Space Time Codes.

Slides:



Advertisements
Similar presentations
ECSE 6592 Wireless Ad Hoc and Sensor Networks Spatial Diversity in Wireless Networks Hsin-Yi Shen Nov 3, 2005.
Advertisements

MIMO Communication Systems
Prakshep Mehta ( ) Guided By: Prof. R.K. Shevgaonkar
The Impact of Channel Estimation Errors on Space-Time Block Codes Presentation for Virginia Tech Symposium on Wireless Personal Communications M. C. Valenti.
Comparison of different MIMO-OFDM signal detectors for LTE
EE359 – Lecture 16 Outline Announcements: HW due Friday MT announcements Rest of term announcements MIMO Diversity/Multiplexing Tradeoffs MIMO Receiver.
EE359 – Lecture 16 Outline Announcements: HW due Thurs., last HW will be posted Thurs., due 12/4 (no late HWs) Friday makeup lecture 9:30-10:45 in Gates.
EE359 – Lecture 16 Outline MIMO Beamforming MIMO Diversity/Multiplexing Tradeoffs MIMO Receiver Design Maximum-Likelihood, Decision Feedback, Sphere Decoder.
Noise Cancelation for MIMO System Prepared by: Heba Hamad Rawia Zaid Rua Zaid Supervisor: Dr.Yousef Dama.
Mohammad Jaber Borran, Mahsa Memarzadeh, and Behnaam Aazhang June 29, 2001 Coded Modulation for Orthogonal Transmit Diversity.
Mattias Wennström Signals & Systems Group Mattias Wennström Uppsala University Sweden Promises of Wireless MIMO Systems.
IERG 4100 Wireless Communications
10 th MCM - Novi Sad, March 2006 Joaquim Bastos ( ) 1 The information in this document is provided as is and no guarantee or warranty.
STBC BASED STTC CODES OPTIMIZED DESIGNS FOR THREE TRANSMIT ANTENNA SYSTEMS CANCES Jean-Pierre XLIM - Dépt. C 2 S 2 UMR CNRS 6172 ENSIL Parc ESTER - BP.
Multiple-input multiple-output (MIMO) communication systems
Space Time Block Codes Poornima Nookala.
1 Today, we are going to talk about: Shannon limit Comparison of different modulation schemes Trade-off between modulation and coding.
Coding and Information Theory Lecture 15: Space Time Coding and MIMO:
Space-time Diversity Codes for Fading Channels
MIMO-OFDM MIMO MIMO High diversity gain (space-time coding) High diversity gain (space-time coding) High multiplexing gain (BLAST) High multiplexing gain.
EE359 – Lecture 15 Outline Announcements: HW due Friday MIMO Channel Decomposition MIMO Channel Capacity MIMO Beamforming Diversity/Multiplexing Tradeoffs.
MULTIPLE INPUT MULTIPLE OUTPUT SYSTEMS (MIMO)
Wireless Communication Elec 534 Set IV October 23, 2007
Super-Orthogonal Space- Time BPSK Trellis Code Design for 4 Transmit Antennas in Fast Fading Channels Asli Birol Yildiz Technical University,Istanbul,Turkey.
Coded Transmit Macrodiversity: Block Space-Time Codes over Distributed Antennas Yipeng Tang and Matthew Valenti Lane Dept. of Comp. Sci. & Elect. Engg.
Multiple Input Multiple Output (MIMO) Communications System
Ali Al-Saihati ID# Ghassan Linjawi
MIMO continued and Error Correction Code. 2 by 2 MIMO Now consider we have two transmitting antennas and two receiving antennas. A simple scheme called.
Sphere Decoding Algorithm for MIMO Detection Arslan Zulfiqar.
NTUEE Confidential Toward MIMO MC-CDMA Speaker : Pei-Yun Tsai Advisor : Tzi-Dar Chiueh 2004/10/25.
Presented by: Sohaib Malik.  A radio whose functionality can be changed by changes in only the software  Key feature: ◦ Reprogramability ◦ Reusability.
EE359 – Lecture 15 Outline Introduction to MIMO Communications MIMO Channel Decomposition MIMO Channel Capacity MIMO Beamforming Diversity/Multiplexing.
Space-Time and Space-Frequency Coded Orthogonal Frequency Division Multiplexing Transmitter Diversity Techniques King F. Lee.
Coded Modulation for Multiple Antennas over Fading Channels
Doc.: IEEE /1401r0 Submission November 2014 Slide 1 Shiwen He , Haiming Wang Quasi-Orthogonal STBC for SC-PHY in IEEE aj (45GHz) Authors/contributors:
MIMO Communications and Algorithmic Number Theory G. Matz joint work with D. Seethaler Institute of Communications and Radio-Frequency Engineering Vienna.
ITERATIVE CHANNEL ESTIMATION AND DECODING OF TURBO/CONVOLUTIONALLY CODED STBC-OFDM SYSTEMS Hakan Doğan 1, Hakan Ali Çırpan 1, Erdal Panayırcı 2 1 Istanbul.
Doc.: IEEE /0016r0 Submission January 2004 Yang-Seok Choi et al., ViVATOSlide 1 Layered Processing for MIMO OFDM Yang-Seok Choi,
Space Time Codes. 2 Attenuation in Wireless Channels Path loss: Signals attenuate due to distance Shadowing loss : absorption of radio waves by scattering.
3: Diversity Fundamentals of Wireless Communication, Tse&Viswanath 1 3. Diversity.
Iterative detection and decoding to approach MIMO capacity Jun Won Choi.
Channel Capacity of MIMO Channels 指導教授:黃文傑 老師 指導教授:黃文傑 老師 學 生:曾凱霖 學 生:曾凱霖 學 號: M 學 號: M 無線通訊實驗室 無線通訊實驗室.
A Simple Transmit Diversity Technique for Wireless Communications -M
EE359 – Lecture 15 Outline Announcements: HW posted, due Friday MT exam grading done; l Can pick up from Julia or during TA discussion section tomorrow.
V- BLAST : Speed and Ordering Madhup Khatiwada IEEE New Zealand Wireless Workshop 2004 (M.E. Student) 2 nd September, 2004 University of Canterbury Alan.
Doc.: aj Submission November 2014 Slide 1 Shiwen He , Haiming Wang Quasi-Orthogonal STBC for IEEE aj ( 45GHz ) Authors/contributors:
SMARAD / Radio Laboratory 1 Overview of MIMO systems S Postgraduate Course in Radio Communications Sylvain Ranvier
Multiple Antennas.
Trellis-coded Unitary Space-Time Modulation for Multiple-Antenna Scheme under Rayleigh Flat Fading 指導教授 : 王 瑞 騰 老師 學生 : 吳委政.
EE359 – Lecture 16 Outline ISI Countermeasures Multicarrier Modulation
Wireless Communication
EE359 – Lecture 15 Outline Announcements: MIMO Channel Capacity
EE359 – Lecture 14 Outline Practical Issues in Adaptive Modulation
MULTIPLE INPUT MULTIPLE OUTPUT SYSTEMS (MIMO)
Space-Time and Space-Frequency Coded Orthogonal Frequency Division Multiplexing Transmitter Diversity Techniques King F. Lee.
EE359 – Lecture 15 Outline Announcements: MIMO Channel Capacity
Modulation and Coding Schemes
Coding and Interleaving
Distributed MIMO Patrick Maechler April 2, 2008.
Space Time Coding and Channel Estimation
EE359 – Lecture 12 Outline Announcements Transmit Diversity
Towards IEEE HDR in the Enterprise
Layered Processing for MIMO OFDM
HDR a solution using MIMO-OFDM
Digital Communication Chapter 1: Introduction
ETRI Proposal to IEEE TGn
Optimal Combining of STBC and Spatial Multiplexing for MIMO-OFDM
MIMO (Multiple Input Multiple Output)
STBC in Single Carrier(SC) for IEEE aj (45GHz)
Presentation transcript:

Space Time Codes

A MIMO SYSTEM

System Model

System Model Why Space Time coding ? MIMO system with NT transmit and NR receive antennas : received vector : quasi-static channel matrix : transmitted vector : white Gaussian noise vector Why Space Time coding ?

Space-Time Coding What is Space-Time coding? Coding schemes allow for the adjusting and optimization of joint encoding across space and time in order to maximize the reliability of a wireless link. Space-Time codes allow us to achieve this goal by exploiting Spatial diversity in order to provide coding and diversity gains over an uncoded wireless link

Space-Time Coding Space-Time Block Codes: Space-Time Trellis Codes: These codes are transmitted using an orthogonal block structure which enables simple decoding at the receiver. Space-Time Trellis Codes: These are convolutional codes extended to the case of multiple transmit and receive antennas.

Space-Time Coding Space-Time Block Codes achieve maximum possible diversity advantage but no coding gain and bandwidth expansion advantage: simplicity Space-Time Trellis Codes (STTC) joint design of error control coding, Modulation, transmit and receive diversity complexity coding gain, spectral efficiency, and diversity improvement

Maximizing diversity with Space-Time Codes Space–Time Trellis Codes (STTC) offer better performance at the cost of increased complexity Complex decoding (vector version of the Viterbi algorithm) —increases exponentially with the transmission rate Full diversity. Coding gain Space–Time Block Codes (STBC) Simple maximum–likelihood (ML) decoding based on linear processing Full diversity. Minimal or no coding gain

Space-Time Trellis Coding 1 2 3 Aim : To realize joint encoding, modulation and diversity across space and time . Design : 4-QAM / QPSK 4 – state 2 – Transmit antennas

Space-Time Trellis Coding Example of a 2 transmit space-time trellis code with 4 states (4-PSK constellations, spectral efficiency of 2bps/Hz) Input Bits 00 ‘0’ 01 ‘1’ 10 ‘2’ 11 ‘3’ State 0 Output for Antenna1,Antenna2 02 03 State 1 12 13 State 2 20 21 22 23 State 3 30 31 32 State # 1 2 3

Example Assume initial state : 00  state 0 Input stream : 0 3 0 1 2 0 3 2 0 1 0 0 Tx. Ant. 1 : 0 0 3 0 1 2 0 3 2 0 1 0 Tx. Ant. 2 : 0 3 0 1 2 0 3 2 0 1 0 0 Delay diversity ?

Example - Delay diversity code, QPSK modulation Example - Delay diversity code, QPSK modulation Code rate ½ , 2 Tx antennas Input x ∈ ℤ4 output antenna 1 antenna 2 D c1 c2 Encoder structure: Example: x = 1 3 2 0 1 c1 = 1 3 2 0 1 c2 = 0 1 3 2 0 1 symbol delay

Example -Space-time ring TCM code 4-state trellis, code rate ½ (and n=2) Encoder structure: c1 x D c2 + 3 1 2 3 1 1 input seq. output seq. 1 3 0 3 0 t0 t1 2 1 input St St+1 c1 c2 1 3 2 2 1 3

Example -Space-time ring TCM code 4-state trellis, code rate ½ (and n=2)

Space Time Trellis Decoding For the 2 Tx antennas system the metric is reduced to: m (rj ( l ), ci ( l ) / h ij ( l ) ) =   [ rj( l ) - {h 1j ( l ) c1( l ) + h 2j ( l ) c2( l ) } ] 2 l = 1 j = 1 L m

Space Time Trellis Decoding

Simulation Results for Trellis Codes 2 Tx, 1Rx, 4PSK codes: 2 Tx, 2Rx, 4PSK codes: Increase in number of states → increases coding gain Increase in number of receive antennas → increases diversity gain

Space-Time Block Codes

Space-Time Block Code Alamouti Codes Tx1 Tx2 -c2* c1 c1* c2 Encoding and Transmission : Decoding: Linearly combine received symbols Perform Maximum Likelihood (ML) detection Diversity order of 2NR guaranteed The received symbols :

STBC for Tx. Ant > 2

Simulation Results for Alamouti Scheme Increase in number of receive antennas → increases diversity order

Comparison of Alamouti and Trellis Space–Time Trellis codes perform better than Alamouti scheme. Alamouti code is lot simpler to decode than trellis codes

Capacity increase in MIMO

Scope of MIMO MIMO channels offer multiplexing gain, diversity gain, power gain (array gain) and a co–channel interference cancellation gain Tradeoff between diversity gain and multiplexing gain: Careful balancing between those gains is required Space-Time Coding: Space-Time block codes (STBC) and Space-Time Trellis Codes Easy to combine with error control codes MIMO systems offer a solution choice for future generation wireless networks Distributed MIMO: Cooperative wireless networks