• DocumentCode
    2296414
  • Title

    Clustering methods for base station cooperation

  • Author

    Zhao, Jian ; Lei, Zhongding

  • Author_Institution
    Inst. for Infocomm Res., A*STAR, Singapore, Singapore
  • fYear
    2012
  • fDate
    1-4 April 2012
  • Firstpage
    946
  • Lastpage
    951
  • Abstract
    When the joint processing technique is applied in the coordinated multipoint (CoMP) transmission downlink, the user data for each mobile station (MS) needs to be distributed among multiple base stations (BSs), which incurs the exchange of user data via the backhaul. In order to alleviate the requirement on the backhaul capacity, we propose to minimize the exchange of user data among the BSs, subject to certain QoS requirements and power constraints. We formulate this problem into an l0-“norm” minimization problem, and propose two heuristic methods to solve it. Simulations show that both methods can significantly reduce the data exchange among BSs in the backhaul, only at the cost of marginal increase in the sum transmit power at the BSs.
  • Keywords
    channel capacity; cooperative communication; data communication; minimisation; mobile radio; pattern clustering; quality of service; radio links; QoS; backhaul capacity; base station cooperation; clustering method; coordinated multipoint transmission downlink; data exchange; heuristic method; joint processing technique; minimization problem; mobile station; power constraint; power transmission; Array signal processing; Clustering algorithms; Downlink; Interference; Joints; Signal to noise ratio; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2012 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-0436-8
  • Type

    conf

  • DOI
    10.1109/WCNC.2012.6214511
  • Filename
    6214511