CACAO: Distributed Client-Assisted Channel Assignment Optimization for Uncoordinated WLANs
IEEE 802.11 WLANs are becoming more and more popular in homes and urban areas. As compared to traditional WLAN setups (such as in campuses) where knowledgeable network administrators can make centralized decisions on channel selection, Access Points (APs) in these networks are often deployed by network nonspecialists in an uncoordinated manner, leading to unplanned topologies, interference, and therefore unsatisfactory throughput performance. The authors consider in this paper a distributed channel assignment algorithm for uncoordinated WLANs, where APs can self-configure their operating channels to minimize interference with adjacent APs. They first formulate the optimization problem on channel assignment which overcomes some of the weaknesses encountered by uncoordinated WLANs.