Joint training interval length and power allocation optimization for MIMO flat fading channels

被引:3
|
作者
Hadj-Kacem, Imed [1 ,2 ]
Sellami, Noura [1 ]
Fijalkow, Inbar [2 ]
Roumy, Aline [3 ]
机构
[1] ENIS, Lab LETI, Route Sokra Km 3-5,BP 3038, Sfax, Tunisia
[2] Univ Cregy Pontoise, CNRS, ENESA, UMR 8051, F-95000 Rennes, France
[3] INRIA, F-35042 Rennes, France
关键词
PERFORMANCE; ANTENNA; ERRORS;
D O I
10.1109/ISWCS.2009.5285251
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we jointly optimize the training interval length and the power allocation for MIMO (Multiple-Input Multiple-Output) flat fading channels when a Maximum A Posteriori (MAP) detector is used at the receiver and the training and data powers are allowed to vary. We calculate the equivalent Signal-to-Noise Ratio (SNR) at the output of the MAP detector. Based on this expression, we define an effective SNR taking into account the data throughput loss due to the use of pilot symbols. We find that the optimal length of the training interval maximizing this quantity is equal to the number of transmit antennas. When the values of the pilot and data powers are not allowed to be different, we give the optimal training interval length maximizing the effective SNR and we show that it can be larger than the number of transmit antennas.
引用
收藏
页码:16 / +
页数:2
相关论文
共 50 条
  • [31] Optimal transmit-beam number and power allocation for correlated MIMO Rayleigh fading channels
    Li, Jiangyuan
    Zhang, Q. T.
    2008 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, PROCEEDINGS, VOLS 1-13, 2008, : 4240 - 4244
  • [32] On the optimal spreading sequence allocation in flat-fading channels
    Djonin, DV
    Bhargava, VK
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2003, 2 (04) : 680 - 689
  • [33] Power Allocation for Multicell Mixed-ADC Massive MIMO Systems in Rician Fading Channels
    Zhang, Mengjiao
    Tan, Weiqiang
    Gao, Junhui
    Yang, Xi
    Jin, Shi
    2017 9TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2017,
  • [34] Dynamic Electromagnetic Exposure Allocation for Rayleigh Fading MIMO Channels
    Castellanos, Miguel R.
    Ying, Dawei
    Love, David J.
    Peleato, Borja
    Hochwald, Bertrand M.
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (02) : 728 - 740
  • [35] Power Loss Analysis of Tomlinson-Harashima Precoder with Tilted Constellation in Flat Fading MIMO Channels
    Kim, Joondoo
    Lee, Chungyong
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2012, 11 (09) : 3368 - 3376
  • [36] Joint Power Allocation and Beamforming for Overlaid Secrecy Transmissions in MIMO-OFDM Channels
    Yuan, Chaoying
    Tao, Xiaofeng
    Ni, Wei
    Li, Na
    Jamalipour, Abbas
    Liu, Ren Ping
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (09) : 10019 - 10032
  • [37] A Robust Sampling Iteration Detection for Fast Flat Fading MIMO Channels
    Yang, Tao
    Guo, Xinyue
    Hu, Bo
    GLOBECOM 2006 - 2006 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, 2006,
  • [38] Sphere decoding for retransmission diversity in MIMO flat-fading channels
    Samra, H
    Ding, Z
    2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL IV, PROCEEDINGS: AUDIO AND ELECTROACOUSTICS SIGNAL PROCESSING FOR COMMUNICATIONS, 2004, : 585 - 588
  • [39] Outage and diversity of linear receivers in flat-fading MIMO channels
    Hedayat, Ahmadreza
    Nosratinia, Aria
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2007, 55 (12) : 5868 - 5873
  • [40] On parameter estimation of MIMO flat-fading channels with frequency offsets
    Besson, O
    Stoica, P
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2003, 51 (03) : 602 - 613