Traffic-Aware Channel Assignment in Enterprise Wireless LANs Export

@inproceedings{rozner:assignment, abstract = {Campus and enterprise wireless networks are increasingly characterized by ubiquitous coverage and rising traffic demands. Efficiently assigning channels to access points (APs) in these networks can significantly affect the performance and capacity of the WLANs. The state-of-the-art approaches assign channels statically, without considering prevailing traffic demands. In this paper, we show that the quality of a channel assignment can be improved significantly by incorporating observed traffic demands at APs and clients into the assignment process. We refer to this as <i>traffic-aware channel assignment</i>. We conduct extensive trace-driven and synthetic simulations and identify deployment scenarios where traffic-awareness is likely to be of great help, and scenarios where the benefit is minimal. We address key practical issues in using traffic-awareness, including measuring an interference graph, handling non-binary interference, collecting traffic demands, and predicting future demands based on historical information. We present an implementation of our assignment scheme for a 25-node WLAN testbed. Our testbed experiments show that traffic-aware assignment offers superior network performance under a wide range of real network configurations. On the whole, our approach is simple yet effective. It can be incorporated into existing WLANs with little modification to existing wireless nodes and infrastructure.}, author = {Rozner, E. and Mehta, Y. and Akella, A. and Qiu, Lili}, booktitle = {Network Protocols, 2007. ICNP 2007. IEEE International Conference on}, citeulike-article-id = {5319298}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ICNP.2007.4375844}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4375844}, doi = {10.1109/ICNP.2007.4375844}, journal = {Network Protocols, 2007. ICNP 2007. IEEE International Conference on}, keywords = {channel, crawdad, dartmouth\_campus, enterprise, ibm\_watson, management, wireless-lan, wlan}, pages = {133--143}, posted-at = {2009-08-01 10:43:01}, priority = {2}, title = {Traffic-Aware Channel Assignment in Enterprise Wireless LANs}, url = {http://dx.doi.org/10.1109/ICNP.2007.4375844}, year = {2007} }

TY - CONF ID - rozner:assignment L3 - citeulike-article-id:5319298 N2 - Campus and enterprise wireless networks are increasingly characterized by ubiquitous coverage and rising traffic demands. Efficiently assigning channels to access points (APs) in these networks can significantly affect the performance and capacity of the WLANs. The state-of-the-art approaches assign channels statically, without considering prevailing traffic demands. In this paper, we show that the quality of a channel assignment can be improved significantly by incorporating observed traffic demands at APs and clients into the assignment process. We refer to this as <i>traffic-aware channel assignment</i>. We conduct extensive trace-driven and synthetic simulations and identify deployment scenarios where traffic-awareness is likely to be of great help, and scenarios where the benefit is minimal. We address key practical issues in using traffic-awareness, including measuring an interference graph, handling non-binary interference, collecting traffic demands, and predicting future demands based on historical information. We present an implementation of our assignment scheme for a 25-node WLAN testbed. Our testbed experiments show that traffic-aware assignment offers superior network performance under a wide range of real network configurations. On the whole, our approach is simple yet effective. It can be incorporated into existing WLANs with little modification to existing wireless nodes and infrastructure. JF - Network Protocols, 2007. ICNP 2007. IEEE International Conference on EP - 143 TI - Traffic-Aware Channel Assignment in Enterprise Wireless LANs T2 - Network Protocols, 2007. ICNP 2007. IEEE International Conference on SP - 133 KW - channel KW - crawdad KW - dartmouth_campus KW - enterprise KW - ibm_watson KW - management KW - wireless-lan KW - wlan AU - Rozner, E AU - Mehta, Y AU - Akella, A AU - Qiu, Lili PY - 2007/// UR - http://dx.doi.org/10.1109/ICNP.2007.4375844 ER -