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In this paper, we study the problem of graph coloring and propose a novel particle swarm optimization (PSO) algorithm for it. We use the PSO evolutionary progress to improve a simple deterministic greedy algorithm. The new algorithm can achieve a result that is better than known heuristic algorithms do, as verified by an extensive simulation study.
In cognitive radio networks, the secondary users (SUs) are allowed to use the spectrum originally allocated to primary users (PUs) as long as the PUs are not using it temporarily. This operation is called opportunistic spectrum access (OSA), and it is assisted through spectrum sensing. In distributed OSA, the SUs sense the channel independently; once the channel is available, they contend for channel...
For a spectrum sharing environment, where an unlicensed (secondary) user coexists with a licensed (primary) user, we study the performance of the multiantenna transmission scheme that combines orthogonal space-time block coding with transmit eigen-beamforming. The objective is to minimize a tight bound on the symbol error rate of the secondary user subject to two practical constraints: maximum transmit...
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