Joint Design Of Energy Efficient Sensing Access Strategy In Opportunistic Spectrum Access

A novel energy efficient opportunistic spectrum access strategy was proposed to solve the energy constrain issue of a secondary user in non-slots cognitive radio network, in which a secondary user sensed the channels licensed to some primary users sequentially before it decided to transmit. To maximize energy efficiency the algorithm can make the secondary user specify the optimal channel sensing time and transmission power to be used upon transmission. During power control process, packet length to be transmitted of the secondary use was considered to regulate the transmission power adaptively. Nonlinear fractional programming problem can be converted into a linear programming problem, thus obtaining the maximum energy efficiency by Binary Search algorithm. Simulation results indicate that the proposed strategy can achieve the tradeoff between the sensing performance and sensing overhead and efficiently improve the energy efficiency of the secondary user.