• DocumentCode
    480091
  • Title

    Adaptive Power Allocation for Multi-hop OFDM System with Non-regenerative Relaying

  • Author

    Shi, Jie ; Wu, Weiling

  • Author_Institution
    Key Lab. of Inf. Process. & Intell. Technol., Beijing Univ. of Post & Telecommun., Beijing
  • Volume
    3
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    1077
  • Lastpage
    1080
  • Abstract
    This paper aims to improve capacity in multi-hop OFDM system with non-regenerative relaying based on power allocation. The capacity model is presented, power allocation is analyzed based on the subsignal tuned to subcarrier of OFDM. Power allocation is decomposed to two subproblems. The first subproblem is the optimal power allocation to every hop of subsignal, when the power of each subsignal is fixed, an algorithm with low computing complexity is expressed to get optimal solution. The second subproblem is the power allocation to every subsignal, a suboptimal greedy algorithm is proposed based on the solution from the first subproblem. Compared with the usual equal power allocation method, the simulation result shows that proposed power allocation could improve system capacity greatly. With the subcarrier selection expressed in this paper, the system capacity is further improved.
  • Keywords
    OFDM modulation; channel allocation; channel capacity; computational complexity; greedy algorithms; resource allocation; adaptive power allocation; channel capacity; computational complexity; multihop OFDM system; nonregenerative relaying; suboptimal greedy algorithm; Information processing; Laboratories; OFDM; Optimization methods; Power system modeling; Power system relaying; Relays; Resource management; Spread spectrum communication; Wireless mesh networks; multi-hop relaying; non-regenerative relaying; power allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.796
  • Filename
    4722528