Throughput Maximization in Cognitive Radio Based Wireless Mesh Networks
Cognitive radio is a key technology needed to better utilize the available spectrum more efficiently. In this paper, the authors consider the throughput optimization problem via spectrum allocation in the Cognitive Radio based Wireless Mesh Networks (CR-based WMNs). Unlike prior research, they consider both the lower layer noncontinuous OFDM features and the physical interference model in designing their solution. They model the problem as a Mixed Integer Non-Linear Programming (MINLP) problem and show it to be NP-hard. Both a centralized and a localized approximation solution are provided to the problem. Their solution also includes a power information collection process to mitigate the effects of the propagation gain of power as well as a post-allocation adjustment process.