Congestion Control for Cognitive Multi-channel Wireless Mesh Networks
Wireless mesh networks that are becoming popular as Internet back-bones suffer interference from various wireless devices operating on ISM bands as well as their own mesh nodes. Promising multi-channel and multi-radio cognitive wireless mesh networks should avoid such interference effectively by scavenging less loaded channels dynamically using periodic spectrum sensing and distributed channel selection algorithm. In this paper, we study a congestion control problem in cognitive multi-channel wireless mesh networks. We first identify two inherent constraints which are specific to multi-channel multi-radio wireless mesh networks and primary user interference. We then formulate a congestion control problem based on the well-known network utility maximization (NUM) framework, solve the problem in a distributed manner, and demonstrate the convergence of flow rates.
KeywordsCognitive multi-channel wireless network Congestion control Utility maximization.
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2012R1A1A2008478).
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