• DocumentCode
    21386
  • Title

    Resource Allocation for Energy-Efficient 3-Way Relay Channels

  • Author

    Matthiesen, Bho ; Zappone, Alessio ; Jorswieck, Eduard A.

  • Author_Institution
    Dept. of Commun. Theor., Commun. Lab., Tech. Univ. Dresden, Dresden, Germany
  • Volume
    14
  • Issue
    8
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    4454
  • Lastpage
    4468
  • Abstract
    Throughput and energy efficiency in 3-way relay channels are studied in this paper. Unlike previous contributions, we consider a circular message exchange. First, an outer bound and achievable sum rate expressions for different relaying protocols are derived for 3-way relay channels. The sum capacity is characterized for certain SNR regimes. Next, leveraging the derived achievable sum rate expressions, cooperative and competitive maximization of the energy efficiency are considered. For the cooperative case, both low-complexity and globally optimal algorithms for joint power allocation at the users and at the relay are designed so as to maximize the system global energy efficiency. For the competitive case, a game theoretic approach is taken, and it is shown that the best response dynamics is guaranteed to converge to a Nash equilibrium. A power consumption model for mmWave board-to-board communications is developed, and numerical results are provided to corroborate and provide insight on the theoretical findings.
  • Keywords
    cooperative communication; electronic messaging; energy conservation; game theory; protocols; relay networks (telecommunication); resource allocation; telecommunication power management; wireless channels; 3-way relay channel; Nash equilibrium; SNR; circular message exchange; cooperative case; game theoretic approach; global energy efficiency; joint power allocation; mmWave board-to-board communication; power consumption model; relaying protocol; resource allocation; response dynamics; sum capacity; Artificial neural networks; Decoding; Power control; Receivers; Relays; Resource management; Wireless communication; 5G networks; Multi-way networks; energy efficiency; fractional programming; game theory; green communications; mmWave communications; monotonic optimization; power control; relay systems; resource allocation;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2015.2421496
  • Filename
    7084128