• DocumentCode
    3338783
  • Title

    A Hybrid Relay Selection Scheme Using Differential Modulation

  • Author

    Song, Lingyang ; Li, Yonghui ; Tao, Meixia ; Vasilakos, Athanasios V.

  • Author_Institution
    Peking Univ., Beijing
  • fYear
    2009
  • fDate
    5-8 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we propose a hybrid relay selection (HRS) scheme in a general cooperative network using differential modulation. In the HRS scheme, when the destination decodes successfully, the relay nodes will remain silent. Otherwise, optimal relay node has to be determined to make an additional transmission. In this process, all the relays are divided into two groups, referred to as an amplify-and-forward (AAF) relay group and a decode-and-forward (DAF) relay group depending on whether they can decode correctly or not. The relay, which has the maximum signal-to-noise ratio (SNR) at the destination, will be selected from both AAF and DAF relay groups. Simulation results show that the proposed relay selection scheme significantly outperforms the conventional AAF selection in terms of both frame error rate (FER) and throughput, and these performance gains considerably grow as the number of relay nodes increases.
  • Keywords
    error statistics; modulation; protocols; relays; amplify-and-forward relay group; cooperative network; decode-and-forward relay group; differential modulation; frame error rate; hybrid relay selection scheme; relay nodes; signal-to-noise ratio; Communications Society; Decoding; Error analysis; Frame relay; Peer to peer computing; Performance gain; Protocols; Signal to noise ratio; System performance; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference, 2009. WCNC 2009. IEEE
  • Conference_Location
    Budapest
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4244-2947-9
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2009.4917507
  • Filename
    4917507