Joint Routing and Scheduling in WiMAX-Based Mesh Networks

被引:11
作者
El-Najjar, Jad [1 ]
Assi, Chadi [2 ]
Jaumard, Brigitte [2 ]
机构
[1] Concordia Univ, ECE Dept, Montreal, PQ H3G 1M8, Canada
[2] Concordia Inst Informat Syst Engn, Montreal, PQ H3G 1M8, Canada
关键词
WiMAX; wireless networks; network optimization; routing; scheduling;
D O I
10.1109/TWC.2010.07.091551
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The problem of scheduling and routing tree construction in WiMAX/802.16 based mesh networks is not defined in the standard and has thus been the subject to extensive research. We consider the problem of joint routing and scheduling in WiMAX-based mesh networks, with the objective of determining a minimum schedule period that satisfies a given (uplink/downlink) traffic demand. Minimizing the length of a schedule amounts to maximizing the spectrum spatial reuse by activating concurrently as many links. This group of transmission links active concurrently is referred to as the transmission group and refers to the set of wireless links that can simultaneously transmit without violating the signal-to-interference-plus-noise ratio (SINR) requirement. Our model is referred to as maximum spatial reuse (MSR). We assume centralized scheduling at the base station and attempt to maximize the system throughput through appropriate routing tree selection and achieving efficient spectrum reuse through opportunistic link scheduling. We present an ILP optimization model for the joint problem, which relies on the enumeration of all possible link schedules. Given its complexity, we decompose the problem using a column generation (CG) approach. We present two formulations for modeling MSR, namely the link-based (CGLink) and the path-based (CGPath) formulation. These two formulations differ mainly in the number of routing decision variables. Our experimental results indicate that the path-based formulation needs much less computational (CPU) time than the link-based in order to determine the (same) optimal solution with the same spatial reuse gain.
引用
收藏
页码:2371 / 2381
页数:11
相关论文
共 23 条
  • [1] Al-Hemyari Ali, 2008, IIT 2008 International Conference on Innovations in Information Technology, P539, DOI 10.1109/INNOVATIONS.2008.4781702
  • [2] Bicket John, 2005, P 11 ANN INT C MOB C, P31
  • [3] Bjorklund P., 2004, Ad hoc Networks, V2, P405, DOI 10.1016/j.adhoc.2003.09.002
  • [4] CAO M, 2006, P 2 IEEE WORKSH WIR, P101
  • [5] Multi-hop wireless backhaul networks: A cross-layer design paradigm
    Cao, Min
    Wang, Xiaodong
    Kim, Seung-Jun
    Madihian, Mohammad
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2007, 25 (04) : 738 - 748
  • [6] Capone A., 2006, 2006 3rd Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (IEEE Cat. No. 06EX1523), P138, DOI 10.1109/SAHCN.2006.288418
  • [7] Routing, scheduling and channel assignment in Wireless Mesh Networks: Optimization models and algorithms
    Capone, A.
    Carello, G.
    Filippini, I.
    Gualandi, S.
    Malucelli, F.
    [J]. AD HOC NETWORKS, 2010, 8 (06) : 545 - 563
  • [8] Joint routing and scheduling optimization in Wireless Mesh Networks with directional antennas
    Capone, Antonio
    Filippini, Ilario
    Martignon, Fabio
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, PROCEEDINGS, VOLS 1-13, 2008, : 2951 - 2957
  • [9] CHVATAL V, 1983, LINEAR PROGRAMMING F
  • [10] *CPLEX, 2005, USING CPLEX CALLABLE