A capacity analysis for the IEEE 802.11 MAC protocol
Wireless Networks
Quality of service schemes for IEEE 802.11 wireless LANs: an evaluation
Mobile Networks and Applications
Performance Analysis and Service Differentiation in IEEE 802.11 WLAN
LCN '03 Proceedings of the 28th Annual IEEE International Conference on Local Computer Networks
A survey of QoS enhancements for IEEE 802.11 wireless LAN: Research Articles
Wireless Communications & Mobile Computing
Proportional control and deterministic protection of QoS in IEEE 802.11e wireless LAN
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Mobile Networks and Applications
Throughput analysis and optimal configuration of 802.11e EDCA
Computer Networks: The International Journal of Computer and Telecommunications Networking
Performance analysis of priority schemes for IEEE 802.11 and IEEE 802.11e wireless LANs
IEEE Transactions on Wireless Communications
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Saturation throughput analysis of IEEE 802.11e enhanced distributed coordination function
IEEE Journal on Selected Areas in Communications
A case for relative differentiated services and the proportional differentiation model
IEEE Network: The Magazine of Global Internetworking
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In this paper, we determine class specific optimal minimum contention window (CWmin) values that simultaneously maximizes aggregate saturation throughput and provides proportional throughput differentiation meeting deterministic target throughput ratios among multiple priority classes in IEEE 802.11 wireless LAN (WLAN). We show that, with the current default CWmin setting, IEEE 802.11e Enhanced Distributed Channel Access (EDCA) cannot provide satisfactory throughput differentiation among multiple priority classes. Compared to EDCA, the proportional throughput differentiation can provide consistent and adjustable differentiation among different service classes. With these optimal CWmin values, the aggregate throughput remains maximum and insensitive to the number of active nodes in the network, thus improving the scalability of the protocol.