SlideShare a Scribd company logo
1 of 17
BASIC PERSPECTIVE OF
 MIMO-OFDM BASED SYSTEM




                                 Rajat Dak (b.tech)
Department of Electronics and Communication Engineering
               Pacific Institute Of Technology,
                  Udaipur, Rajasthan, India
Significance & Introduction of
                       MIMO-OFDM
    Ever-increasing demands of
     multimedia services and the growth of
     Internet related contents lead to
     increasing interest to high speed
     wireless communications

    Challenges:
    - to improve spectral efficiency

    - efficient bandwidth utilization

    - high speed processing network

    Solution: MIMO-OFDM
Aspirations (Mathematical) of a
                System Designer
                                                               Achieve
High data rate                                           “Channel Capacity (C)”



Quality                         Minimize Probability of Error (Pe)

                              Minimize complexity/cost of
                              implementation of proposed
                              System
                              Minimize transmission power
                              required (translates into SNR)
                              Minimize Bandwidth (frequency
                              spectrum) Used




Real-life Issues
MIMO Concept
                                             Multiple i/p multiple o/p
                                              antenna array

                                             Used to increase data rates,
                                              improve capacity and BER (bit
                                              error rate) of the system

Diagram of a MIMO wireless transmission
                                             Typically used with ofdm so as
               system.
                                              to suit best needs in next
                                              generation comm. i.e. “4G”
 MIMO technology leverages multipath behavior by using
multiple, “smart” transmitters and receivers with an added
“spatial” dimension to dramatically increase performance and
range.
 MIMO allows multiple antennas to send and receive multiple
spatial streams at the same time.
A wireless adapter with 3 antennas may have a speed of 600mbps
while an adapter with 2 antennas has a speed of 300mbps.
MIMO makes antennas work smarter by enabling them to
combine data streams arriving from different paths and at different
times to effectively increase receiver signal-capturing power.
 If there are more antennas than spatial streams, the additional
antennas can add receiver diversity and increase range.
Principle of Diversity
The principle of diversity is to provide the receiver with multiple versions of
the same signal.
The probability that they will all be affected at the same time is considerably
reduced.
Diversity helps to stabilize a link and improves performance, reducing error
rate.
  Different diversity modes are available and provide a number of advantages:
Time diversity:   Using time diversity, a message may be transmitted at
different times, e.g. using different timeslots and channel coding.
Frequency diversity:   This form of diversity uses different frequencies. It may
be in the form of using different channels, or technologies such as spread
spectrum / OFDM.
Space diversity:   Space diversity used in the broadest sense of the definition is
used as the basis for MIMO. It uses antennas located in different positions to
take advantage of the different radio paths that exist in a typical terrestrial
environment.
MIMO Design Criterion
   MIMO Systems can provide two types of gain



     Spatial Multiplexing Gain                   Diversity Gain


      Maximize transmission rate        Minimize Pe (conservative
     (optimistic approach)              approach)
      Use rich scattering/fading to     Go for Reliability / QoS etc
     your advantage
                                         Combat fading
Spatial Diversity:  
Spatial diversity used refers to
transmit and receive diversity.
The methodology is used to provide
improvements in the signal to noise
ratio and they are characterized by
improving the reliability of the system
with respect to the various forms of
fading.                                Spatial Multiplexing:  
                                       This form of MIMO is used to
                                       provide additional data capacity
                                       by utilizing the different paths
                                       to carry additional traffic, i.e.
                                       increasing the data throughput
                                       capability.
Orthogonal Frequency Division
             Multiplexing (OFDM)
   As the data rate increases in a multipath environment, the
    interference goes from flat fading to frequency selective
    (last reflected component arrives after symbol period).
    This results in heavy degradation
   Most popular solution to compensate for ISI: equalizers
   As we move to higher data rates (i.e.> 1 Mbps), equalizer
    complexity grows to level of complexity where the
    channel changes before you can compensate for it!
   Alternate solution: Multi-carrier Modulation (MCM)
    where channel is broken up into subbands such that the
    fading over each subchannel becomes flat thus
    eliminating the problem of ISI
                            Multi-carrier Modulation


              FDMA                                           OFDM
Detailed block Diagram of OFDM
             system
OFDM provides high-speed transmissions in a frequency selective fading environment.
 OFDM is modulation method known for its capability to mitigate multipath.
 In OFDM the high speed data stream is divided into Nc narrowband data streams, Nc
corresponding to the subcarriers or subchannels.
 As a result the symbol duration is N times longer than in a single carrier system with the same
symbol rate.
Symbol duration is made longer by adding a cyclic prefix to each symbol.
By the time cyclic prefix is longer than the channel delay spread OFDM offers inter-symbol
interference (ISI) free transmission.
 Another advantage of OFDM is that it dramatically reduces equalization complexity by
enabling equalization in the frequency domain.
 OFDM, implemented with IFFT at the transmitter and FFT at the receiver, converts the
wideband signal, affected by frequency selective fading, into N narrowband flat fading signals
thus the equalization can be performed in the frequency domain by a scalar division carrier-wise
with the subcarrier related channel coefficients.
OFDM Spectral Efficiency
• The spectral efficiency of an OFDM-
(PSK/ASK) system is same as compared to
using the (PSK/ASK) system alone
• Spec eff = log 2 M bits/s/Hz
• However, you have successfully converted
an ugly channel into a channel that you can
use                                                      Rs/ 3 symbols/s

                                                      Rs symbols/s



                                              • easy to implement
                                              • Used in IEEE 802.11A
MIMO-OFDM
   MIMO-OFDM decouples the frequency-selective MIMO channel into a set of parallel
    MIMO channels with the input–output relation for the ith (i = 0, 2,…,L-1) tone,
                        yi = Hisi + ni       i = 0, 2,…, L-1
The quality of a wireless link can be described by three basic parameters,
namely
Transmission Rate
Transmission Range
Transmission Reliability.
However, with the advent of MIMO assisted OFDM systems, the above-
mentioned three parameters may be simultaneously improved.
Field tests of broadband wireless MIMO OFDM communication systems
have shown that an increased capacity, coverage and reliability is achievable
with the aid of MIMO techniques.
Conclusion
   The results obtained from different tests indicate very good performance for
    the MIMO-OFDM prototype.

   Concept is proving to be very robust in highly dispersive channels

   Cost reduction is being investigated through various methods

   Results show that at any given BER the adaptive SISO system will be
    outperformed by the adaptive MIMO system

   Other future work areas involve the improvement of MIMO processing
    complexity and practical implementation issues.
REFRENCES
[1] Ta-Sung Lee, “MIMO-OFDM for Future OFDM for Future Wireless
Communications Wireless Communications,”Seminar in ICE of NSYSU.
[2] D. Gesbert, M. Shafi, D. Shiu, P. J. Smith and A. Naguib, “From theory to practice:
An overview of MIMO space-time coded wireless systems,”IEEEJ. Select. Areas
Commun., vol. 21, no. 3, pp. 281-302, April 2003.
[3] G. J. FoschiniandM. J. Gans, “On limits of wireless communications in a fading
environment using multiple antennas,”Wireless Personal Commun., vol. 6, no. 3, pp.
311-355, 1998.
[4] S. M. Alamouti, “A simple transmit diversity technique for wireless
communications,”IEEE JSAC, vol. 16, no. 8, pp. 1451-1458, Oct. 1998.
[5] V. Tarokh, N. SeshadriandA. R. Calderbank, “Space-time codes for high data rate
wireless communication: Performance analysis and code construction,”IEEETrans.
Inform. Theory, vol. 44, no. 2, pp. 744-765, Mar. 1998.
[6] G. J. Foschini, “Layered space-time architecture for wireless communication in a
fading environment when using multiple antennas,”Bell Labs Syst. Tech. J., vol. 1, pp.
41-59, Autumn 1996.
[7] A. PaulrajandC. B. Papadias, “Space-time processing for wireless
communications,”IEEESignal Processing Mag., vol. 14, no. 11, pp. 49-83, Nov. 1997.
[8] BrankaVucetic, JinhongYuan, “Space-Time Coding,”Wiley 2003.
Thank You !!

More Related Content

What's hot

Orthogonal Frequency Division Multiplexing (OFDM)
Orthogonal Frequency Division Multiplexing (OFDM)Orthogonal Frequency Division Multiplexing (OFDM)
Orthogonal Frequency Division Multiplexing (OFDM)Gagan Randhawa
 
MIMO-OFDM SYSTEM IN RAYLEIGH FADDING CHANNEL
MIMO-OFDM SYSTEM IN RAYLEIGH FADDING CHANNELMIMO-OFDM SYSTEM IN RAYLEIGH FADDING CHANNEL
MIMO-OFDM SYSTEM IN RAYLEIGH FADDING CHANNELIJEEE
 
Mimo ofdm wireless communications with matlab
Mimo ofdm wireless communications with matlabMimo ofdm wireless communications with matlab
Mimo ofdm wireless communications with matlabntnam113
 
Orthogonal Frequency Division Multiplexing (OFDM)
Orthogonal Frequency Division Multiplexing (OFDM)Orthogonal Frequency Division Multiplexing (OFDM)
Orthogonal Frequency Division Multiplexing (OFDM)ashishsoni1505
 
Orthogonal frequency division multiplexing
Orthogonal frequency division multiplexing Orthogonal frequency division multiplexing
Orthogonal frequency division multiplexing raj4619
 
OFDMA - Orthogonal Frequency Division Multiple Access PPT by PREM KAMAL
OFDMA - Orthogonal Frequency Division Multiple Access PPT by PREM KAMALOFDMA - Orthogonal Frequency Division Multiple Access PPT by PREM KAMAL
OFDMA - Orthogonal Frequency Division Multiple Access PPT by PREM KAMALprem kamal
 
Quality of service in wireless communication
Quality of service in wireless communicationQuality of service in wireless communication
Quality of service in wireless communicationPRADEEP Cheekatla
 
Introduction to OFDM
Introduction to OFDMIntroduction to OFDM
Introduction to OFDMJohn Thomas
 
Mimo tutorial by-fuyun_ling
Mimo tutorial by-fuyun_lingMimo tutorial by-fuyun_ling
Mimo tutorial by-fuyun_lingFuyun Ling
 
OFDM (Orthogonal Frequency Division Multiplexing)
OFDM (Orthogonal Frequency Division Multiplexing)OFDM (Orthogonal Frequency Division Multiplexing)
OFDM (Orthogonal Frequency Division Multiplexing)Ameya Vijay Gokhale
 
OFDM based baseband Receiver
OFDM based baseband ReceiverOFDM based baseband Receiver
OFDM based baseband Receivernaveen sunnam
 
Report :- MIMO features In WiMAX and LTE: An Overview
Report :- MIMO features In WiMAX and LTE: An OverviewReport :- MIMO features In WiMAX and LTE: An Overview
Report :- MIMO features In WiMAX and LTE: An OverviewPrav_Kalyan
 
LTE Transmission Modes and BeamForming
LTE Transmission Modes and BeamFormingLTE Transmission Modes and BeamForming
LTE Transmission Modes and BeamFormingPraveen Kumar
 
Introduction of The wdm system
Introduction of The wdm systemIntroduction of The wdm system
Introduction of The wdm systemVanessa Shen
 

What's hot (20)

Orthogonal Frequency Division Multiplexing (OFDM)
Orthogonal Frequency Division Multiplexing (OFDM)Orthogonal Frequency Division Multiplexing (OFDM)
Orthogonal Frequency Division Multiplexing (OFDM)
 
MIMO-OFDM SYSTEM IN RAYLEIGH FADDING CHANNEL
MIMO-OFDM SYSTEM IN RAYLEIGH FADDING CHANNELMIMO-OFDM SYSTEM IN RAYLEIGH FADDING CHANNEL
MIMO-OFDM SYSTEM IN RAYLEIGH FADDING CHANNEL
 
Mimo ofdm wireless communications with matlab
Mimo ofdm wireless communications with matlabMimo ofdm wireless communications with matlab
Mimo ofdm wireless communications with matlab
 
Orthogonal Frequency Division Multiplexing (OFDM)
Orthogonal Frequency Division Multiplexing (OFDM)Orthogonal Frequency Division Multiplexing (OFDM)
Orthogonal Frequency Division Multiplexing (OFDM)
 
Orthogonal frequency division multiplexing
Orthogonal frequency division multiplexing Orthogonal frequency division multiplexing
Orthogonal frequency division multiplexing
 
OFDMA - Orthogonal Frequency Division Multiple Access PPT by PREM KAMAL
OFDMA - Orthogonal Frequency Division Multiple Access PPT by PREM KAMALOFDMA - Orthogonal Frequency Division Multiple Access PPT by PREM KAMAL
OFDMA - Orthogonal Frequency Division Multiple Access PPT by PREM KAMAL
 
Quality of service in wireless communication
Quality of service in wireless communicationQuality of service in wireless communication
Quality of service in wireless communication
 
Mimo radar(1)
Mimo radar(1)Mimo radar(1)
Mimo radar(1)
 
Introduction to OFDM
Introduction to OFDMIntroduction to OFDM
Introduction to OFDM
 
Mimo tutorial by-fuyun_ling
Mimo tutorial by-fuyun_lingMimo tutorial by-fuyun_ling
Mimo tutorial by-fuyun_ling
 
Lte mimo schemes
Lte mimo schemesLte mimo schemes
Lte mimo schemes
 
OFDM (Orthogonal Frequency Division Multiplexing)
OFDM (Orthogonal Frequency Division Multiplexing)OFDM (Orthogonal Frequency Division Multiplexing)
OFDM (Orthogonal Frequency Division Multiplexing)
 
OFDM based baseband Receiver
OFDM based baseband ReceiverOFDM based baseband Receiver
OFDM based baseband Receiver
 
Ofdm
OfdmOfdm
Ofdm
 
Mimo [new]
Mimo [new]Mimo [new]
Mimo [new]
 
orthogonal frequency division multiplexing(OFDM)
orthogonal frequency division multiplexing(OFDM)orthogonal frequency division multiplexing(OFDM)
orthogonal frequency division multiplexing(OFDM)
 
Report :- MIMO features In WiMAX and LTE: An Overview
Report :- MIMO features In WiMAX and LTE: An OverviewReport :- MIMO features In WiMAX and LTE: An Overview
Report :- MIMO features In WiMAX and LTE: An Overview
 
MIMO Testing
MIMO TestingMIMO Testing
MIMO Testing
 
LTE Transmission Modes and BeamForming
LTE Transmission Modes and BeamFormingLTE Transmission Modes and BeamForming
LTE Transmission Modes and BeamForming
 
Introduction of The wdm system
Introduction of The wdm systemIntroduction of The wdm system
Introduction of The wdm system
 

Viewers also liked

Space time coding in mimo
Space time coding in mimo Space time coding in mimo
Space time coding in mimo ILA SHARMA
 
Matlab source codes section | Download MATLAB source code freerce-codes
Matlab source codes section | Download MATLAB source code freerce-codesMatlab source codes section | Download MATLAB source code freerce-codes
Matlab source codes section | Download MATLAB source code freerce-codeshafsabanu
 
Concepto de literatura
Concepto de literaturaConcepto de literatura
Concepto de literaturagvrg
 
matlab code for channel estimation for ofdm
matlab code for channel estimation for ofdmmatlab code for channel estimation for ofdm
matlab code for channel estimation for ofdmGyana Ranjan Mati
 

Viewers also liked (9)

MIMO OFDM
MIMO OFDMMIMO OFDM
MIMO OFDM
 
Matlab code
Matlab codeMatlab code
Matlab code
 
Measuring Jitter Using Phase Noise Techniques
Measuring Jitter Using Phase Noise TechniquesMeasuring Jitter Using Phase Noise Techniques
Measuring Jitter Using Phase Noise Techniques
 
Space time coding in mimo
Space time coding in mimo Space time coding in mimo
Space time coding in mimo
 
Mimo dr. morsi
Mimo  dr. morsiMimo  dr. morsi
Mimo dr. morsi
 
Matlab source codes section | Download MATLAB source code freerce-codes
Matlab source codes section | Download MATLAB source code freerce-codesMatlab source codes section | Download MATLAB source code freerce-codes
Matlab source codes section | Download MATLAB source code freerce-codes
 
4g lte matlab
4g lte matlab4g lte matlab
4g lte matlab
 
Concepto de literatura
Concepto de literaturaConcepto de literatura
Concepto de literatura
 
matlab code for channel estimation for ofdm
matlab code for channel estimation for ofdmmatlab code for channel estimation for ofdm
matlab code for channel estimation for ofdm
 

Similar to Mimoofdm based system

Iaetsd iterative mmse-pic detection algorithm for
Iaetsd iterative mmse-pic detection  algorithm forIaetsd iterative mmse-pic detection  algorithm for
Iaetsd iterative mmse-pic detection algorithm forIaetsd Iaetsd
 
Paper id 252014129
Paper id 252014129Paper id 252014129
Paper id 252014129IJRAT
 
Tlen 5510 Term Project
Tlen 5510 Term ProjectTlen 5510 Term Project
Tlen 5510 Term ProjectMithul Thanu
 
study paper on MIMO_OFDM.pdf
study paper on MIMO_OFDM.pdfstudy paper on MIMO_OFDM.pdf
study paper on MIMO_OFDM.pdfMahendraBoopathi3
 
[Year 2012-13] Mimo technology
[Year 2012-13] Mimo technology[Year 2012-13] Mimo technology
[Year 2012-13] Mimo technologySaurabh N. Mehta
 
Iaetsd adaptive modulation in mimo ofdm system for4 g
Iaetsd adaptive modulation in mimo ofdm system for4 gIaetsd adaptive modulation in mimo ofdm system for4 g
Iaetsd adaptive modulation in mimo ofdm system for4 gIaetsd Iaetsd
 
Channel Estimation Techniques in MIMO-OFDM LTE SystemsCauses and Effects of C...
Channel Estimation Techniques in MIMO-OFDM LTE SystemsCauses and Effects of C...Channel Estimation Techniques in MIMO-OFDM LTE SystemsCauses and Effects of C...
Channel Estimation Techniques in MIMO-OFDM LTE SystemsCauses and Effects of C...IJERA Editor
 
IMPLEMENTATION OF LINEAR DETECTION TECHNIQUES TO OVERCOME CHANNEL EFFECTS IN ...
IMPLEMENTATION OF LINEAR DETECTION TECHNIQUES TO OVERCOME CHANNEL EFFECTS IN ...IMPLEMENTATION OF LINEAR DETECTION TECHNIQUES TO OVERCOME CHANNEL EFFECTS IN ...
IMPLEMENTATION OF LINEAR DETECTION TECHNIQUES TO OVERCOME CHANNEL EFFECTS IN ...IJCI JOURNAL
 
Techniques for Improving BER and SNR in MIMO Antenna for Optimum Performance
Techniques for Improving BER and SNR in MIMO Antenna for Optimum PerformanceTechniques for Improving BER and SNR in MIMO Antenna for Optimum Performance
Techniques for Improving BER and SNR in MIMO Antenna for Optimum PerformanceIJMTST Journal
 
Ijetae 0913 79
Ijetae 0913 79Ijetae 0913 79
Ijetae 0913 79Usman Ali
 
Spectrum Is A Limied And Valuable Resource Essay
Spectrum Is A Limied And Valuable Resource EssaySpectrum Is A Limied And Valuable Resource Essay
Spectrum Is A Limied And Valuable Resource EssayErin Rivera
 
Iaetsd a review on performance analysis of mimo-ofdm system based on dwt and ...
Iaetsd a review on performance analysis of mimo-ofdm system based on dwt and ...Iaetsd a review on performance analysis of mimo-ofdm system based on dwt and ...
Iaetsd a review on performance analysis of mimo-ofdm system based on dwt and ...Iaetsd Iaetsd
 
MIMO channels: optimizing throughput and reducing outage by increasing multip...
MIMO channels: optimizing throughput and reducing outage by increasing multip...MIMO channels: optimizing throughput and reducing outage by increasing multip...
MIMO channels: optimizing throughput and reducing outage by increasing multip...TELKOMNIKA JOURNAL
 
VLSI Implementation of OFDM Transceiver for 802.11n systems
VLSI Implementation of OFDM Transceiver for 802.11n systemsVLSI Implementation of OFDM Transceiver for 802.11n systems
VLSI Implementation of OFDM Transceiver for 802.11n systemsIJERA Editor
 
Linear Transmit-Receive Strategies for Multi-User MIMO Wireless Communication
Linear Transmit-Receive Strategies for Multi-User MIMO Wireless CommunicationLinear Transmit-Receive Strategies for Multi-User MIMO Wireless Communication
Linear Transmit-Receive Strategies for Multi-User MIMO Wireless CommunicationIRJET Journal
 
Error Control and performance Analysis of MIMO-OFDM Over Fading Channels
Error Control and performance Analysis of MIMO-OFDM Over Fading ChannelsError Control and performance Analysis of MIMO-OFDM Over Fading Channels
Error Control and performance Analysis of MIMO-OFDM Over Fading ChannelsIOSR Journals
 
YAWER.....PPT.pptx
YAWER.....PPT.pptxYAWER.....PPT.pptx
YAWER.....PPT.pptxYAWER ABBAS
 

Similar to Mimoofdm based system (20)

Efficient stbc for the data rate of mimo ofdma
Efficient stbc for the data rate of mimo ofdmaEfficient stbc for the data rate of mimo ofdma
Efficient stbc for the data rate of mimo ofdma
 
Iaetsd iterative mmse-pic detection algorithm for
Iaetsd iterative mmse-pic detection  algorithm forIaetsd iterative mmse-pic detection  algorithm for
Iaetsd iterative mmse-pic detection algorithm for
 
Paper id 252014129
Paper id 252014129Paper id 252014129
Paper id 252014129
 
Tlen 5510 Term Project
Tlen 5510 Term ProjectTlen 5510 Term Project
Tlen 5510 Term Project
 
study paper on MIMO_OFDM.pdf
study paper on MIMO_OFDM.pdfstudy paper on MIMO_OFDM.pdf
study paper on MIMO_OFDM.pdf
 
[Year 2012-13] Mimo technology
[Year 2012-13] Mimo technology[Year 2012-13] Mimo technology
[Year 2012-13] Mimo technology
 
Iaetsd adaptive modulation in mimo ofdm system for4 g
Iaetsd adaptive modulation in mimo ofdm system for4 gIaetsd adaptive modulation in mimo ofdm system for4 g
Iaetsd adaptive modulation in mimo ofdm system for4 g
 
Channel Estimation Techniques in MIMO-OFDM LTE SystemsCauses and Effects of C...
Channel Estimation Techniques in MIMO-OFDM LTE SystemsCauses and Effects of C...Channel Estimation Techniques in MIMO-OFDM LTE SystemsCauses and Effects of C...
Channel Estimation Techniques in MIMO-OFDM LTE SystemsCauses and Effects of C...
 
IMPLEMENTATION OF LINEAR DETECTION TECHNIQUES TO OVERCOME CHANNEL EFFECTS IN ...
IMPLEMENTATION OF LINEAR DETECTION TECHNIQUES TO OVERCOME CHANNEL EFFECTS IN ...IMPLEMENTATION OF LINEAR DETECTION TECHNIQUES TO OVERCOME CHANNEL EFFECTS IN ...
IMPLEMENTATION OF LINEAR DETECTION TECHNIQUES TO OVERCOME CHANNEL EFFECTS IN ...
 
Techniques for Improving BER and SNR in MIMO Antenna for Optimum Performance
Techniques for Improving BER and SNR in MIMO Antenna for Optimum PerformanceTechniques for Improving BER and SNR in MIMO Antenna for Optimum Performance
Techniques for Improving BER and SNR in MIMO Antenna for Optimum Performance
 
Ijetae 0913 79
Ijetae 0913 79Ijetae 0913 79
Ijetae 0913 79
 
E0532630
E0532630E0532630
E0532630
 
Spectrum Is A Limied And Valuable Resource Essay
Spectrum Is A Limied And Valuable Resource EssaySpectrum Is A Limied And Valuable Resource Essay
Spectrum Is A Limied And Valuable Resource Essay
 
Dj25659663
Dj25659663Dj25659663
Dj25659663
 
Iaetsd a review on performance analysis of mimo-ofdm system based on dwt and ...
Iaetsd a review on performance analysis of mimo-ofdm system based on dwt and ...Iaetsd a review on performance analysis of mimo-ofdm system based on dwt and ...
Iaetsd a review on performance analysis of mimo-ofdm system based on dwt and ...
 
MIMO channels: optimizing throughput and reducing outage by increasing multip...
MIMO channels: optimizing throughput and reducing outage by increasing multip...MIMO channels: optimizing throughput and reducing outage by increasing multip...
MIMO channels: optimizing throughput and reducing outage by increasing multip...
 
VLSI Implementation of OFDM Transceiver for 802.11n systems
VLSI Implementation of OFDM Transceiver for 802.11n systemsVLSI Implementation of OFDM Transceiver for 802.11n systems
VLSI Implementation of OFDM Transceiver for 802.11n systems
 
Linear Transmit-Receive Strategies for Multi-User MIMO Wireless Communication
Linear Transmit-Receive Strategies for Multi-User MIMO Wireless CommunicationLinear Transmit-Receive Strategies for Multi-User MIMO Wireless Communication
Linear Transmit-Receive Strategies for Multi-User MIMO Wireless Communication
 
Error Control and performance Analysis of MIMO-OFDM Over Fading Channels
Error Control and performance Analysis of MIMO-OFDM Over Fading ChannelsError Control and performance Analysis of MIMO-OFDM Over Fading Channels
Error Control and performance Analysis of MIMO-OFDM Over Fading Channels
 
YAWER.....PPT.pptx
YAWER.....PPT.pptxYAWER.....PPT.pptx
YAWER.....PPT.pptx
 

Mimoofdm based system

  • 1. BASIC PERSPECTIVE OF MIMO-OFDM BASED SYSTEM Rajat Dak (b.tech) Department of Electronics and Communication Engineering Pacific Institute Of Technology, Udaipur, Rajasthan, India
  • 2. Significance & Introduction of MIMO-OFDM  Ever-increasing demands of multimedia services and the growth of Internet related contents lead to increasing interest to high speed wireless communications  Challenges: - to improve spectral efficiency - efficient bandwidth utilization - high speed processing network  Solution: MIMO-OFDM
  • 3. Aspirations (Mathematical) of a System Designer Achieve High data rate “Channel Capacity (C)” Quality Minimize Probability of Error (Pe) Minimize complexity/cost of implementation of proposed System Minimize transmission power required (translates into SNR) Minimize Bandwidth (frequency spectrum) Used Real-life Issues
  • 4. MIMO Concept  Multiple i/p multiple o/p antenna array  Used to increase data rates, improve capacity and BER (bit error rate) of the system Diagram of a MIMO wireless transmission  Typically used with ofdm so as system. to suit best needs in next generation comm. i.e. “4G”
  • 5.  MIMO technology leverages multipath behavior by using multiple, “smart” transmitters and receivers with an added “spatial” dimension to dramatically increase performance and range.  MIMO allows multiple antennas to send and receive multiple spatial streams at the same time. A wireless adapter with 3 antennas may have a speed of 600mbps while an adapter with 2 antennas has a speed of 300mbps. MIMO makes antennas work smarter by enabling them to combine data streams arriving from different paths and at different times to effectively increase receiver signal-capturing power.  If there are more antennas than spatial streams, the additional antennas can add receiver diversity and increase range.
  • 6. Principle of Diversity The principle of diversity is to provide the receiver with multiple versions of the same signal. The probability that they will all be affected at the same time is considerably reduced. Diversity helps to stabilize a link and improves performance, reducing error rate. Different diversity modes are available and provide a number of advantages: Time diversity:   Using time diversity, a message may be transmitted at different times, e.g. using different timeslots and channel coding. Frequency diversity:   This form of diversity uses different frequencies. It may be in the form of using different channels, or technologies such as spread spectrum / OFDM. Space diversity:   Space diversity used in the broadest sense of the definition is used as the basis for MIMO. It uses antennas located in different positions to take advantage of the different radio paths that exist in a typical terrestrial environment.
  • 7. MIMO Design Criterion  MIMO Systems can provide two types of gain Spatial Multiplexing Gain Diversity Gain  Maximize transmission rate  Minimize Pe (conservative (optimistic approach) approach)  Use rich scattering/fading to  Go for Reliability / QoS etc your advantage  Combat fading
  • 8. Spatial Diversity:   Spatial diversity used refers to transmit and receive diversity. The methodology is used to provide improvements in the signal to noise ratio and they are characterized by improving the reliability of the system with respect to the various forms of fading. Spatial Multiplexing:   This form of MIMO is used to provide additional data capacity by utilizing the different paths to carry additional traffic, i.e. increasing the data throughput capability.
  • 9. Orthogonal Frequency Division Multiplexing (OFDM)  As the data rate increases in a multipath environment, the interference goes from flat fading to frequency selective (last reflected component arrives after symbol period). This results in heavy degradation  Most popular solution to compensate for ISI: equalizers  As we move to higher data rates (i.e.> 1 Mbps), equalizer complexity grows to level of complexity where the channel changes before you can compensate for it!  Alternate solution: Multi-carrier Modulation (MCM) where channel is broken up into subbands such that the fading over each subchannel becomes flat thus eliminating the problem of ISI Multi-carrier Modulation FDMA OFDM
  • 10. Detailed block Diagram of OFDM system
  • 11. OFDM provides high-speed transmissions in a frequency selective fading environment.  OFDM is modulation method known for its capability to mitigate multipath.  In OFDM the high speed data stream is divided into Nc narrowband data streams, Nc corresponding to the subcarriers or subchannels.  As a result the symbol duration is N times longer than in a single carrier system with the same symbol rate. Symbol duration is made longer by adding a cyclic prefix to each symbol. By the time cyclic prefix is longer than the channel delay spread OFDM offers inter-symbol interference (ISI) free transmission.  Another advantage of OFDM is that it dramatically reduces equalization complexity by enabling equalization in the frequency domain.  OFDM, implemented with IFFT at the transmitter and FFT at the receiver, converts the wideband signal, affected by frequency selective fading, into N narrowband flat fading signals thus the equalization can be performed in the frequency domain by a scalar division carrier-wise with the subcarrier related channel coefficients.
  • 12. OFDM Spectral Efficiency • The spectral efficiency of an OFDM- (PSK/ASK) system is same as compared to using the (PSK/ASK) system alone • Spec eff = log 2 M bits/s/Hz • However, you have successfully converted an ugly channel into a channel that you can use Rs/ 3 symbols/s Rs symbols/s • easy to implement • Used in IEEE 802.11A
  • 13. MIMO-OFDM  MIMO-OFDM decouples the frequency-selective MIMO channel into a set of parallel MIMO channels with the input–output relation for the ith (i = 0, 2,…,L-1) tone, yi = Hisi + ni i = 0, 2,…, L-1
  • 14. The quality of a wireless link can be described by three basic parameters, namely Transmission Rate Transmission Range Transmission Reliability. However, with the advent of MIMO assisted OFDM systems, the above- mentioned three parameters may be simultaneously improved. Field tests of broadband wireless MIMO OFDM communication systems have shown that an increased capacity, coverage and reliability is achievable with the aid of MIMO techniques.
  • 15. Conclusion  The results obtained from different tests indicate very good performance for the MIMO-OFDM prototype.  Concept is proving to be very robust in highly dispersive channels  Cost reduction is being investigated through various methods  Results show that at any given BER the adaptive SISO system will be outperformed by the adaptive MIMO system  Other future work areas involve the improvement of MIMO processing complexity and practical implementation issues.
  • 16. REFRENCES [1] Ta-Sung Lee, “MIMO-OFDM for Future OFDM for Future Wireless Communications Wireless Communications,”Seminar in ICE of NSYSU. [2] D. Gesbert, M. Shafi, D. Shiu, P. J. Smith and A. Naguib, “From theory to practice: An overview of MIMO space-time coded wireless systems,”IEEEJ. Select. Areas Commun., vol. 21, no. 3, pp. 281-302, April 2003. [3] G. J. FoschiniandM. J. Gans, “On limits of wireless communications in a fading environment using multiple antennas,”Wireless Personal Commun., vol. 6, no. 3, pp. 311-355, 1998. [4] S. M. Alamouti, “A simple transmit diversity technique for wireless communications,”IEEE JSAC, vol. 16, no. 8, pp. 1451-1458, Oct. 1998. [5] V. Tarokh, N. SeshadriandA. R. Calderbank, “Space-time codes for high data rate wireless communication: Performance analysis and code construction,”IEEETrans. Inform. Theory, vol. 44, no. 2, pp. 744-765, Mar. 1998. [6] G. J. Foschini, “Layered space-time architecture for wireless communication in a fading environment when using multiple antennas,”Bell Labs Syst. Tech. J., vol. 1, pp. 41-59, Autumn 1996. [7] A. PaulrajandC. B. Papadias, “Space-time processing for wireless communications,”IEEESignal Processing Mag., vol. 14, no. 11, pp. 49-83, Nov. 1997. [8] BrankaVucetic, JinhongYuan, “Space-Time Coding,”Wiley 2003.