Fair Bandwidth Allocation in Wireless Mesh Networks With Cognitive Radios

被引：41

作者：

Tang, Jian ^{[1
]}

Hincapie, Roberto ^{[2
]}

Xue, Guoliang ^{[3
]}

Zhang, Weiyi ^{[4
]}

Bustamante, Roberto ^{[5
]}

机构：

[1] Montana State Univ, Dept Comp Sci, Bozeman, MT 59717 USA

[2] Univ Pontificia Bolivariana, Dept Telecommun Engn, Medellin, Antioquia, Colombia

[3] Arizona State Univ, Dept Comp Sci & Engn, Tempe, AZ 85287 USA

[4] N Dakota State Univ, Dept Comp Sci, Fargo, ND 58105 USA

[5] Univ Los Andes, Dept Elect & Elect Engn, Bogota, DC, Colombia

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2010年 / 59卷 / 03期

基金：

美国国家科学基金会;

关键词：

Bandwidth allocation; cognitive radios; crosslayer optimization; fairness; lexicographical max-min (LMM) fairness; routing; scheduling; spectrum allocation; wireless mesh networks (WMNs);

D O I：

10.1109/TVT.2009.2038478

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：

Wireless mesh networks (WMNs) are considered to be an economical solution for last-mile broadband Internet access. In this paper, we study end-to-end bandwidth allocation in WMNs with cognitive radios, which involves routing, scheduling, and spectrum allocation. To achieve a good tradeoff between fairness and throughput, we define two fair bandwidth-allocation problems based on a simple max-min fairness model and the well-known lexicographical max-min (LMM) fairness model, respectively. We present linear programming (LP)-based optimal and heuristic algorithms to solve both problems. Extensive simulation results are presented to justify the effectiveness of the proposed algorithms.

引用

页码：1487 / 1496

页数：10

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