Abstract
We study an energy efficiency (EE)-optimized power allocation technique for a source and a relay in a cooperative cognitive radio network. We formulate the optimization problem with the constraint on probabilistic interference parameters and throughput as a fractional programming problem. The problem is quasi-convex, for which a local optimal solution may not be guaranteed as a global optimal solution. Hence, we transform the problem into an equivalent convex programming problem using the Charnes-Cooper transformation technique to obtain an optimal solution. We analyze the channel access probability, EE, and total power performance of the cooperative cognitive green radio network via simulation.
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