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In this work, we consider a multi-hop cognitive radio network with multiple flows. The challenges induced by the random behaviors of the primary users are investigated in a stochastic network utility maximization framework. To fully utilize the scarce network resource, we propose an optimal traffic splitting scheme for each source node to explore multiple paths effectively. In addition, the algorithm...
In this paper, a new variant of the standard knapsack problem is investigated and applied in cognitive radio networks. More specifically, the centralized spectrum allocation in cognitive radio networks is formulated as a multiple multidimensional knapsack problem. We propose an exact solution and a heuristic algorithm with guaranteed performance. The performance of the proposed algorithms are compared...
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