Energy efficiency optimization for superior selective reporting-based spectrum sensing

摘要

We study the energy efficiency of superior selective reporting (SSR)-based scheme for spectrum sensing in cognitive radio networks. We first derive the achievable throughput, energy consumption and energy efficiency (EE) of the SSR scheme. Later, we propose the maximization of EE for the SSR scheme as a multiple variable non-convex optimization problem and provide approximations to reduce it to a quasi-convex optimization problem. We highlight that the errors due to these approximations are negligible. Through numerical results, we show that the SSR scheme outperforms the conventional schemes that employ the OR and AND fusion rules, in terms of energy efficiency.