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Summary: Traffic-Aware Channel Assignment in
Enterprise Wireless LANs
Eric Rozner Yogita Mehta Aditya Akella Lili Qiu
University of Texas at Austin University of Wisconsin at Madison
{erozner,yamehta,lili}@cs.utexas.edu akella@cs.utexas.edu
Abstract-- Campus and enterprise wireless networks are in-
creasingly 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 as-
sign channels statically, without considering prevailing traffic
demands. In this paper, we show that the quality of a chan-
nel assignment can be improved significantly by incorporating
observed traffic demands at APs and clients into the assignment
process. We refer to this as traffic-aware channel assignment.
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 interfer-
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