LDPC for MIMO Systems July 8, 2004 Jianuxan Du,

Slides:



Advertisements
Similar presentations
Doc.: IEEE /0111r0 Zhanji Wu, et. Al. December 2012 Submission A Physical-layer Network Coding Relay scheme for IEEE Date: Authors:
Advertisements

Underwater Acoustic MIMO Channel Capacity
Prakshep Mehta ( ) Guided By: Prof. R.K. Shevgaonkar
1 Channel Coding in IEEE802.16e Student: Po-Sheng Wu Advisor: David W. Lin.
Cooperative Multiple Input Multiple Output Communication in Wireless Sensor Network: An Error Correcting Code approach using LDPC Code Goutham Kumar Kandukuri.
Mattias Wennström Signals & Systems Group Mattias Wennström Uppsala University Sweden Promises of Wireless MIMO Systems.
Near Shannon Limit Performance of Low Density Parity Check Codes
Partial Parallel Interference Cancellation Based on Hebb Learning Rule Taiyuan University of Technology Yanping Li.
Space Time Block Codes Poornima Nookala.
MIMO-OFDM MIMO MIMO High diversity gain (space-time coding) High diversity gain (space-time coding) High multiplexing gain (BLAST) High multiplexing gain.
MIMO Multiple Input Multiple Output Communications © Omar Ahmad
Block-LDPC: A Practical LDPC Coding System Design Approach
Wireless Mobile Communication and Transmission Lab. Theory and Technology of Error Control Coding Chapter 7 Low Density Parity Check Codes.
Doc.: IEEE /992 Submission September, 2004 Victor Stolpman et. al Irregular Structured LDPC Codes and Structured Puncturing Victor Stolpman, Nico.
Doc.: IEEE /0abcr0 Submission Sept 2004 Mustafa Eroz, Hughes Network SystemsSlide 1 HNS Proposal for n Physical Layer Mustafa Eroz, Feng-Wen.
Multiple Input Multiple Output (MIMO) Communications System
Ali Al-Saihati ID# Ghassan Linjawi
Space-Time and Space-Frequency Coded Orthogonal Frequency Division Multiplexing Transmitter Diversity Techniques King F. Lee.
Introduction of Low Density Parity Check Codes Mong-kai Ku.
Coded Modulation for Multiple Antennas over Fading Channels
ANALYSIS OF TRANSMIT ANTENNA SELECTION/MAXIMAL-RATIO COMBINING IN RAYLEIGH FADING CHANNELS IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 54, NO. 4, JULY.
Doc.: IEEE /1401r0 Submission November 2014 Slide 1 Shiwen He , Haiming Wang Quasi-Orthogonal STBC for SC-PHY in IEEE aj (45GHz) Authors/contributors:
Part 1: Overview of Low Density Parity Check(LDPC) codes.
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.
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.: IEEE /992r1 Submission September, 2004 Victor Stolpman et. al Irregular Structured LDPC Codes and Structured Puncturing Victor Stolpman,
Doc.: aj SubmissionSlide 1 LDPC Coding for 45GHz Date: Authors: July 2014 NameAffiliationsAddressPhone Liguang LiZTE CorporationShenzhen.
Doc.: aj Submission November 2014 Slide 1 Shiwen He , Haiming Wang Quasi-Orthogonal STBC for IEEE aj ( 45GHz ) Authors/contributors:
Doc.: IEEE / n Submission March 2004 PCCC Turbo Codes for IEEE n B. Bougard; B. Van Poucke; L. Van der Perre {bougardb,
Doc.: IEEE /0717r0 SubmissionSlide 1 LDPC for IEEE802.11aj(45GHz) Date: Authors: May 2014 NameAffiliationsAddressPhone Liguang.
Overview of MB-OFDM UWB Baseband Channel Codec for MB-OFDM UWB 2006/10/27 Speaker: 蔡佩玲.
1 Aggregated Circulant Matrix Based LDPC Codes Yuming Zhu and Chaitali Chakrabarti Department of Electrical Engineering Arizona State.
August 2004 doc.: IEEE / n August 2004
Space Time Codes.
Space-Time and Space-Frequency Coded Orthogonal Frequency Division Multiplexing Transmitter Diversity Techniques King F. Lee.
Further Rotation Modulation Application
Length 1344 LDPC codes for 11ay
LDPC Coding for 45GHz Date: Authors: September 2014
DIP 2005 Final Project Proposal
Konstantinos Nikitopoulos
Antenna selection and RF processing for MIMO systems
Rate 7/8 (1344,1176) LDPC code Date: Authors:
Coding and Interleaving
Progress report of LDPC codes
Distributed MIMO Patrick Maechler April 2, 2008.
Linglong Dai and Zhaocheng Wang Tsinghua University, Beijing, China
HNS Proposal for n Physical Layer
Performance Comparison of Antenna Selection and DSTBC
PHY and MAC Proposal for IEEE n
HDR a solution using MIMO-OFDM
Capacity-Approaching Linear Precoding with Low-Complexity for Multi-User Large-Scale MIMO systems Xinyu Gao1, Linglong Dai1, Jiayi Zhang1, Shuangfeng Han2,
Physical Layer Approach for n
August 2004 doc.: IEEE / n August 2004
Chris Jones Cenk Kose Tao Tian Rick Wesel
Digital Communication Chapter 1: Introduction
Opportunistic Beam-forming with Limited Feedback
A Novel Soft MIMO Detector for MIMO-OFDM (802.11n) Receivers
<month year> doc.: IEEE /125r0 August 2004
August 2004 doc.: IEEE / n August 2004
Different Channel Coding Options for MIMO-OFDM n
Irregular Structured LDPC Codes and Structured Puncturing
Low-Density Parity-Check Codes
August 2004 doc.: IEEE / n August 2004
Joint Coding and Modulation Diversity for ac
Rotation Modulation Application to ac system
STBC in Single Carrier(SC) for IEEE aj (45GHz)
Turbo-equalization for n/ac
HNS Proposal for n Physical Layer
Summary of HNS Partial Proposal for n Physical Layer
Presentation transcript:

LDPC for MIMO Systems July 8, 2004 Jianuxan Du, du@merl.com doc.: IEEE 802.11-02/xxxr0 LDPC for MIMO Systems July 8, 2004 Jianuxan Du, du@merl.com Daqing Gu, dgu@merl.com Jinyun Zhang, jzhang@merl.com Mitsubishi Electric Research Lab, Cambridge, MA

Outline Introduction Quasi-block diagonal LDPC for MIMO systems with layered structure Simulation comparison with convolutional codes Simulation comparison with V-BLAST

Introduction Advantages of LDPC Capacity approaching performance Parallelizability of decoding, suitable for high speed implementation Flexibility: LDPC is simply a kind of linear block code and its rate can be adjusted by puncturing, shortening, etc.

Quasi-Block Diagonal LDPC Space-time Coding for Layered Systems Feature: The encoding of different layers are correlated as compared with conventional V-BLAST. Advantage: The space-time LDPC is designed such that the code can be decoded partially, but with the help of other layers (undecoded part) by the introduction of correlation between different layers.

Parity Check Structure of QBD-LDPC

Encoding of QBD-LDPC Encoding of QBD-LDPC Qn-1 Hn= [Pn I] by Gaussian elimination. The parity check bits for subcode n are given by Pnvn+ Qn-1vn-1 , where is vn the input information bit vector for subcode n, and vn-1 is derived from the subcode n-1. With the given structure, the information about subcode n-1 is also contained in subcode n. Therefore, information from subcode n can help decoding subcode n-1.

Decoding of QBD-LDPC

Decoding of QBD-LDPC (Cont’) The decoding is based on zero-forcing and interference cancellation, which is made possible by the lower-triangular structure of the parity check matrix. The LLR’s of bits in successfully decoded subcodes are set to maximum or minimum value, depending on the output, to avoid ambiguity caused by the introduction of connection matrices.

Performance comparison with convolutional coding 172Mbps 64QAM Code rate 0.6 Channel Model ‘F’

Performance Comparison with Conventional V-BLAST 72Mbps 64QAM Code rate 0.5 Channel model ‘F’

Conclusion LDPC outperforms convolutional coding by about 2dB. The simulated QBD-LDPC system outperforms conventional LDPC-coded V-BLAST by about 0.5dB.

References [1] R. G. Gallager, Low-Density Parity-Check Codes. Cambridge, MA: MIT Press, 1963. [2] B. Lu, X. Wang, and K. R. Narayanan, “LDPC-based space-time coded OFDM systems over correlated fading channels: performance analysis and receiver design,” IEEE Trans. Commun., vol. 50, pp. 74-88, Jan. 2002. [3] G. J. Foschini, “Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas,” Bell Labs Technical Journal, pp. 41-59, Aug. 1996. [4] S. Y. Chung, T. J. Richardson, and R. L. Urbanke, “Analysis of sum-product decoding of low-density parity-check codes using a Gaussian approximation,” IEEE Trans. Inform. Theory, vol. 47, pp. 657-670, Feb. 2001. [5] P. Meshkat and H. Jafarkhani, “Space-time low-density parity-check codes,” Signals, systems and Computers, Conference Record of the Thirty-Sixth Asilomar Conference on, vol. 2, pp. 1117-1121, Nov. 2002.