• DocumentCode
    1624313
  • Title

    Joint Scheduling and Power Allocation in Multi-Channel Access Point Networks under QoS Constraints

  • Author

    Luo, Xiang ; Kar, Koushik

  • Author_Institution
    Dept. of Electr., Rensselaer Polytech. Inst., Troy, NY
  • fYear
    2008
  • Firstpage
    2915
  • Lastpage
    2920
  • Abstract
    We consider the joint scheduling and power allocation problem for uplink transmissions in a multichannel access point network, and develop solutions to achieve the maximum system throughput under QoS constraints for each user. In this frame-based multi-channel OFDM system, our goal is to determine when in the frame and on which channels each user should transmit, and how the power of each user should be split across the channels it uses. Our goal is to maximize the overall effective data rate in the network, taking into account variations in channel rates across channels as well as users, while satisfying minimum rate constraints for each user. Although this problem is in general a complex non-linear mixed-integer optimization question, we show that the optimal schedule and power allocation can be computed in polynomial time under a high SINR approximation. Finally we propose and evaluate several simple heuristics for this problem, and show that some of these attain a performance that is very close to the optimum, at fairly low computational cost.
  • Keywords
    OFDM modulation; WiMax; approximation theory; communication complexity; integer programming; multi-access systems; nonlinear programming; quality of service; radio links; scheduling; SINR approximation; WiMax; complex nonlinear mixed-integer optimization; computational cost; effective data rate; frame-based multichannel OFDM system; heuristics; joint scheduling; maximum system throughput; multichannel access point networks; polynomial time; power allocation; quality of service constraints; uplink transmissions; Bandwidth; Computer networks; OFDM; Optimal scheduling; Power engineering computing; Processor scheduling; Quality of service; Resource management; Signal to noise ratio; Throughput;
  • 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.2008.549
  • Filename
    4533585