• DocumentCode
    1573734
  • Title

    Cooperative OFDMA resource allocation for multi-QoS guarantee: A cross-layer utility scheduling approach

  • Author

    Teng, Yinglei ; Song, Mei ; Niu, Fang ; Chen, Guangquan ; Song, Junde

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2009
  • Firstpage
    267
  • Lastpage
    272
  • Abstract
    We investigate a multi-user multi-service scheduling scheme in the OFDMA based two-hop cooperative relay network, which aims at the cooperative resource allocation in this paper. We propose an adaptive Aggregated Utility Function (AU-Function) as the optimization objective, which simultaneously takes various multi-service QoS requirement and fairness among different services into consideration. We format the utility function into a several QoS parameters captured form, including rate, delay, jitter and Packet Loss Ratio (PLR) of services, which combines the QoS requirement well. Then, the complex resource allocation is decoupled into a joint relay-subcarrier selection and power allocation problem. Simulation results confirm that the proposed algorithm achieves an efficient balance among rate, delay, PLR, etc., and show that the users´ QoS can be evaluated adoptively by the full dimensional utility consideration.
  • Keywords
    channel allocation; frequency division multiple access; quality of service; adaptive aggregated utility function; cooperative OFDMA resource allocation; cooperative relay network; cross layer utility scheduling approach; multi QoS guarantee; multi-user multiservice scheduling; optimization objective; power allocation; relay subcarrier selection; Delay; Elasticity; Fading; Jitter; MIMO; Power system relaying; Relays; Resource management; System performance; Traffic control; AU-Function; cooperative relay; multi-service; resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing (JCPC), 2009 Joint Conferences on
  • Conference_Location
    Tamsui, Taipei
  • Print_ISBN
    978-1-4244-5227-9
  • Electronic_ISBN
    978-1-4244-5228-6
  • Type

    conf

  • DOI
    10.1109/JCPC.2009.5420177
  • Filename
    5420177