• DocumentCode
    1726375
  • Title

    Formation of cooperative cluster for coordinated transmission in multi-cell wireless networks

  • Author

    Jung-Min Moon ; Cho, Dong-ho

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
  • fYear
    2013
  • Firstpage
    528
  • Lastpage
    533
  • Abstract
    Coordinated transmission among multiple base stations (BSs) is widely considered as an efficient method to mitigate inter-cell interference in a multi-cell network. When all BSs in the network join the coordinated transmission by generating a common precoding matrix, the inter-cell interference becomes controllable. However, the complexity involved in the feedback of channel information and the computation of the precoding matrix is significant. So, we propose a cell-clustering algorithm, in which a given network is divided into several cooperative groups of BSs. In the proposed scheme, the BSs in the same cluster periodically transmit a common pilot signal. Then, each user measures the common pilot signal and reports the SINR gain that is expected when its serving cluster merges with one of its neighboring clusters. Finally, a central controller calculates the total improvement in the SINR of all users, selects a pair of clusters that have the highest improvement, and merges them into a new cluster. Simulation results show that the proposed scheme outperforms a conventional static cell-clustering scheme since the proposed scheme adaptively generates a set of clusters for the various geographical distributions of users.
  • Keywords
    cellular radio; cooperative communication; matrix algebra; precoding; radio networks; BS; SINR; central controller; channel information feedback; cooperative cluster formation; coordinated transmission; geographical distributions; inter-cell interference; multicell wireless networks; multiple base stations; precoding matrix; static cell-clustering scheme; Algorithm design and analysis; Array signal processing; Clustering algorithms; Complexity theory; Interference; Signal to noise ratio; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2013 IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4673-3131-9
  • Type

    conf

  • DOI
    10.1109/CCNC.2013.6488494
  • Filename
    6488494