4th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness

Research Article

QoS-Driven Power Control for Downlink Multiuser Communications Over Parallel Fading Channels in Mobile Wireless Networks

  • @INPROCEEDINGS{10.1145/1577222.1577250,
        author={Qinghe Du and Xi Zhang},
        title={QoS-Driven Power Control for Downlink Multiuser Communications Over Parallel Fading Channels in Mobile Wireless Networks},
        proceedings={4th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and  Robustness},
        publisher={ACM},
        proceedings_a={QSHINE},
        year={2007},
        month={8},
        keywords={Multiuser downlink communications resource allocation ef- fective capacity wireless networks optimization.Design Performance.},
        doi={10.1145/1577222.1577250}
    }
    
  • Qinghe Du
    Xi Zhang
    Year: 2007
    QoS-Driven Power Control for Downlink Multiuser Communications Over Parallel Fading Channels in Mobile Wireless Networks
    QSHINE
    ACM
    DOI: 10.1145/1577222.1577250
Qinghe Du1,*, Xi Zhang1,*
  • 1: Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A&M University, College Station, TX 77843, USA
*Contact email: duqinghe@ece.tamu.edu, xizhang@ece.tamu.edu

Abstract

We propose a power adaptation scheme for downlink mul- tiuser communications over parallel fading channels in mo- bile wireless networks. This model can be applied to the case of time division or frequency division downlink transmis- sion over broadcast channels in cellular networks. Speci¯- cally, our proposed scheme aims at optimizing the sum of the weighted e®ective capacity over all users each with a spec- i¯ed statistical delay quality of services (QoS) constraint, called QoS exponent. Using a two-step method, we derive the optimal power adaptation policy for the above problem. Numerical evaluations are also presented to investigate the impact of the delay QoS on optimizing the weighted sum e®ective capacity and that on the power allocation across di®erent users.