2nd International ICST Conference on Quality of Service in Heterogeneous Wired/Wireless Networks

Research Article

Utility-based adaptive resource allocation in hybrid wireless networks

  • @INPROCEEDINGS{10.1109/QSHINE.2005.63,
        author={C.  Curescu and  S. Nadjm-Tehrani and Bing Cao  and T.A.  Dahlberg},
        title={Utility-based adaptive resource allocation in hybrid wireless networks},
        proceedings={2nd International ICST Conference on Quality of Service in Heterogeneous Wired/Wireless Networks},
        publisher={IEEE},
        proceedings_a={QSHINE},
        year={2005},
        month={12},
        keywords={},
        doi={10.1109/QSHINE.2005.63}
    }
    
  • C. Curescu
    S. Nadjm-Tehrani
    Bing Cao
    T.A. Dahlberg
    Year: 2005
    Utility-based adaptive resource allocation in hybrid wireless networks
    QSHINE
    IEEE
    DOI: 10.1109/QSHINE.2005.63
C. Curescu1, S. Nadjm-Tehrani1, Bing Cao 1, T.A. Dahlberg1
  • 1: Dept. of Comput. & Inf. Sci., Linkoping Univ.

Abstract

Service availability in wireless networks is highly dependent on efficient resource allocation and guaranteed quality of service (QoS) amid overloads and failures. This paper addresses optimal bandwidth allocation in a hybrid network (cellular and ad hoc), where added reach through an ad hoc overlay is combined with the stability and essential services of a cellular network. The paper builds on a near optimal approach in which resource-utility functions are used as a means of adaptive delivery of QoS, user differentiation, and maximisation of system level utility. It distinguishes between non-adaptive, semi-adaptive, and fully adaptive applications. First, the global cellular bandwidth allocation (in the presence of multiple routes through ad hoc relays) is cast in terms of a linear programming problem. Second, a heuristic algorithm that has far lower computational overhead and accrues at worse 12% less than the utility of the optimal solution is presented. Both algorithms are implemented within a model of a hybrid network on top of the J-Sim simulation environment. Comparative studies are made to show effective load balancing and crash tolerance in the presence of a high traffic overload