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, we propose Urban-X, which is a first attempt towards a new architecture for MultiRadio Cognitive Mesh Networks. We develop a novel channel assignment that reflects channel and residential traffic state of external users to maximize network throughput. We evaluate our approach using an enhancement of the ns-2 simulator. Urban-X demonstrate the feasibility of our approach and show robustness to variation of channel environment and external user traffic.
Wooseong Kim, Andreas J. Kassler, Marco Di Felice,