3rd International ICST Conference on Quality of Service in Heterogeneous Wired/Wireless Networks

Research Article

Cross-layer-model based adaptive resource allocation for statistical QoS guarantees in mobile wireless networks

  • @INPROCEEDINGS{10.1145/1185373.1185430,
        author={Jia Tang and  Xi  Zhang},
        title={Cross-layer-model based adaptive resource allocation for statistical QoS guarantees in mobile wireless networks},
        proceedings={3rd International ICST Conference on Quality of Service in Heterogeneous Wired/Wireless Networks},
        publisher={ACM},
        proceedings_a={QSHINE},
        year={2006},
        month={8},
        keywords={Wireless networks quality-of-service (QoS) resource allocation power control cross-layer design and optimization effective capacity real-time multimedia delay-bound.},
        doi={10.1145/1185373.1185430}
    }
    
  • Jia Tang
    Xi Zhang
    Year: 2006
    Cross-layer-model based adaptive resource allocation for statistical QoS guarantees in mobile wireless networks
    QSHINE
    ACM
    DOI: 10.1145/1185373.1185430
Jia Tang1,*, 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: jtang@ece.tamu.edu, xizhang@ece.tamu.edu

Abstract

We propose a cross-layer-model based adaptive resource-allocation scheme for the diverse quality-of-service (QoS) guarantees over downlink mobile wireless networks. Our proposed scheme dynamically assigns power-levels and time-slots for heterogeneous real-time mobile users to satisfy the variation of statistical delay-bound QoS requirements. To achieve this goal, we apply effective capacity approach to derive the admission-control and power/time-slot allocation algorithms, guaranteeing the statistical delay-bound for heterogeneous mobile users. When designing such an algorithm, we study the impact of physical-layer issues such as adaptive power-control on the QoS provisioning performance. Through numerical and simulation results, we observe that the adaptive power adaptation has a significant impact on statistical QoS-guarantees. In addition, the analyses indicate that our proposed resource-allocation algorithms are shown to be able to efficiently support the diverse QoS requirements for various real-time mobile users over different wireless channels.