Fair bandwidth allocation in wireless mesh networks with cognitive radios

Jian Tang; Roberto Hincapié; Guoliang Xue; Weiyi Zhang; Roberto Bustamante

doi:10.1109/TVT.2009.2038478

Fair bandwidth allocation in wireless mesh networks with cognitive radios

Jian Tang
, Roberto Hincapié
, Guoliang Xue
, Weiyi Zhang
, Roberto Bustamante

Research output: Contribution to scientific journal › Article in an indexed scientific journal › peer-review

52 Scopus citations

Abstract

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 maxmin fairness model and the well-known lexicographical maxmin (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.

Original language	English
Article number	5353654
Pages (from-to)	1487-1496
Number of pages	10
Journal	IEEE Transactions on Vehicular Technology
Volume	59
Issue number	3
DOIs	https://doi.org/10.1109/TVT.2009.2038478
State	Published - Mar 2010

Bibliographical note

Funding Information:
Manuscript received May 8, 2009; revised August 28, 2009 and October 15, 2009. First published December 15, 2009; current version published March 19, 2010. This work was supported in part by the National Science Foundation under Grant CNS-0721803, Grant CNS-0721880, Grant CNS-0845776, and Grant CNS-0905603. The review of this paper was coordinated by Prof. Y. Cheng.

Keywords

Bandwidth allocation
Cognitive radios
Crosslayer optimization
Fairness
Lexicographical maxmin (LMM) Fairness
Routing, scheduling
Spectrum allocation
Wireless mesh networks (WMNs)

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10.1109/TVT.2009.2038478

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title = "Fair bandwidth allocation in wireless mesh networks with cognitive radios",

abstract = "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 maxmin fairness model and the well-known lexicographical maxmin (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.",

keywords = "Bandwidth allocation, Cognitive radios, Crosslayer optimization, Fairness, Lexicographical maxmin (LMM) Fairness, Routing, scheduling, Spectrum allocation, Wireless mesh networks (WMNs)",

author = "Jian Tang and Roberto Hincapi{\'e} and Guoliang Xue and Weiyi Zhang and Roberto Bustamante",

note = "Funding Information: Manuscript received May 8, 2009; revised August 28, 2009 and October 15, 2009. First published December 15, 2009; current version published March 19, 2010. This work was supported in part by the National Science Foundation under Grant CNS-0721803, Grant CNS-0721880, Grant CNS-0845776, and Grant CNS-0905603. The review of this paper was coordinated by Prof. Y. Cheng.",

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AU - Xue, Guoliang

AU - Zhang, Weiyi

AU - Bustamante, Roberto

N1 - Funding Information: Manuscript received May 8, 2009; revised August 28, 2009 and October 15, 2009. First published December 15, 2009; current version published March 19, 2010. This work was supported in part by the National Science Foundation under Grant CNS-0721803, Grant CNS-0721880, Grant CNS-0845776, and Grant CNS-0905603. The review of this paper was coordinated by Prof. Y. Cheng.

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N2 - 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 maxmin fairness model and the well-known lexicographical maxmin (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.

AB - 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 maxmin fairness model and the well-known lexicographical maxmin (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.

KW - Bandwidth allocation

KW - Cognitive radios

KW - Crosslayer optimization

KW - Fairness

KW - Lexicographical maxmin (LMM) Fairness

KW - Routing, scheduling

KW - Spectrum allocation

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M3 - Artículo en revista científica indexada

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SN - 0018-9545

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EP - 1496

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

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M1 - 5353654

ER -

Fair bandwidth allocation in wireless mesh networks with cognitive radios

Abstract

Bibliographical note

Keywords

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