• DocumentCode
    2415368
  • Title

    Joint Source and Relay Precoding Designs for MIMO Two-Way Relay Systems

  • Author

    Wang, Rui ; Tao, Meixia

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2011
  • fDate
    5-9 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We investigate the source and relay precoding based on the minimum mean-square-error (MMSE) criterion for amplify-and-forward (AF) MIMO two-way relay systems. This joint design problem is shown to be a highly nonconvex optimization problem. In this work, we present two efficient design algorithms. The first one aims to minimize the total MSE of two users by alternatively solving three trackable sub-problems and it is iterative in nature. Since the optimal solution for each sub-problem can be obtained, the convergence is thus ensured. The second design aims to compromise computational complexity and system performance and possesses a certain precoder structure. This structure is able to parallelize channels in the Multiple Access (MAC) and Broadcast (BC) phases of the two-way relaying. Based on such structure, the joint precoding design is simply reduced to the joint source and relay power allocation problem. The efficiency of both proposed algorithms is verified through simulation.
  • Keywords
    MIMO communication; concave programming; least mean squares methods; multi-access systems; precoding; AF MIMO two-way relay systems; MMSE criterion; amplify-and-forward MIMO two-way relay systems; broadcast phase; joint source precoding designs; minimum mean-square-error criterion; multiple access phase; nonconvex optimization problem; relay power allocation problem; relay precoding designs; Antennas; Argon; Joints; MIMO; Optimization; Peer to peer computing; Relays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2011 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-61284-232-5
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/icc.2011.5962967
  • Filename
    5962967