Capacity and Power Allocation for Transmitter and Receiver Cooperation in Fading Channels

被引:0
|
作者
Ng, Chris T. K. [1 ]
Goldsmith, Andrea J. [1 ]
机构
[1] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Capacity gain from transmitter and receiver cooperation under channel fading are compared in a relay network where the cooperating nodes are close together. We assume a Rayleigh flat-fading environment in the high signal-to-noise ratio (SNR) regime where the transmitters only have channel distribution information (CDI) but not channel state information (CSI). When all nodes have equal average transmit power, we show that the decode-and-forward transmitter cooperation strategy is capacity-achieving and is superior to receiver cooperation. However, the compress-and-forward receiver cooperation strategy is shown to outperform transmitter cooperation when power is optimally allocated among the nodes. Furthermore, we show that cooperative systems provide resilience to channel fading. However, in a fading channel, capacity becomes more sensitive to power allocation, and the cooperating nodes need to be closer together. With respect to limits on cooperation, it is shown that in a large cluster of M cooperating nodes, transmitter cooperation without CSI at the transmitter (CSIT), or receiver cooperation under equal power allocation, provides no capacity gain in a static channel, and at most a constant capacity gain that fails to grow with M in a fading channel.
引用
收藏
页码:3741 / 3746
页数:6
相关论文
共 50 条
  • [41] Power Allocation for Multiple Transmitter-Receiver Pairs Under Frequency-Selective Fading Based on Convolutional Neural Network
    Dai, Mingjun
    Huang, Qingwen
    Lu, Zexin
    Chen, Bin
    Wang, Hui
    Qin, Xue
    IEEE ACCESS, 2020, 8 : 31018 - 31025
  • [42] Impact of spatial fading correlation and keyholes on the capacity of MIMO systems with transmitter and receiver CSI
    Maaref, Amine
    Aissa, Sonia
    2007 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-14, 2007, : 4357 - 4362
  • [43] Impact of spatial fading correlation and keyhole on the capacity of MIMO systems with transmitter and receiver CSI
    Maaref, Amine
    Aissa, Sonia
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2008, 7 (08) : 3218 - 3229
  • [44] RECEIVER WITH MEMORY FOR FADING CHANNELS
    VARSHNEY, PK
    HADDAD, AH
    IEEE TRANSACTIONS ON COMMUNICATIONS, 1978, 26 (02) : 278 - 283
  • [45] Power control for fading multiple access channels with user cooperation
    Kaya, O
    Ulukus, S
    2005 INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS, COMMUNICATIONS AND MOBILE COMPUTING, VOLS 1 AND 2, 2005, : 1443 - 1448
  • [46] Optimal Bandwidth and Power Allocation for Sum Ergodic Capacity Under Fading Channels in Cognitive Radio Networks
    Gong, Xiaowen
    Vorobyov, Sergiy A.
    Tellambura, Chintha
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2011, 59 (04) : 1814 - 1826
  • [47] The capacity of downlink fading channels with variable rate and power
    Goldsmith, AJ
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 1997, 46 (03) : 569 - 580
  • [48] Capacity of broadcast fading channels with variable rate and power
    Goldsmith, A
    IEEE GLOBECOM 1996 - COMMUNICATIONS THEORY MINI-CONFERENCE, CONFERENCE RECORD: COMMUNICATIONS: THE KEY TO GLOBAL PROSPERITY, 1996, : 92 - 96
  • [49] Capacity Optimizing Power Allocation in Interference Channels
    Deng, Shiyang
    Weber, Tobias
    Ahrens, Andreas
    AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2009, 63 (02) : 139 - 147
  • [50] Capacity and optimal resource allocation for fading broadcast channels - Part I: Ergodic capacity
    Li, LF
    Goldsmith, AJ
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2001, 47 (03) : 1083 - 1102