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Computer Communications
Volume 29, Issue 17, 8 November 2006, Pages 3455-3466
Energy Efficient Scheduling and MAC for Sensor Networks, WPANs, WLANs, WMANs
 
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doi:10.1016/j.comcom.2006.01.028    
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Copyright © 2006 Elsevier B.V. All rights reserved.

Nonlinear optimization for energy efficiency in IEEE 802.11a wireless LANs

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Jian Liua, E-mail The Corresponding Author, Dongfeng Yuana, Corresponding Author Contact Information, E-mail The Corresponding Author, Song Cib, E-mail The Corresponding Author and Yingji Zhonga

aSchool of Information Science and Engineering, Shandong University, Jinan, Shandong 250100, PR China

bDepartment of Computer Science, University of Massachusetts, Boston, MA 02125, USA


Available online 20 March 2006.

Abstract

Link-adaptation scheme has been recognized as an effective way to improve the performance of energy efficiency of the IEEE 802.11a wireless local-area networks (WLANs). In this paper, we propose a new link-adaptation scheme for energy efficiency by dynamically adjusting the data transmission rate according to network load and channel quality. We first give an overview of the IEEE 802.11a orthogonal frequency domain multiplexing (OFDM) physical layer and the distributed coordination function (DCF) of the IEEE 802.11 MAC. Then, based on the theoretical goodput analysis, we proposed a new method to enhance the energy efficiency via optimizing the goodput performance using nonlinear optimization with constraints. Despite the nonlinearity in the objective function and the constraints, we show that the energy efficiency optimization can be efficiently solved for global optimality through a convex optimization technique. Our simulation results show that our link-adaptation scheme enhances the energy efficiency as well as the goodput performance of an IEEE 802.11a wireless LAN through dynamic frame length control, contention window (CW) selection, and PHY rate selection, depending on the wireless channel condition. Moreover, the proposed scheme can be extended to address some similar problems in other kinds of networks, such as congestion control, admission control, and power control.

Keywords: IEEE 802.11 MAC; IEEE 802.11a PHY; Energy efficiency; Link adaptation; Convex function; Nonlinear optimization

Article Outline

1. Introduction
1.1. Related work
1.2. Organization
2. System overview
2.1. IEEE 802.11a PHY/MAC layer
2.2. Packet error probability analysis of IEEE 802.11a PHY
2.3. MAC layer overheads
3. Enhanced MPDU-based Scheme
3.1. Goodput Analysis
3.2. Enhancement MPDU-based link-adaptation scheme
3.3. The optimization algorithm during runtime
4. Performance evaluation
4.1. Performance evaluation
4.2. Implementation of the proposed link adaptation
5. Conclusions
Acknowledgements
References
Vitae












Corresponding Author Contact InformationCorresponding author. Tel./fax: +86531 88364106.

Computer Communications
Volume 29, Issue 17, 8 November 2006, Pages 3455-3466
Energy Efficient Scheduling and MAC for Sensor Networks, WPANs, WLANs, WMANs
 
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