SlideShare une entreprise Scribd logo
V-BLAST

          R . Rahul Sekhar
THE BIG QUESTION
 With limited power, scarce and
 highly precious bandwidth, how to
 increase the data rate?
BLAST ARCHITECTURE
    Rich-scattering wireless channel is capable of enormous theoretical
     capacities if the multipath is properly exploited.
    A novel method used for this is using BLAST architecture
    Three specific implementations of BLAST, depending on the type of
     coding employed:
1.    Diagonal-BLAST (D-BLAST)
2.    Vertical-BLAST (V-BLAST)
3.    Turbo-BLAST
WHY BLAST?
   Unlike code division or other spread-spectrum multiple access
    techniques, the total channel bandwidth utilized in a BLAST system
    is only a small fraction in excess of the symbol rate.
   Unlike FDMA, each transmitted signal occupies the entire system
    bandwidth.
   Finally, unlike TDMA, the entire system bandwidth is used
    simultaneously by all of the transmitters all of the time.
   Taken together, these differences together are precisely what give
    BLAST the potential to realize higher spectral efficiencies than the
    multiple-access techniques.
   An essential feature of BLAST is that no explicit orthogonalization of
    the transmitted signals is imposed by the transmit structure at all.
   Instead, the propagation environment itself, is exploited to achieve
    the signal decorrelation necessary to separate the co-channel
    signals.
D-BLAST
 It utilizes multi-element antenna arrays at both
  transmitter and receiver
 Diagonally layered coding structure in which code
  blocks are dispersed across diagonals in space
  time
 In a Rayleigh scattering environment, this structure
  leads to theoretical rates which grow linearly with
  the number of antennas(~90% of Shannon
  capacity)
DIAGONAL LAYERING
D BLAST
V-BLAST
                   Difference from D-Blast?
   V-BLAST architecture is a simplified version of D-BLAST, that tries to
    reduce its computational complexity.
   The layering is horizontal, meaning that all the symbols of a certain
    stream are transmitted through the same antenna (one stream per
    antenna).
   It eliminates the space time wastage, but loses the transmit diversity,
    since each stream is “tied” to its antenna.
APPLICATIONS
   V-BLAST is an essential part of MIMO technology.
   As such it is an integral part of modern wireless
    communication standards such as IEEE 802.11n (Wi-Fi), 4G,
    3GPP Long Term Evolution, WiMAX and HSPA+.
SYSTEM OVERVIEW
   A single data stream is demultiplexed into M sub streams.
   Each sub stream is then encoded into symbols and fed to its
    respective transmitter.
   Transmitters 1 − M operate co-channel at symbol rate 1/ T
    symbols/sec.
   Each transmitter is itself an ordinary QAM transmitter.
   The same constellation is used for each substream.
   Receivers 1 − N are, individually, conventional QAM receivers.
   These receivers also operate co-channel, each receiving the signals
    radiated from all M transmit antennas.
   Flat fading is assumed.
   The matrix channel transfer function is HN×M, where hi j is the
    (complex) transfer function from transmitter j to receiver i, and M ≤ N.
V-BLAST DETECTION
   Let a = (a1 , a2 , . . . ,aM ) T denote the vector of transmit symbols.
   Then the corresponding received N vector is
                                  r1 = Ha + ν
    where ν is a noise vector.
   Each substream in turn is considered to be the desired signal, and
    the remainder are considered as "interferers".(Nulling)
   Nulling is performed by linearly weighting the received signals so as
    to satisfy some performance-related criterion, such as minimum
    mean-squared error (MMSE) or zero-forcing (ZF).
   Zero-forcing Nulling can be performed by choosing weight vectors wi
    , i = 1 , 2 , . . . , M, such that
                        wi T(H) j = δi j
    where (H) j is the jth column of H, and δ is the Kronecker delta. Thus,
    the decision statistic for the ith sub stream is yi = wi T ri
project the
received signal y
onto the
subspace
orthogonal to the
one spanned by
h1, h2.......hnt
   Superior performance is obtained if nonlinear techniques are used.
   Use symbol cancellation as well as linear nulling to perform
    detection.
   Interference from already-detected components of a is subtracted out
    from the received signal vector, resulting in modified received vector
    in which, effectively, fewer interferers are present.
1.    Order determination, in which the N, received substreams are to
     be detected, in accordance with the post detection signal-to-noise
     ratios of the individual sub streams.
2.   Detection of the sub stream, starting with the largest signal-to-
     noise ratio.
3.    Signal cancellation, wherein the effect of the detected sub stream
     is removed from subsequent sub streams.
4.    Repetition of steps 1 through 3 until all the N, received sub
     streams have been individually detected
(V-BLAST) DECODING

   Initialization:                    Recursion:

     i     1
                                              wki         (Gi ) ki
     G1    H
                                                                  H
                              2               y ki       wki          ri
     k1   arg min (G1 ) j
               j
                                              ˆ
                                              a ki       Q ( y ki )
                                              ri   1     ri       ˆ
                                                                  a ki ( H ) ki
    G     H        (H H H ) 1 H H
                                              Gi     1   H ki
     G    (H H H         2
                             I) 1H H                                              2
                                              ki     1    arg min (Gi 1 ) j
                                                              j   k1ki

                                               i         i 1
REFERENCES
   V-BLAST: An Architecture for Realizing Very High Data Rates Over
    the Rich-Scattering Wireless Channel
    P. W. Wolniansky, G. J. Foschini, G. D. Golden, R. A. Valenzuela
   Modern wireless communication
    Simon Haykin , Michael Moher
   BLAST Architectures
    Eduardo Zacar´ıas B.
   Fundamentals of wireless communication
     David Tse , Pramod
   Performance Analysis of V-BLAST Detectors for the MIMO channel
     Fenghua Li

Contenu connexe

Tendances

cellular concepts in wireless communication
cellular concepts in wireless communicationcellular concepts in wireless communication
cellular concepts in wireless communication
asadkhan1327
 
Chap 5 (small scale fading)
Chap 5 (small scale fading)Chap 5 (small scale fading)
Chap 5 (small scale fading)
asadkhan1327
 
Parameters of multipath channel
Parameters of multipath channelParameters of multipath channel
Parameters of multipath channel
Naveen Kumar
 

Tendances (20)

Attenuators and phase shifters 24
Attenuators and phase shifters 24Attenuators and phase shifters 24
Attenuators and phase shifters 24
 
Massive mimo
Massive mimoMassive mimo
Massive mimo
 
Dsss final
Dsss finalDsss final
Dsss final
 
OFDM
OFDMOFDM
OFDM
 
Precoding
PrecodingPrecoding
Precoding
 
cellular concepts in wireless communication
cellular concepts in wireless communicationcellular concepts in wireless communication
cellular concepts in wireless communication
 
4.5 equalizers and its types
4.5   equalizers and its types4.5   equalizers and its types
4.5 equalizers and its types
 
Antenna Parameters Part 1
Antenna Parameters Part 1Antenna Parameters Part 1
Antenna Parameters Part 1
 
spread spectrum
spread spectrumspread spectrum
spread spectrum
 
Chap 5 (small scale fading)
Chap 5 (small scale fading)Chap 5 (small scale fading)
Chap 5 (small scale fading)
 
Mimo
MimoMimo
Mimo
 
Orthogonal Frequency Division Multiplexing (OFDM)
Orthogonal Frequency Division Multiplexing (OFDM)Orthogonal Frequency Division Multiplexing (OFDM)
Orthogonal Frequency Division Multiplexing (OFDM)
 
Millimeter Wave mobile communications for 5g cellular
Millimeter Wave mobile communications for 5g cellularMillimeter Wave mobile communications for 5g cellular
Millimeter Wave mobile communications for 5g cellular
 
MIMO.ppt (2) 2
MIMO.ppt (2) 2MIMO.ppt (2) 2
MIMO.ppt (2) 2
 
MIMO OFDM
MIMO OFDMMIMO OFDM
MIMO OFDM
 
Mimo
MimoMimo
Mimo
 
Turbo codes.ppt
Turbo codes.pptTurbo codes.ppt
Turbo codes.ppt
 
Small scale fading
Small scale fadingSmall scale fading
Small scale fading
 
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
 
Parameters of multipath channel
Parameters of multipath channelParameters of multipath channel
Parameters of multipath channel
 

En vedette

Mimo ofdm wireless communications with matlab
Mimo ofdm wireless communications with matlabMimo ofdm wireless communications with matlab
Mimo ofdm wireless communications with matlab
ntnam113
 
Space time coding in mimo
Space time coding in mimo Space time coding in mimo
Space time coding in mimo
ILA SHARMA
 
Seminar report guidelines1
Seminar report guidelines1Seminar report guidelines1
Seminar report guidelines1
Shikhar Patwari
 
Wi Vi technology
Wi Vi technology Wi Vi technology
Wi Vi technology
Liju Thomas
 

En vedette (17)

BLAST
BLASTBLAST
BLAST
 
BLAST
BLASTBLAST
BLAST
 
blast bioinformatics
blast bioinformaticsblast bioinformatics
blast bioinformatics
 
Blast
BlastBlast
Blast
 
Mimo ofdm wireless communications with matlab
Mimo ofdm wireless communications with matlabMimo ofdm wireless communications with matlab
Mimo ofdm wireless communications with matlab
 
It's all about Apps, VON, May 2006
It's all about Apps, VON, May 2006It's all about Apps, VON, May 2006
It's all about Apps, VON, May 2006
 
Space time coding in mimo
Space time coding in mimo Space time coding in mimo
Space time coding in mimo
 
Seminar report
Seminar reportSeminar report
Seminar report
 
combat fading in wireless
combat fading in wirelesscombat fading in wireless
combat fading in wireless
 
BLAST(Basic Local Alignment Tool)
BLAST(Basic Local Alignment Tool)BLAST(Basic Local Alignment Tool)
BLAST(Basic Local Alignment Tool)
 
Presentation on bipolar junction transistor
Presentation on bipolar junction transistorPresentation on bipolar junction transistor
Presentation on bipolar junction transistor
 
Seminar report guidelines1
Seminar report guidelines1Seminar report guidelines1
Seminar report guidelines1
 
What is Cognitive Radio?
What is Cognitive Radio? What is Cognitive Radio?
What is Cognitive Radio?
 
Linear block coding
Linear block codingLinear block coding
Linear block coding
 
Cognitive Radio
Cognitive RadioCognitive Radio
Cognitive Radio
 
Wimax
WimaxWimax
Wimax
 
Wi Vi technology
Wi Vi technology Wi Vi technology
Wi Vi technology
 

Similaire à Vblast

Performance of spread spectrum system
Performance of spread spectrum systemPerformance of spread spectrum system
Performance of spread spectrum system
Nanhen Verma
 
Chapter7 circuits
Chapter7 circuitsChapter7 circuits
Chapter7 circuits
Vin Voro
 
Class06 transmission line_basics
Class06 transmission line_basicsClass06 transmission line_basics
Class06 transmission line_basics
bhaavan22
 

Similaire à Vblast (20)

Ofdm
OfdmOfdm
Ofdm
 
Iy2415661571
Iy2415661571Iy2415661571
Iy2415661571
 
Bit Error Rate Performance of MIMO Spatial Multiplexing with MPSK Modulation ...
Bit Error Rate Performance of MIMO Spatial Multiplexing with MPSK Modulation ...Bit Error Rate Performance of MIMO Spatial Multiplexing with MPSK Modulation ...
Bit Error Rate Performance of MIMO Spatial Multiplexing with MPSK Modulation ...
 
UNIT5_1.pdf
UNIT5_1.pdfUNIT5_1.pdf
UNIT5_1.pdf
 
OFDM Basics.ppt
OFDM Basics.pptOFDM Basics.ppt
OFDM Basics.ppt
 
A Review on Image Denoising using Wavelet Transform
A Review on Image Denoising using Wavelet TransformA Review on Image Denoising using Wavelet Transform
A Review on Image Denoising using Wavelet Transform
 
Multi-Carrier Transmission over Mobile Radio Channels.ppt
Multi-Carrier Transmission over Mobile Radio Channels.pptMulti-Carrier Transmission over Mobile Radio Channels.ppt
Multi-Carrier Transmission over Mobile Radio Channels.ppt
 
Performance of spread spectrum system
Performance of spread spectrum systemPerformance of spread spectrum system
Performance of spread spectrum system
 
Neuron-computer interface in Dynamic-Clamp experiments
Neuron-computer interface in Dynamic-Clamp experimentsNeuron-computer interface in Dynamic-Clamp experiments
Neuron-computer interface in Dynamic-Clamp experiments
 
Microsoft PowerPoint - Spread Spectrum.pptx.pdf
Microsoft PowerPoint - Spread Spectrum.pptx.pdfMicrosoft PowerPoint - Spread Spectrum.pptx.pdf
Microsoft PowerPoint - Spread Spectrum.pptx.pdf
 
Introduction to Channel Capacity | DCNIT-LDTalks-1
Introduction to Channel Capacity | DCNIT-LDTalks-1Introduction to Channel Capacity | DCNIT-LDTalks-1
Introduction to Channel Capacity | DCNIT-LDTalks-1
 
Performance Analysis of Various Symbol Detection Techniques in Wireless MIMO ...
Performance Analysis of Various Symbol Detection Techniques in Wireless MIMO ...Performance Analysis of Various Symbol Detection Techniques in Wireless MIMO ...
Performance Analysis of Various Symbol Detection Techniques in Wireless MIMO ...
 
Performance Analysis of Various Symbol Detection Techniques in Wireless MIMO ...
Performance Analysis of Various Symbol Detection Techniques in Wireless MIMO ...Performance Analysis of Various Symbol Detection Techniques in Wireless MIMO ...
Performance Analysis of Various Symbol Detection Techniques in Wireless MIMO ...
 
Performance Analysis of Various Symbol Detection Techniques in Wireless MIMO ...
Performance Analysis of Various Symbol Detection Techniques in Wireless MIMO ...Performance Analysis of Various Symbol Detection Techniques in Wireless MIMO ...
Performance Analysis of Various Symbol Detection Techniques in Wireless MIMO ...
 
Chapter7 circuits
Chapter7 circuitsChapter7 circuits
Chapter7 circuits
 
Popular Interview Wireless Question with Answer
Popular Interview Wireless Question with AnswerPopular Interview Wireless Question with Answer
Popular Interview Wireless Question with Answer
 
Gprs
GprsGprs
Gprs
 
Synthesis of Band-Limited Orthogonal Signals for Multichannel Data Transmission
Synthesis of Band-Limited Orthogonal Signals for Multichannel Data TransmissionSynthesis of Band-Limited Orthogonal Signals for Multichannel Data Transmission
Synthesis of Band-Limited Orthogonal Signals for Multichannel Data Transmission
 
Unit 5.pdf
Unit 5.pdfUnit 5.pdf
Unit 5.pdf
 
Class06 transmission line_basics
Class06 transmission line_basicsClass06 transmission line_basics
Class06 transmission line_basics
 

Dernier

Structuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessStructuring Teams and Portfolios for Success
Structuring Teams and Portfolios for Success
UXDXConf
 

Dernier (20)

JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptxWSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
 
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomSalesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
 
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi IbrahimzadeFree and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
 
Connecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAKConnecting the Dots in Product Design at KAYAK
Connecting the Dots in Product Design at KAYAK
 
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
 
Strategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering TeamsStrategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering Teams
 
Intro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераIntro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджера
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Structuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessStructuring Teams and Portfolios for Success
Structuring Teams and Portfolios for Success
 
Motion for AI: Creating Empathy in Technology
Motion for AI: Creating Empathy in TechnologyMotion for AI: Creating Empathy in Technology
Motion for AI: Creating Empathy in Technology
 
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
Exploring UiPath Orchestrator API: updates and limits in 2024 🚀
 
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxUnpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
 
Transforming The New York Times: Empowering Evolution through UX
Transforming The New York Times: Empowering Evolution through UXTransforming The New York Times: Empowering Evolution through UX
Transforming The New York Times: Empowering Evolution through UX
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
PLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. StartupsPLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. Startups
 
Server-Driven User Interface (SDUI) at Priceline
Server-Driven User Interface (SDUI) at PricelineServer-Driven User Interface (SDUI) at Priceline
Server-Driven User Interface (SDUI) at Priceline
 
UiPath Test Automation using UiPath Test Suite series, part 2
UiPath Test Automation using UiPath Test Suite series, part 2UiPath Test Automation using UiPath Test Suite series, part 2
UiPath Test Automation using UiPath Test Suite series, part 2
 
In-Depth Performance Testing Guide for IT Professionals
In-Depth Performance Testing Guide for IT ProfessionalsIn-Depth Performance Testing Guide for IT Professionals
In-Depth Performance Testing Guide for IT Professionals
 

Vblast

  • 1. V-BLAST R . Rahul Sekhar
  • 2. THE BIG QUESTION With limited power, scarce and highly precious bandwidth, how to increase the data rate?
  • 3. BLAST ARCHITECTURE  Rich-scattering wireless channel is capable of enormous theoretical capacities if the multipath is properly exploited.  A novel method used for this is using BLAST architecture  Three specific implementations of BLAST, depending on the type of coding employed: 1. Diagonal-BLAST (D-BLAST) 2. Vertical-BLAST (V-BLAST) 3. Turbo-BLAST
  • 4. WHY BLAST?  Unlike code division or other spread-spectrum multiple access techniques, the total channel bandwidth utilized in a BLAST system is only a small fraction in excess of the symbol rate.  Unlike FDMA, each transmitted signal occupies the entire system bandwidth.  Finally, unlike TDMA, the entire system bandwidth is used simultaneously by all of the transmitters all of the time.  Taken together, these differences together are precisely what give BLAST the potential to realize higher spectral efficiencies than the multiple-access techniques.  An essential feature of BLAST is that no explicit orthogonalization of the transmitted signals is imposed by the transmit structure at all.  Instead, the propagation environment itself, is exploited to achieve the signal decorrelation necessary to separate the co-channel signals.
  • 5. D-BLAST  It utilizes multi-element antenna arrays at both transmitter and receiver  Diagonally layered coding structure in which code blocks are dispersed across diagonals in space time  In a Rayleigh scattering environment, this structure leads to theoretical rates which grow linearly with the number of antennas(~90% of Shannon capacity)
  • 8. V-BLAST Difference from D-Blast?  V-BLAST architecture is a simplified version of D-BLAST, that tries to reduce its computational complexity.  The layering is horizontal, meaning that all the symbols of a certain stream are transmitted through the same antenna (one stream per antenna).  It eliminates the space time wastage, but loses the transmit diversity, since each stream is “tied” to its antenna.
  • 9. APPLICATIONS  V-BLAST is an essential part of MIMO technology.  As such it is an integral part of modern wireless communication standards such as IEEE 802.11n (Wi-Fi), 4G, 3GPP Long Term Evolution, WiMAX and HSPA+.
  • 10. SYSTEM OVERVIEW  A single data stream is demultiplexed into M sub streams.  Each sub stream is then encoded into symbols and fed to its respective transmitter.  Transmitters 1 − M operate co-channel at symbol rate 1/ T symbols/sec.  Each transmitter is itself an ordinary QAM transmitter.  The same constellation is used for each substream.
  • 11. Receivers 1 − N are, individually, conventional QAM receivers.  These receivers also operate co-channel, each receiving the signals radiated from all M transmit antennas.  Flat fading is assumed.  The matrix channel transfer function is HN×M, where hi j is the (complex) transfer function from transmitter j to receiver i, and M ≤ N.
  • 12.
  • 13. V-BLAST DETECTION  Let a = (a1 , a2 , . . . ,aM ) T denote the vector of transmit symbols.  Then the corresponding received N vector is r1 = Ha + ν where ν is a noise vector.  Each substream in turn is considered to be the desired signal, and the remainder are considered as "interferers".(Nulling)  Nulling is performed by linearly weighting the received signals so as to satisfy some performance-related criterion, such as minimum mean-squared error (MMSE) or zero-forcing (ZF).  Zero-forcing Nulling can be performed by choosing weight vectors wi , i = 1 , 2 , . . . , M, such that wi T(H) j = δi j  where (H) j is the jth column of H, and δ is the Kronecker delta. Thus, the decision statistic for the ith sub stream is yi = wi T ri
  • 14. project the received signal y onto the subspace orthogonal to the one spanned by h1, h2.......hnt
  • 15. Superior performance is obtained if nonlinear techniques are used.  Use symbol cancellation as well as linear nulling to perform detection.  Interference from already-detected components of a is subtracted out from the received signal vector, resulting in modified received vector in which, effectively, fewer interferers are present.
  • 16. 1. Order determination, in which the N, received substreams are to be detected, in accordance with the post detection signal-to-noise ratios of the individual sub streams. 2. Detection of the sub stream, starting with the largest signal-to- noise ratio. 3. Signal cancellation, wherein the effect of the detected sub stream is removed from subsequent sub streams. 4. Repetition of steps 1 through 3 until all the N, received sub streams have been individually detected
  • 17.
  • 18. (V-BLAST) DECODING  Initialization: Recursion: i 1 wki (Gi ) ki G1 H H 2 y ki wki ri k1 arg min (G1 ) j j ˆ a ki Q ( y ki ) ri 1 ri ˆ a ki ( H ) ki G H (H H H ) 1 H H Gi 1 H ki G (H H H 2 I) 1H H 2 ki 1 arg min (Gi 1 ) j j k1ki i i 1
  • 19.
  • 20. REFERENCES  V-BLAST: An Architecture for Realizing Very High Data Rates Over the Rich-Scattering Wireless Channel P. W. Wolniansky, G. J. Foschini, G. D. Golden, R. A. Valenzuela  Modern wireless communication Simon Haykin , Michael Moher  BLAST Architectures Eduardo Zacar´ıas B.  Fundamentals of wireless communication David Tse , Pramod  Performance Analysis of V-BLAST Detectors for the MIMO channel Fenghua Li