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CLC number: TN92

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 0000-00-00

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Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.1 P.18-23

http://doi.org/10.1631/jzus.2007.A0018


Performance analysis of IEEE 802.11e EDCA in wireless LANs


Author(s):  ZHANG Wei, SUN Jun, LIU Jing, ZHANG Hai-bin

Affiliation(s):  Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; more

Corresponding email(s):   zh.wei@sjtu.edu.cn

Key Words:  IEEE 802.11e, Saturation assumption, Non-saturation assumption, Enhanced distributed channel access (EDCA)


ZHANG Wei, SUN Jun, LIU Jing, ZHANG Hai-bin. Performance analysis of IEEE 802.11e EDCA in wireless LANs[J]. Journal of Zhejiang University Science A, 2007, 8(1): 18-23.

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Abstract: 
In this paper, we propose an analytical model for the performance evaluation of IEEE 802.11e enhanced distributed channel access (EDCA). Different from most previous analytical studies based on the saturation assumption, we extend the analytical model to non-saturation conditions. An empty state is introduced into the Markov chain to represent the status of transmission queue being empty. This model can be used to calculate the traffic priority, throughput, and MAC layer delay with various configurations of contention parameters. A detailed simulation is provided to validate the proposed model. With the help of this model, the contention parameters can be configured appropriately to achieve specific quality-of-service (QoS) requirements.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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[2] Engelstad, P.E., Østerbø, O.N., 2005b. Delay and Throughput Analysis of IEEE 802.11e EDCA with Starvation Prediction. Proceedings of the IEEE Conference on Local Computer Networks, p.647-655.

[3] Engelstad, P.E., Østerbø, O.N., 2005c. Non-saturation and Saturation Analysis of IEEE 802.11e EDCA with Starvation Prediction. Proceedings of the 8th ACM International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems. Montreal, Canada, p.224-233.

[4] Engelstad, P.E., Østerbø, O.N., 2006a. Queueing Delay Analysis of 802.11e EDCA. Proceedings of the 3rd Annual Conference on Wireless on Demand Network Systems and Services. Les Menuires, France.

[5] Engelstad, P.E., Østerbø, O.N., 2006b. Analysis of the Total Delay of IEEE 802.11e EDCA. Proceedings of the IEEE International Conference on Communications. Istanbul, Turkey.

[6] Hui, J., Devetsikiotis, M., 2005. A unified model for the performance analysis of IEEE 802.11e EDCA. IEEE Trans. Commun., 53(9):1498-1510.

[7] IEEE 802.11 WG, 2005. Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specification, Amendment 8: Medium Access Control (MAC) Quality of Service Enhancements.

[8] Kong, Z., Tsang, D.H.K., Bensaou, B., Gao, D.Y., 2004. Performance analysis of IEEE 802.11e contention-based channel access. IEEE J. Select. Areas Commun., 22(10):2095-2106.

[9] Xiao, Y., 2005. Performance analysis of priority schemes for IEEE 802.11 and IEEE 802.11e wireless LANs. IEEE Trans. Wirel. Commun., 4(4):1506-1515.

[10] Zhai, H.Q., Kwon, Y., Fang, Y.G., 2004. Performance analysis of IEEE 802.11 MAC protocols in wireless LANs. Wireless Commun. Mob. Comput. 4(8):917-931.

[11] Zhai, H.Q., Chen, X., Fang, Y.G., 2005. How well can the IEEE 802.11 wireless LAN support quality of service? IEEE Trans. Wirel. Commun., 4(6):3084-3094.

[12] Zhang, W., Sun, J., Liu, J., Zhang, H.B., 2006. Performance analysis for IEEE 802.11e EDCA. IEICE Trans. Commun., in press.

[13] Zhu, H., Chlamtac, I., 2005. Performance analysis for IEEE 802.11e EDCF service differentiation. IEEE Trans. Wirel. Commun., 4(4):1779-1788.

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