• DocumentCode
    1270853
  • Title

    On Achievable Rate Regions for Half-Duplex Gaussian MIMO Relay Channels: A Decomposition Approach

  • Author

    Gerdes, Lennart ; Riemensberger, Maximilian ; Utschick, Wolfgang

  • Author_Institution
    Associate Inst. for Signal Process., Tech. Univ. Munchen, Munich, Germany
  • Volume
    30
  • Issue
    8
  • fYear
    2012
  • fDate
    9/1/2012 12:00:00 AM
  • Firstpage
    1319
  • Lastpage
    1330
  • Abstract
    We consider uni- and bidirectional communication in the half-duplex multiple-input multiple-output (MIMO) relay channel. Assuming perfect channel state information at all nodes and the use of time division duplex communication protocols with a peak power constraint for every protocol phase, we propose a dual decomposition approach to efficiently determine the cut-set bound and the maximum achievable decode-and-forward rate for the Gaussian MIMO relay channel. A general outer bound on the rate regions that can be achieved in the restricted two-way MIMO relay channel is established, and we present an achievable rate region based on the decode-and-forward scheme which is a superset of several previously derived achievable rate regions. Finally, it is shown how the stated outer bound and achievable rate region can also be evaluated by means of the proposed dual decomposition approach, and we discuss how our work may be used for designing optimal protocols.
  • Keywords
    Gaussian channels; MIMO communication; decode and forward communication; time division multiple access; achievable rate regions; decode-and-forward rate; decomposition approach; half-duplex Gaussian MIMO relay channels; outer bound; perfect channel state information; time division duplex communication protocols; Covariance matrix; MIMO; Optimization; Protocols; Relays; Resource description framework; Vectors; MIMO; Relay channel; cut-set bound; decode-and-forward; dual decomposition; half-duplex; two-way relay channel;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/JSAC.2012.120903
  • Filename
    6280240