• DocumentCode
    2037485
  • Title

    Energy efficiency optimization in multiuser relay-assisted MIMO systems

  • Author

    Zappone, Alessio ; Pan Cao ; Jorswieck, Eduard A.

  • Author_Institution
    Commun. Lab., Tech. Univ. Dresden, Dresden, Germany
  • fYear
    2013
  • fDate
    3-6 Nov. 2013
  • Firstpage
    778
  • Lastpage
    782
  • Abstract
    The issue of energy-efficient resource allocation in a multi-user, amplify-and-forward, relay-aided MIMO system is considered. The transmit covariance matrices and the relay amplification matrix are optimized in order to maximize the systems global energy efficiency, defined as the ratio between the system achievable sum-rate and the total consumed power. In the definition of the consumed power, both the transmit power and the circuit power needed to operate the terminal are accounted for. The considered performance metric is measured in bit/Joule thus representing a measure of the efficiency with which each Joule of energy is employed. The tools of fractional programming and alternating maximization are employed to come up with a resource allocation algorithm which also considers QoS constraints.
  • Keywords
    MIMO communication; amplify and forward communication; covariance matrices; mathematical programming; multiuser channels; quality of service; relay networks (telecommunication); resource allocation; QoS constraints; alternating maximization; circuit power; energy-efficient resource allocation; fractional programming; global energy efficiency; multiuser amplify-and-forward relay-aided MIMO system; relay amplification matrix; system achievable sum-rate; total consumed power; transmit covariance matrices; transmit power; Base stations; Covariance matrices; MIMO; Quality of service; Relays; Resource management; Wireless communication; Energy Efficiency; Fractional programming; Multiple-antenna systems; Relay-Assisted communications; Resource allocation; Statistical CSI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2013 Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • Print_ISBN
    978-1-4799-2388-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2013.6810391
  • Filename
    6810391