communicate and live in both business operations and social functions.
The phenomenal success of wireless mobile communications is mirrored by a rapid pace of technology innovation. From the second generation (2G) mobile communication system debuted in 1991 to the 3G system first launched in 2001, the wireless mobile network has transformed from a pure telephony system to a network that can transport rich multimedia contents. The 4G wireless systems were designed to fulfill the requirements of International Mobile Telecommunications-Advanced (IMT-A) using IP for all services [3]. In 4G systems, an advanced radio interface is used with orthogonal frequency-division multiplexing (OFDM), multiple-input multiple-output (MIMO), and link adaptation technologies. 4G wireless networks can support data rates of up to 1 Gb/s for low mobility, such as nomadic/local wireless access, and up to 100 Mb/s for high mobility, such as mobile access. Long-Term Evolution (LTE) and its extension, LTE-Advanced systems, as practical 4G systems, have recently been deployed or soon will be deployed around the globe.
However, there is still a dramatic increase in the number of users who subscribe to mobile broadband systems every year. More and more people crave faster Internet access on the move, trendier mobiles, and, in general, instant com- munication with others or access to information. More powerful smart phones and laptops are becoming more popular nowadays, demanding advanced multimedia capabilities. This has resulted in an explosion of wireless mobile devices and services. The EMO pointed out that there has been a 92 percent growth in mobile broadband per year since 2006 [2]. It has been predicted by the Wireless World Research Forum (WWRF) that 7 trillion wireless devices will serve 7 billion people by 2017; that is, the number of network-connected wireless devices will reach 1000 times the world’s population [4]. As more and more devices go wireless, many research challenges need to be addressed.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
One of the main challenges faced by the developing (3GPP-LTE-Advanced) standard is providing high throughput at the cell edge.
One solution to improve coverage is the use of fixed relays.
A Survey on Various Receivers for UWB CommunicationIOSR Journals
Abstract: Ultra Wideband (UWB) is an inherent technology used in current wired and wireless communication systems. These systems share the radio frequency spectrum with narrowband signals and also provide high data rates, low cost, greater bandwidth, good time domain resolution and improved channel capacity. UWB technology has attracted a lot of inquisitiveness in researchers worldwide. There are several challenges in designing a UWB receiver such as channel estimation and interference mitigation. In multi-user environments, multiple access interference (MAI) degrades the performance of UWB systems. To prevail over these challenging issues, an adaptive and robust receiver needs to be designed to alleviate interference in all types of environments. In this paper, the different types of receiver structures like Rake, energy, correlation, suboptimal, near-optimal and adaptive nonlinear rake receivers are surveyed and their performances are analyzed. This survey helps to realize superior bit error rates (BER) and excellent signal-to-noise ratios (SNR). Keywords: Adaptive nonlinear rake receivers, Correlation receivers, Energy detectors, Rake receivers, Ultra wideband (UWB).
Performance Analysis of Ultra Wideband Communication SystemEditor IJMTER
Ultra-Wideband (UWB) is a radio transmission scheme that uses extremely low power
pulses of radio energy spread across a wide spectrum of frequencies. UWB has several advantages
over conventional continuous wave radio communications including potential support for high data
rates, robustness to multipath interference and fading. The paper covers Ultra Wide-Band
technology. General description, Challenges, various modulation schemes such as OOK, PAM,
PPM, and BPSK under specified Ultra Wide Band regimes: low Power spectral density, large
spreading ratio and a highly dispersive channel. The capacity and BER performance of a single user
ultra wideband communication is investigated for various modulation schemes and coded, uncoded
methods also simulated. Fading channel like Ricean and Rayleigh are compared. Channelized digital
receiver concept is discussed.
6 ijaems jan-2016-15-comparative analysis of free space optics and single mod...INFOGAIN PUBLICATION
In this paper we have done comparative analysis of free space optics and single mode fibre optical channels system. Performance study is done for variable ranges 1km, 50km and 100km for the FSO and SMF channels. Single Mode Fiber and Free Space Optical Channel is observed that maximum Q factor, minimum bit error rate and signal power. FSO requires no licensing or frequency synchronization. It also provides the transmission of data with unlimited bandwidth. Results expose the ability of improving the Q factor by using these channels and the optimum effect concluded at (1km) length of optical rang by using the FSO channel i.e. the quality factor and signal power were increased to reach (1943 ) and (22.46dBm) respectively and MIN. BER is zero.
About Quality of Optical Channels in Wavelength Division Multiplexing Systems...TELKOMNIKA JOURNAL
Researches and the analysis of factors of the systems influencing quality with division according to radiation wavelength are given in article. Especially the communication quality in systems with wave division of channels is influenced by hindrances from Four Wave Mixing. In this regard the technique of definition of number of products of nonlinear effect of Four Wave Mixing getting to ranges of working channels, results of calculation of combinational products for the different number of channels in systems with division according to radiation wavelength is given. Power of a hindrance of Four Wave Mixing in systems with wave division of channels is calculated. Methods of reduction of influences of these nonlinear effects are considered. Conclusions and recommendations on ensuring quality of optical channels are provided in systems with wave division.
Beamforming with per antenna power constraint and transmit antenna selection ...sipij
In this paper, transmit beamforming and antenna selection techniques are presented for the Cooperative
Distributed Antenna System. Beamforming technique with minimum total weighted transmit power
satisfying threshold SINR and Per-Antenna Power constraints is formulated as a convex optimization
problem for the efficient performance of Distributed Antenna System (DAS). Antenna Selection technique is
implemented in this paper to select the optimum Remote Antenna Units from all the available ones. This
achieves the best compromise between capacity and system complexity. Dual polarized and Triple
Polarized systems are considered. Simulation results prove that by integrating Beamforming with DAS
enhances its performance. Also by using convex optimization in Antenna Selection enhances the
performance of multi polarized systems.
Channel characterization and modulation schemes of ultra wideband systemsijmnct
Channel measurements are generally the basis for channel models. Strictly speaking, channel models do
not exclusively require measurements, but it is a fact that all standardized models are derived from
measurements. This licentiate paper is focused on the characterization of ultra-wideband wireless channels.
The paper presents the characterization of ultra wide band system with their benefits and drawbacks within
the telecommunication industry. Furthermore with the advantages of Ultra wideband several modulation
techniques for UWB are discussed in this paper.
Cablexa, a preferred manufacturer of high quanlity cables and connectivity products, offers a wide range of solutions and unrivaled customer service for the electronics and data communications industries. The company's product portfolio includes cable assemblies, connectors, adapters, computer networking components, and custom products, as well as optical fiber communication equipments which include ethernet switches, optical transceivers, fiber optic patch cord, WDM system, optical protection system, optical Bypass system etc.
We manufacture armored fiber patch cables with any connector configuration in singlemode or multimode and in any length you need, so if you don't see what you want in the list, please email us to get a quote on custom armored fiber patch cables.
For more details on our products and services, please feel free to visit us at http://www.cablexa.com/
Cablexa also delivers customized connectivity products and solutions renowned for superior quality, value, and innovation using premium components and the latest technologies to maximize cable performance and ensure compliance with industry SPECIFICATIONS for each cable and its designated application.
COMPARISON OF SISO & MIMO TECHNIQUES IN WIRELESS COMMUNICATIONJournal For Research
This paper compares MIMO vs SISO and mention difference between SISO and MIMO techniques. These are techniques based on number of antennas used at the transmitter and the receiver. SISO has been in use since the invention of wireless system.MIMO concept has been recently added to the wireless system. There are different MIMO algorithms which have been developed for two main reasons to increase coverage and to increase the data rates. SISO means Single Input Single Output while MIMO means Multiple Input Multiple Output.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Ber analysis of 2x2 mimo spatial multiplexing under awgn and rician channels ...ijwmn
Multiple-input–multiple-output (MIMO) wireless systems use multiple antennas at transmitting and
receiving end to offer improved capacity and data rate over single antenna systems in multipath channels.
In this paper we have investigated the Spatial Multiplexing technique of MIMO systems. Here different
fading channels like AWGN and Rician are used for analysis purpose. Moreover we analyzed the technique
using high level modulations (i.e. M-PSK for different values of M). Detection algorithms used are Zero-
Forcing and Minimum mean square estimator. Performance is analyzed in terms of BER (bit error rate) vs.
SNR (signal to noise ratio).
Channel Estimation Techniques in MIMO-OFDM LTE SystemsCauses and Effects of C...IJERA Editor
There is an increasing demand for high data transmission rates with the evolution of the very large scale integration (VLSI) technology. The multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems are used to fulfill these requirements because of their unique properties such as high spectral efficiency, high data rate and resistance towards multipath propagation. MIMO-OFDM systems are finding their applications in the modern wireless communication systems like IEEE 802.11n, 4G and LTE. They also offer reliable communication with the increased coverage area. The bottleneck to the MIMO-OFDM systems is the estimation of the channel state information (CSI). This can be estimated with the help of any one of the Training Based, Semiblind and Blind Channel estimation algorithms. This paper presents various channel estimation algorithms, optimization techniques and their effective utilization in MIMO-OFDM for modern wireless LTE systems.
Design and analysis of mimo system for uwb communicationijwmn
Multiple transmit and receive antennas are used MIMO system. The system creates parallel MIMO
subchannels to transmit independent streams of data under the appropriate channel conditions. Similarly,
Ultrawideband (UWB) communication has attracted great interest for various applications in recent days.
Spatially multiplexed (SM) multiple-input multiple-output (MIMO) systems gains the spectral efficiency as
well as high data rates without consuming additional power, bandwidth or time slots. In this paper, we
extend the concept of MIMO to UWB systems. The correlated channel for such purpose is considered and
the performance has been analyzed for spatial multiplexing SM-UWB-MIMO system which is required for
estimation. The system performance substantially degrades in the presence of high values of spatial
correlation. To avoid the degradation of such system, it has been designed for virtual UWB-MIMO Time
Reversal (TR) system, so that it is not affected by the transmit correlation. Another novel method to reduce
the effect of correlation has been chosen by taking the Eigen value of the channel matrix for the
computation of the system performance. The result shows its performance.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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.
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
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
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.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
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Application of multi antenna technologies in cellular mobile communications
1. Application of Multi-antenna Technologies in Cellular Mobile Communications
Qing-hua Wu
Dalian Maritime University
Dalian Naval Academy
Dalian, P. R. China
wqhaaa76@163.com
Zi-wei Zheng
Dalian Maritime University
Dalian, P. R. China
Southeast University
Nanjing, P. R. China
Ningbo University
Ningbo, P. R. China
ziwei_zheng@yahoo.com.cn
Shao-hua Chen
Dalian Maritime University
Dalian, P. R. China
chengshineng@163.com
Abstract—In cellular mobile communications, multipath
fading, shadowing, near-far problem and the Doppler effect
have led to a complex radio wave propagation environment.
Furthermore, with the continuously increasing of users and
operations, not only new bandwidth is required, new
technologies and measures are also expected to improve the
system capacity and channel capacity. This paper introduces
the general structure of multi-antenna communication systems
firstly, then analyzes the characteristics of various multi-
antenna technologies and their advantages over single antenna
system when applied in cellular mobile communications.
Finally, combined with the trends and requirements of cellular
mobile communications, the further application of multi-
antenna technologies in future cellular mobile communications
is prospected.
Keywords-cellular network, multiple input multiple output,
adaptive antenna array, virtual antenna array, channel
capacity, diversity.
I. INTRODUCTION
In traditional cellular networks, there is only one antenna
in base stations (BS) and mobile stations (MS) usually. This
is called single input single output (SISO) system. In a
continuous SISO channel, when there is only additive white
Gaussian noise (AWGN), the capacity of this channel is:
)1(log)1(log
0
22
Bn
S
C
Where C is channel capacity, is signal-to-noise ratio
(SNR), S is power of signal, B is channel bandwidth, and n0
is side power spectral density.
Equation (1) gives the upper limit of reliably rate of
communications in a AWGN channel. The channel capacity
can be enhanced by adding channel bandwidth or increasing
SNR at receiver. But the increase of channel bandwidth will
lead to the increase of noise power, so channel capacity can’t
be enhanced infinitely with the increase of bandwidth. When
channel bandwidth tends to infinite, channel capacity will
tend to 1.44S/n0, a constant proportion to SNR at receiver. At
the same time, when SNR at receiver is enhanced because of
the increase of transmit power, the electromagnetic pollution
to environment and interference between equipments will
also be enhanced.
The channel condition and motion of MS result in the
awful environment of radio wave propagation, and Doppler
shift, multipath fading, shadowing loss, near-far problem are
austere challenge in a cellular network. At the same time,
because of the increasing user and operation, new techniques
and measures must be introduced to enhance channel
capacity and spectral efficiency except for extra bandwidth.
How to enhance channel capacity and spectral efficiency in
limited bandwidth becomes a hotspot in cellular network
research.
At present, multi-antenna techniques have been widely
applied in cellular networks because they have geminate
channel capacity. The structure of radio communication
systems is shown in Fig. 1, in which there are i antennas at
transmitter and j antennas at receiver. Based on the number
of transmit/receive antenna and correlation of different array
elements, radio communication systems can be classed into
SISO, single input multiple output (SIMO), multiple input
single output (MISO), multiple input multiple output
(MIMO) and adaptive antenna array (AAA). SIMO and
MISO can be regarded as two special example of MIMO.
II. DIVERSITY TECHNOLOGIES
Diversity is a technology in which signals from multiple
independent channels is utilized to restore the information at
receiver.
Figure 1. Figure 1 Structure of radio communication systems
Because the probability that independent multipath
signals are in deep fading simultaneously is seldom
impossible, the SNR at receiver of expect signal can be
enhanced by combining the multipath signal based on some
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2. rule. At the same time, the effects of multipath and
shadowing can be weakened, and the channel capacity will
be increased.
There are several diversity techniques based on multi-
antenna, including time diversity, frequency diversity, space
diversity, polarization diversity, angle diversity, etc.
Polarization diversity and angle diversity are two special
examples of space diversity [1]
. If there is one antenna at
transmitter (i=1) and multiple antennas at receiver (j>1), then
it is a SIMO system and the diversity is called receive
antenna diversity. If there are multiple antennas at
transmitter (i>1) and one antenna at receiver (j=1), then it is
a MISO system and the diversity is called transmit antenna
diversity.
A. Receive antenna diversity
Because the channel state information at the receiver
(CSIR) is available easily than at the transmitter, receive
antenna diversity is usually adopted in traditional space
diversity. The optimal combination of independent signals at
receiver can improve the SNR at receiver, channel capacity
and spectral efficiency. The combination rules adopted at
receiver usually include selective combining, equal-gain
combining and maximal ratio combining. The maximal ratio
combining is the optimum combining rule because the SNR
at receiver can reach the maximum which is equal to the sum
of instantaneous SNR of all single received signals[2]
.
B. Transmit antenna diversity
In transmit antenna diversity, several duplication of
transmitting signal with spatial redundancy are transmitted to
receivers by multiple independent antennas or antenna array.
According to whether the channel state information (CSI) is
available at transmitter or not, transmit antenna diversity can
be divided into closed-loop transmit diversity and open-loop
transmit diversity.
In closed-loop transmit diversity, the CSI is needed at
transmitter and acquired through feedback channel from
receivers. The coefficient of transmit antennas is adaptive to
CSI and power of received signal or channel capacity can
acquire the maximum. It is very difficult to acquire CSI at
transmitter usually. Uncertain estimate to CSI will influence
the performance of closed-loop transmit diversity system. If
the estimate of CSI isn’t match with the current CSI will also
lead to the same result. When the CSI of uplink and
downlink are similar, the closed-loop transmit diversity is
feasible even without the feedback information of CSI from
receivers.
To a fast fading channel, it is usually very difficult to
acquire the effective CSI at transmitter in channel coherence
time. So the open-loop transmit diversity is applied more
widely than closed-loop transmit diversity. In an open-loop
transmit diversity, data must be processed (like space-time
coding) before transmission to get diversity gain.
SIMO and MISO are very fit to present cellular
networks. If we configure multiple antennas at BS and single
antenna at MS, receive antenna diversity can be realized in
uplink and transmit antenna diversity can be realized in
downlink. The lower power level of signal from MS can be
compensated to improve signal quality and enlarge the
effective communication distance in uplink. At the same
time, the complexity, size and cost of MS can be reduced for
the transmit antenna diversity in downlink.
III. MIMO
To make use of transmit diversity and receive diversity
synthetically, multiple-antenna can be configured to
transmitter and receiver synchronously in a MIMO system.
MIMO can be divided into centralizing MIMO and
distributing MIMO depending on that multiple-antenna is
belonged to one terminal or geographically separated
terminals.
A. Centralizing MIMO
If the signal from multiple-antenna is irrelevant,
independent parallel channels can be brought by space-time
coding and multiple-antenna in the transmitter of a
centralizing MIMO system. Transmit diversity can bring
spatial multiplexing gain, enhance information transmitting
rate and spectral efficiency. Receive diversity can increase
channel capacity by improving SNR at receiver.
In a MIMO system with i transmit antennas and j receive
antennas, if CSI is certain but unavailable to the transmitter
and transmitting power is allocated to every antenna
averagely in a deterministic channel, channel capacity of the
MIMO system is[3]
:
Q
i
IC jiMIMO ),min(2 detlog
Where det( ) denotes the determinant of ( ), Imin(i, j) is
a identity matrix of min(i, j) min(i, j), H denotes the
channel coefficient matrix from transmit antenna to receive
antenna, and
jiwhenHH
jiwhenHH
Q H
H
,
,
where the
superscript H denotes conjugate transpose.
When multiple transmit antennas make of orthogonal
sub-channels, the channel capacity is:
)1(log),min( 2jiCMIMO
It is obvious from (3) that the channel capacity of a
MIMO system is increased linearly with min(i, j) without
extra power and bandwidth. This is especially important to
cellular networks with increasing user and operation.
The realization of MIMO channel capacity is determined
by if the CSI is available to transmitters. If the transmit
power is fixed and the CSI is available to transmitters, the
transmit power can be made the best of by Water-filling
methods and the capacity can be achieved in different
channel conditions[4]
.
SIMO and MISO can be regarded as two special
examples of MIMO, so the capacity of SIMO and MISO
channel in the same condition can be deduced from (2):
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3. )1(log2 jCSIMO
)1(log2MISOC
Equation (4) shows that the diversity gain of a SIMO is
equal to the number of receive antennas compared with
SISO. Equation (5) shows that the MISO channel capacity is
equal to SISO when CSI is unavailable to transmitters. But
when CSI is available to transmitters, the most diversity gain
of MISO is equal to the number of transmit antennas
compared with SISO without extra transmitting power and
bandwidth [5]
.
B. Distributing MIMO
The spatial diversity gain from multi-antenna in MIMO
systems can confront fading channel, and the data
transmission rate and spectral efficiency are increased
significantly. But the application of centralizing MIMO is
limited because MS in cellular networks can’t configure
multi-antenna for consideration of size, power consumption
and cost.
The structure of a distributing MIMO system is shown in
Fig. 2 in which there are i-1 MS around T1 and j-1 MS
around R1. The antennas of several geographically closed
MS can construct a virtual antenna array (VAA) or a
distributing MIMO system. When T1 communicates with R1,
the MS geographically closed to T1 receive and transmit the
information from T1 after some kind of processing. Of course,
they can transmit their own information in this process.
Similarly, the R1 receive the information directly from the T
and from some other MS geographically closed to R1.
Figure 3 is a simple application of distributing MIMO in
cellular mobile communications in which there is a source
MS (MS1) and two relay MS (MS2 and MS3). In the uplink of
MS1, when MS2 and MS3 receive the information from MS1,
they process the information according to the cooperative
protocol and transmit the processed information to the BS
with their own information at the same time. The process of
the downlink is similar with the uplink. The research shows
that the system capacity is enhanced and/or the reliability of
the link from the source to the destination is improved [6]
.
Figure 2. Illustration of a distributed MIMO
Figure 3. A simple distributed MIMO
The cooperation in VAA makes a single-antenna MS to
have the spatial diversity gain, so the advantages of a
centralizing MIMO is also achieved in a distributing MIMO,
including higher data transmission rate [7]
, lower outage
probability and bit error rate, more coverage of cells, etc.
Usually, a MS of cellular networks have only single
antenna, so the distributing MIMO is much applicable than
centralizing MIMO.
When space-time code is introduced, the transmission
performance is improved obviously even in worse uplink
channel condition. At the same time, the transmission
performance is also improved slightly in better uplink
channel condition[8]
.
IV. ADAPTIVE ANTENNA ARRAY
The signal arrived to receive antenna array must be
strongly relevant in Adaptive Antenna Array (AAA), and
this is different from MIMO. AAA track and extract the
spatial information of MS, and transmit/receive signal in the
same channel using orientation difference of MS without
interference. The structure of AAA at receiver is shown in
Fig. 4. The radio wave arriving at multiple receive antenna is
sent to the beamformer after analog-to-digital conversion.
The beamformer adjusts the coefficient of every array
element to optimum reception according to some rule.
Based on reciprocity theorem, if the coefficient keep
invariable, the transmit antenna array will have the same
orientation gain.
AAA can enhance the SNR at receiver and channel
capacity obviously by improving expectation signal quality
and restraint interference from different orientation. At the
same time, AAA spreads the communication resources from
time domain, frequency domain and code domain to space
domain and increases the system capacity greatly.
V. CONCLUSIONS
At present, multi-antenna techniques are applied to
cellular mobile communications widely. AAA is introduced
to time division – synchronous code division multiple access
(TD-SCDMA) and MIMO (including SIMO and MISO) is
introduced to wideband code division multiple access
(WCDMA) and code division multiple access 2000
(CDMA2000) in the third generation (3G) standard of
cellular mobile communication.
The AAA used in cellular mobile communication is
called smart antenna. The system capacity of cellular
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4. networks can be increased significantly for spatial gain of
smart antenna.
Compared with SISO, MIMO is very fit for the
development trend of cellular mobile communication for the
obvious advantage on communication distance, throughput
and reliability. Furthermore, MIMO can enhance system
capacity and spectral efficiency significantly without extra
bandwidth. So, the idea of MIMO is adopted by nearly all
schemes in beyond 3G (B3G) [9]
. The related standards of
MIMO have been published by International
Telecommunication Union (ITU) and the Third Generation
Partnership Project (3GPP).
There is no problem to portable computer in configuring
multiple antennas, and the antennas should have the
characteristics of high gain and small size [10]
. But it is
difficult to MS for the limitation of size, power consumption
and cost. This problem can be solved in a distributing MIMO
system by cooperation among MS.
For the different characteristics and their advantages over
single antenna technology, multi-antenna technologies will
be applied synthetically with single antenna technology in
the future cellular mobile communications for better
performance on channel capacity and spectral efficiency.
ACKNOWLEDGMENT
This work was supported in part by the National Science
Foundation of China (No. 60772119, 60972063), the
Program for New Century Excellent Talents in University
(No. NCET-08-0706), the Science Foundation of Liaoning
Province (No. 20072147), the Program for Liaoning
Excellent Talents in University (No. 2008RC56), the Open
Research Fund of Nation Mobile Communications Research
Laboratory of Southeast University (No. W200812), the
Scientific Research Development Fund of Dalian Navy
Academy (No. 2010003).
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Figure 4. Structure of adaptive antenna array systems
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