• DocumentCode
    1694416
  • Title

    Joint Route and Power Allocation in Cooperative-Multihop Networks

  • Author

    Si, JiangBo ; Li, Zan ; Liu, Zengji ; Lu, Xiaofeng

  • Author_Institution
    State Key Lab. of Integrated Services Networks, Xidian Univ., Xi´´an
  • fYear
    2008
  • Firstpage
    114
  • Lastpage
    118
  • Abstract
    In this paper, we address the problem of joint optimization of route and power allocation in cooperative- multihop networks, where a source node wants to transmit a sequence of messages to a single destination node out of the range of direct transmission. We first study the optimal power allocation between the single source node and single relay with DF (decode and forward) protocol in multihop transmission. Then under the assumption that intermediate node can adaptively select transmission scheme between DT(direct transmission) and DF , a heuristic algorithm is proposed to find a good route and allocate power efficiently for the minimum outage probability with a given power budget. Finally, our simulation results show that cooperative-multihop transmission outperforms the non-cooperative-multihop transmission, and the proposed algorithm can achieve lower outage probability compared to the equal power allocation with shortest path.
  • Keywords
    diversity reception; minimisation; probability; radio spectrum management; routing protocols; DF protocol; cooperative-multihop networks; decode-and-forward protocol; destination node; end-to-end outage probability minimization; heuristic algorithm; joint optimization problem; joint route-power allocation; multihop diversity; multihop transmission scheme; source node; Broadcasting; Decoding; Diversity reception; Heuristic algorithms; Intserv networks; Power system modeling; Protocols; Relays; Spread spectrum communication; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems for Communications, 2008. ICCSC 2008. 4th IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1707-0
  • Electronic_ISBN
    978-1-4244-1708-7
  • Type

    conf

  • DOI
    10.1109/ICCSC.2008.31
  • Filename
    4536723