Research on Compressed Sensing of KL Domain with Limited Feedback in MIMO-OFDM System

被引:0
|
作者
Fu Hongliang [1 ]
Li Chao [2 ]
机构
[1] Henan Univ Technol, Key Lab Grain Informat Proc & Controlling, Zhengzhou, Peoples R China
[2] Henan Univ Technol, Coll Informat Sci & Engn, Zhengzhou, Peoples R China
关键词
MIMO-OFDM; limited feedback in KL domain; channel state information feedback; orthogonal matching pursuit; PURSUIT;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to solve the problem of feedback link overhead in MIMO-OFDM system, and improve the transmission efficiency, a limited feedback method based on KL domain is proposed in this paper. In this method, the state information which is obtained from the channel estimation performed in KL domain sparse at the receiving end. Thereby a small amount of linear measurements are obtained which represents the total channel state information, Then these measurements are fed back to the transmitting end. In the transmitter, the channel state information is reconstructed through orthogonal matching pursuit algorithm. The simulation results show that the proposed limited feedback based on KL (Karhuner-Loeve) domain method can achieve full channel state feedback effect and decreases the overhead in the feedback link.
引用
收藏
页码:151 / 154
页数:4
相关论文
共 50 条
  • [31] Learning-Based Adaptive Transmission for Limited Feedback Multiuser MIMO-OFDM
    Rico-Alvarino, Alberto
    Heath, Robert W., Jr.
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2014, 13 (07) : 3806 - 3820
  • [32] SINR Based Limited Feedback Scheduling For MIMO-OFDM Heterogeneous Broadcast Networks
    Pattanayak, Prabina
    Kumar, Preetam
    2016 TWENTY SECOND NATIONAL CONFERENCE ON COMMUNICATION (NCC), 2016,
  • [33] Recursive and trellis-based feedback reduction for MIMO-OFDM with rate-limited feedback
    Zhou, Shengli
    Li, Baosheng
    Willett, Peter
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2006, 5 (12) : 3400 - 3405
  • [34] Research of MIMO-OFDM Model
    Dong Qingwei
    Zhou Ling
    Liu Hui
    Wang Chunyu
    Li Yaochun
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING, 2015, 124 : 2337 - 2342
  • [35] Research and Simulation of MIMO-OFDM Wireless Communication System
    Jiang Xuehua
    Chen Peijiang
    2009 INTERNATIONAL FORUM ON INFORMATION TECHNOLOGY AND APPLICATIONS, VOL 1, PROCEEDINGS, 2009, : 83 - 86
  • [36] Compressed Sensing for OFDM/MIMO Radar
    Berger, Christian R.
    Zhou, Shengli
    Willett, Peter
    Demissie, Bruno
    Heckenbach, Joerg
    2008 42ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-4, 2008, : 213 - +
  • [37] Compensation estimation method for fast fading MIMO-OFDM channels based on compressed sensing
    Zhou, Xiaoping
    Zhao, Zhongxiao
    Li, Li
    Li, Si
    Journal of Communications, 2015, 10 (07): : 466 - 473
  • [38] Impulsive Noise Cancellation for MIMO-OFDM PLC Systems: a Structured Compressed Sensing Perspective
    Liu, Sicong
    Yang, Fang
    Ding, Wenbo
    Song, Jian
    Han, Zhu
    2016 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2016,
  • [39] MIMO-OFDM Non-regenerative Relay Channel Estimation using Compressed Sensing
    Akbarpour-Kasgari, Abbas
    Ardebilipour, Mehrdad
    Afghah, Fatemeh
    2015 49TH ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS (CISS), 2015,
  • [40] MIMO-OFDM Channel Feedback Based on Distributed Compressive Sensing: A New Perspective
    Cheng, Peng
    Chen, Zhuo
    Sung, Chang Kyung
    2014 IEEE 25TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATION (PIMRC), 2014, : 21 - 26