• DocumentCode
    1704204
  • Title

    Discrete Power Allocation for Lifetime Maximization in Cooperative Networks

  • Author

    Huang, Wan-Jen ; Hong, Yao-Win ; Kuo, C. C Jay

  • Author_Institution
    Univ. of Southern California, Los Angeles
  • fYear
    2007
  • Firstpage
    581
  • Lastpage
    585
  • Abstract
    Discrete power allocation strategies for amplify- and-forward cooperative networks are proposed based on selective relaying methods. The goal of power allocation is to maximize the network lifetime, which is defined as the duration of time for which the outage probability at the destination can be maintained above a certain level. The discrete power levels enable a low cost implementation and a close integration with high speed digital circuits. We propose three power allocation strategies that take into consideration both the channel state information (CSI) and the residual energy information (REI) at each node. By modeling the residual energy of each node as the states of a Markov Chain, we are able to derive the network lifetime analytically by computing the expected number of transitions to the absorbing states, i.e., the energy states for which the outage probability is no longer achievable. The performance of the three strategies are compared through numerical simulations and a significant improvement in network lifetime is shown, when compared with the case considering only the local CSI.
  • Keywords
    Markov processes; radio networks; wireless channels; Markov chain; amplify-and-forward cooperative networks; channel state information; discrete power allocation; high speed digital circuits; network lifetime maximization; residual energy information; selective relaying methods; Channel state information; Computer networks; Costs; Digital circuits; Diversity methods; Energy states; Numerical simulation; Relays; Wireless networks; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2007. VTC-2007 Fall. 2007 IEEE 66th
  • Conference_Location
    Baltimore, MD
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4244-0263-2
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VETECF.2007.132
  • Filename
    4349781