• DocumentCode
    3014883
  • Title

    Randomized two-way relay cooperation

  • Author

    Bagheri, Saeed ; Verde, Francesco ; Darsena, Donatella ; Scaglione, Anna

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of California at Davis, Davis, CA, USA
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    877
  • Lastpage
    881
  • Abstract
    In this work we propose a new decentralized coding method to harness the two way relay multiple access efficiency as well as diversity benefits from a group of uncoordinated relays, via a new scheme that we call “randomized two way relay cooperation”. The idea is to combine randomized cooperative coding with the two way relay scheme to attain the formation of the two-way relay channel in an ad-hoc manner, with virtually no overhead. The key idea is that through randomized cooperation the source and destination pair can be unaware of the actual set of relays that are contributing to their two way communication and still rip the benefits of the presence of a relay channel that appears has having a fixed number of antennas. Two decode-and-forward relaying strategies are considered which take up only two time slots. We analyze the performance of these techniques combined with the randomization and calculate the diversity achievable through the system.
  • Keywords
    decode and forward communication; encoding; multi-access systems; random codes; antennas; decentralized coding; decode-and-forward relaying; diversity benefits; randomized cooperation; randomized cooperative coding; randomized two-way relay cooperation; two way relay multiple access efficiency; two-way relay channel; uncoordinated relays; Bayesian methods; Encoding; Interference cancellation; Joints; Random variables; Relays; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-9722-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2010.5757693
  • Filename
    5757693