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Researches about multi-radio mesh networks have mostly focused on channel allocation under internal interference. However, the deployment of WMNs in unlicensed bands of dense urban areas imposes many challenges regarding co-existence with residential access points. In this paper, the authors propose Urban-X, which is a first attempt towards a new architecture for multi-radio cognitive mesh networks. They develop a novel channel assignment that reflects channel and residential traffic state of external users to maximize network throughput. They evaluate the approach using an enhancement of the ns-2 simulator. Urban-X demonstrates the feasibility of the approach and show robustness to variation of channel environment and external user traffic.
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