• DocumentCode
    1632098
  • Title

    End-to-End Outage Probability Minimization in OFDM Based Linear Multi-Hop Networks

  • Author

    Zhang, Xiaolu ; Tao, Meixia ; Jiao, Wenhua ; Ng, Chun Sum

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
  • fYear
    2008
  • Firstpage
    4559
  • Lastpage
    4563
  • Abstract
    This paper is concerned with the end-to-end transmission outage in an OFDM based wireless multi-hop network. The network consists of a source node, a destination node, and a set of serial relay nodes. Transmission outage occurs when the end-to-end transmission rate is less than a target rate. Our goal is to find an optimal power and time control policy to minimize the outage probability at a target end-to-end data rate under a long-term total power constraint. The problem is solved in two steps. First, for any given channel realization, we derive the minimum total power required to meet the target rate by varying the transmission power and time allocated to each hop. This is formulated as a convex optimization problem and is solved efficiently. We then compare the required minimum total power for each channel realization with a power threshold. If the threshold is exceeded, the transmission is turned off. The optimal threshold is chosen to meet the long-term total power constraint. Two suboptimal power and time control policies are also presented and compared with the optimal policy by simulation.
  • Keywords
    OFDM modulation; optimisation; wireless channels; OFDM; channel realization; convex optimization problem; end-to-end outage probability minimization; linear multi-hop networks; suboptimal power control; suboptimal time control; wireless multi-hop network; Mesh networks; OFDM; Optimal control; Peer to peer computing; Power system relaying; Relays; Resource management; Spread spectrum communication; Wireless LAN; Wireless mesh networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.855
  • Filename
    4533891