Abstract
We consider the radio allocation problem for multi-radio multi-channel cognitive wireless networks, i.e., the optimal placement of radios within the network to maximize the network utility function. This problem is formulated as a large-scale combinatorial optimization problem. We derive the necessary conditions that the optimal solution should satisfy, and then develop a sequential optimization scheme to solve this problem. Simulation studies are carried out to assess the performance of the proposed radio allocation framework. It is seen that the proposed approach can significantly enhance the overall network performance.
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