• DocumentCode
    2968888
  • Title

    End-To-End HARQ in Cognitive Radio Networks

  • Author

    Ao, Weng-Chon ; Chen, Kwang-Cheng

  • Author_Institution
    Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2010
  • fDate
    18-21 April 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Cognitive radio networks (CRN) may greatly enhance the throughput based on a given bandwidth. CRN has a unique feature, consisting of uni-directional opportunistic wireless links, and packets may be cooperatively relayed from source node to destination node through one or multiple paths, while each path consists of multi-hop opportunistic wireless fading links. Effective end-to-end error control is therefore a must to complete transportation of packets in CRN, though not being touched in open literatures. Traditional ARQ cannot generally function over uni-directional opportunistic links. We consequently develop a novel hybrid ARQ based on amplify-and-forward cooperative relay of CRN to reach the purpose of end-to-end error control at session level. Multiple coded sub- packets are sent through multiple paths, and the destination node decodes these received coded sub- packets from different paths. This HARQ for CRN works even missing some coded sub-packets. By the concept of outage, we also study allocation of coded sub-packets on multiple paths in an information theoretical view and develop a coding rate adaptation scheme for CRN such that end-to-end error control is possible.
  • Keywords
    Automatic repeat request; Cognitive radio; Decoding; Diversity reception; Error correction; Forward error correction; Peer to peer computing; Redundancy; Relays; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2010 IEEE
  • Conference_Location
    Sydney, Australia
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4244-6396-1
  • Type

    conf

  • DOI
    10.1109/WCNC.2010.5506263
  • Filename
    5506263