Energy Efficiency of Cooperative Spectrum Sensing Under Sensing Delay Constraint for CUAVNs
Jia Zhang, Jun Wu, Jipeng Gan, Ze Chen, Jiangtao He, Zehao Chen
Abstract
In order to solve the shortage of unmanned aerial vehicles (UAVs) spectrum resources, cooperative spectrum sensing (CSS) is applied to identify the underutilized spectrums in cognitive UAV networks (CUAVNs). However, the UAV’s location flexibility makes the detection performance unstable, especially under the fixed sensing delay constraint, and limits or even damages the available spectrum resources, resulting in a significant degradation of spectrum efficiency (SE) and energy efficiency (EE) as well as the increase of energy consumption (EC). In view of this, we develop a CSS framework among minisensing slots in a periodic spectrum sensing in this paper. Further, we are motivated by the sequential detection to take the flexible sensing delay constraint into consideration, with aim of making in-depth analysis on various CSS scenarios for CUAVNs. Concurrently, in order to ensure the performance of CSS, the false alarm probability is used as a limiting condition to change the sensing delay constraint. Finally, simulation results corroborate the correctness and effectiveness of our theoretical analysis and show that the flexible sensing delay constraint is better than the fixed sensing delay constraint, in terms of SE, EE and EC.