• DocumentCode
    688137
  • Title

    Capacity gain from receiver cooperation for MIMO broadcast channels

  • Author

    Hongliang Mao ; Wei Feng ; Yukui Pei ; Ning Ge

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2013
  • fDate
    9-13 Dec. 2013
  • Firstpage
    4343
  • Lastpage
    4347
  • Abstract
    While channel state information (CSI) at the transmitter is critical to the system capacity of multiple input multiple output (MIMO) broadcast channels, its acquisition is practically intricate. This paper offers an alternative and investigates a special MIMO broadcast channel, which exploits the benefit of receiver cooperation and renders it unnecessary to acquire CSI at the transmitter. The cooperation gain is studied in a system-wide perspective by taking into account the resource (power and bandwidth) consumed to establish the cooperation links. Built on that, the generalized cooperation spectral efficiency is defined.With a dedicated approximation, a near optimal resource allocation strategy is presented to maximize the cooperation spectral efficiency. Specially, the power allocation problem is simplified into a polynomial rooting problem. Simulation results show that the receiver cooperation can provide a performance gain and achieve the MIMO capacity. Moreover, performance loss incurred by the proposed method is negligible compared to the numerical exhaustive search scheme.
  • Keywords
    MIMO communication; broadcast channels; broadcast communication; channel capacity; numerical analysis; polynomials; radio receivers; radio transmitters; resource allocation; search problems; CSI; MIMO broadcast channel capacity gain; capacity gain; channel state information; generalized cooperation spectral efficiency; multiple input multiple output broadcast channel; numerical exhaustive search scheme; optimal resource allocation strategy; polynomial rooting problem; power allocation problem; receiver cooperation; transmitter; Bandwidth; MIMO; Receivers; Resource management; Signal to noise ratio; Transmitters; MIMO broadcast channel; receiver cooperation; resource allocation; spectral efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2013 IEEE
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2013.6831756
  • Filename
    6831756