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We propose an adaptive radio resource allocation algorithm for cognitive radio underlay networks. The proposed algorithm optimally allocates power and the available subcarriers in an OFDMA environment while ensuring interference leaked to the primary users is below a specific value. We formulate the radio resource allocation problem for cognitive radio network into integer linear programming framework...
Adaptive resource allocation is one of the most challenging tasks for multiuser orthogonal frequency division multiplexing (OFDM) systems. In this paper, two evolutionary approaches, genetic algorithm (GA) and particle swarm optimization (PSO) have been applied for adaptive subcarrier and bit allocations to minimize the overall transmit power of a multiuser OFDM system. Each user will be assigned...
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