Group-based medium access for next-generation wireless LANs

Recently, there has been extensive research interest in increasing the data rates supported by IEEE 802.11 wireless LANs. For this purpose, IEEE 802.11 formed Task Group N to develop specifications for high-data-rate wireless LANs. The medium access in the legacy 802.11 is not scalable as it exhibits a large control overhead when the data rates increase and a large collision rate when the number of stations is large. In this paper, we introduce a group-based medium access control (GMAC) protocol for wireless LANs with high data rates and a large number of stations. With GMAC, stations are divided into groups that are free of hidden nodes. Each group has a leader and only group leaders contend using CSMA/CA. Once a group leader wins the contention, it reserves transmission time for all the stations in its group and issues a polling packet specifying the group's schedule. Stations in the same group transmit after their leader according to the polling packet. GMAC achieves significant throughput gain over DCF by reducing the collision rate and the control overhead. Simulation studies show that GMAC maintains a high throughput as the data rates and the number of stations increase

[1]  Sunghyun Choi,et al.  EBA: an enhancement of the IEEE 802.11 DCF via distributed reservation , 2005, IEEE Transactions on Mobile Computing.

[2]  Youngsoo Kim,et al.  A high-throughput MAC strategy for next-generation WLANs , 2005, Sixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks.

[3]  William A. Arbaugh,et al.  High-performance MAC for high-capacity wireless LANs , 2004, Proceedings. 13th International Conference on Computer Communications and Networks (IEEE Cat. No.04EX969).

[4]  Robert A. Scholtz,et al.  Performance Analysis of , 1998 .

[5]  Martin Heusse,et al.  Performance anomaly of 802.11b , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[6]  A. Girotra,et al.  Performance Analysis of the IEEE 802 . 11 Distributed Coordination Function , 2005 .

[7]  Ioannis N. Psaromiligkos,et al.  Received signal strength based location estimation of a wireless LAN client , 2005, IEEE Wireless Communications and Networking Conference, 2005.

[8]  Sanjiv Nanda,et al.  802.11n MAC design and system performance , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[9]  Paramvir Bahl,et al.  RADAR: an in-building RF-based user location and tracking system , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[10]  Yang Xiao,et al.  Performance analysis and enhancement for the current and future IEEE 802.11 MAC protocols , 2003, MOCO.

[11]  Youngsoo Kim,et al.  Revisit of RTS/CTS exchange in high-speed IEEE 802.11 networks , 2005, Sixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks.

[12]  Fouad A. Tobagi,et al.  Throughput analysis of IEEE 802.11 wireless LANs using an average cycle time approach , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[13]  John V. Guttag,et al.  Time-based Fairness Improves Performance in Multi-Rate WLANs , 2004, USENIX Annual Technical Conference, General Track.

[14]  A. S. Krishnakumar,et al.  Bayesian indoor positioning systems , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..