Performance analysis of ONOE protocol—an IEEE 802.11 link adaptation algorithm

Authors:
Jianhua He;Zuoyin Tang;Hsiao-Hwa Chen;Shu Wang
Affiliations:
College of Engineering, Swansea University, Swansea, UK;School of Engineering and Applied Science, Aston University, UK;Department of Engineering Science, National Cheng Kung University, Tainan City, Taiwan;Huazhong University of Science and Technology, Wuhan, China
Venue:
International Journal of Communication Systems
Year:
2012

Citing 3
Cited 0

Performance Analysis and Service Differentiation in IEEE 802.11 WLAN

LCN '03 Proceedings of the 28th Annual IEEE International Conference on Local Computer Networks
Investigation of a cross-layer link adaptation algorithm for IEEE 802.11n networks

Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Collision-Aware Rate Adaptation in multi-rate WLANs: Design and implementation

Computer Networks: The International Journal of Computer and Telecommunications Networking

Quantified Score

Hi-index	0.00

Visualization

Abstract

Link adaptation (LA) plays an important role in adapting an IEEE 802.11 network to wireless link conditions and maximizing its capacity. However, there is a lack of theoretic analysis of IEEE 802.11 LA algorithms. In this article, we propose a Markov chain model for an 802.11 LA algorithm (ONOE algorithm), aiming to identify the problems and finding the space of improvement for LA algorithms. We systematically model the impacts of frame corruption and collision on IEEE 802.11 network performance. The proposed analytic model was verified by computer simulations. With the analytic model, it can be observed that ONOE algorithm performance is highly dependent on the initial bit rate and parameter configurations. The algorithm may perform badly even under light channel congestion, and thus, ONOE algorithm parameters should be configured carefully to ensure a satisfactory system performance. Copyright © 2011 John Wiley & Sons, Ltd.