• DocumentCode
    1850834
  • Title

    Adaptive OFDM multi-service resource allocation for power line communication

  • Author

    Wang Lei ; Lu Jun ; Qian Mingxia

  • Author_Institution
    Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
  • Volume
    2
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    1406
  • Lastpage
    1409
  • Abstract
    To improve utilization rate of frequency resources and ensure QoS for different users and services, this paper proposed a mixed service resource allocation algorithm for power-line communication. Firstly the multi-user multi-service power line communication is modeled as multi-objective optimization based on OFDM resource allocation. Then the optimization allocation strategy implements priority to ensure the fixed rate for real-time user and the minimum rate for non-real-time user, considering the communication throughput. The proposed algorithm guarantees the requirements in both the fixed rate of real-time user and the minimum rate of non-real-time user at less resource costs, which maximizes the system communication capacity by allocating more resources to non-real-time user. Fairness among users is maintained by scheduling subcarriers based on overall channel conditions. The experiment results illustrate that the proposed method can ensure fairness among different users within different services and achieve better throughput performance.
  • Keywords
    OFDM modulation; carrier transmission on power lines; quality of service; resource allocation; scheduling; OFDM resource allocation; QoS; adaptive OFDM multiservice resource allocation; communication throughput; frequency resources; mixed service resource allocation algorithm; multiobjective optimization; nonreal-time user; optimization allocation strategy; power line communication; real-time user; resource costs; scheduling subcarriers; system communication capacity; OFDM; multiservice; multiuser; power line communication; resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491839
  • Filename
    6491839