Performance analysis of cognitive unmanned aerial vehicle

Abstract

The traditional spectrum sensing by cognitive radio sometimes decreases as to the effects of fading and shadowing. Besides, Cognitive radio (CR) based unmanned aerial vehicle (UAV) will provide a higher data transmission without severely being affected by the multipath fading and shadowing. In this paper our goal is to maximize the energy efficiency and throughput by minimizing the power consumption of the UAV. We have designed an analytical model where we worked on the air to ground and ground to ground channel gain. For this paper we also have just considered the downlink communication between the UAV and the ground objects. For improving the energy efficiency of the UAV transmission power is reduced and it is done by two mathematical approaches. Firstly, with the Lambert W function we find the optimal transmission power that is later used to increase the energy efficiency. Secondly, two multi-objective optimization problem (MOP) is introduced and with Lagrangian approach we solve the MOPs to find the maximum power transmitted which is to be used for increasing energy efficiency.