Hybrid Spectrum Sensing Based Power Control for Energy Efficient Cognitive Small Cell Network

Cognitive radio enabled small cell network is an emerging technology to address the exponentially increasing mobile traffic demand of next generation mobile communications. Recently, many technological issues pertaining to cognitive small cell network have been studied, such as resource allocation, but most studies focus on spectral efficiency maximization. Different from the existing works, we investigate the power control and sensing time optimization problem in cognitive small cell, where imperfect hybrid spectrum sensing and energy efficiency are considered. The energy efficient sensing time and power allocation optimization is modeled as a non-convex optimization problem. We solve the problem in asymptotically optimal manner. An iterative power control algorithm and a near optimal sensing time scheme are developed with the consideration of imperfect hybrid spectrum sensing and energy efficiency. Simulation results are presented to verify the effectiveness of the proposed algorithms for energy efficient resource allocation in cognitive small cell network.