Abstract
Unmanned aerial vehicles (UAVs) equipped with data transmission and sensing facilities are gaining more popularity in different applications due to its miniaturization and mobility. In this paper, a UAV-based overlay cognitive radio (CR) network is investigated in which the UAV is used as a secondary user (SU). This paper proposes an efficient energy management solution to improve the performance of the UAV. When SUs opportunistically utilize the licensed spectrum of the primary network, spectrum sensing is needed to determine whether to transmit data or not, so the sensing time and secondary transmission power should be jointly optimized. We formulate this non-convex optimization problem subject to multiple constraints, which seeks to investigate on the effect of the sensing time and transmission power on the performance of the system. The problem is difficult to tackle, then we propose an algorithm applying the techniques of alternating optimization and dichotomy method. In addition, we compare the proposed algorithm with the particle swarm optimization (PSO) algorithm to verify its performance. Numerical results show that our proposed algorithm outperforms the PSO algorithm and significantly enhances the energy efficiency of the UAV-based CR system.
Highlights
Unmanned aerial vehicles (UAVs) [1] have attracted more and more attention for many applications which are unachievable or dangerous for human operators
UAVs equipped with sensor nodes (SNs) and communication platforms can be applied in various areas, and lots of difficult operations can be executed with the aid of this new technology
UAVs generally operate on IEEE S-Band, IEEE L-Band and on Industrial, Scientific and Medical (ISM) band [6] which is permanently exploited by many other wireless networks
Summary
Unmanned aerial vehicles (UAVs) [1] have attracted more and more attention for many applications which are unachievable or dangerous for human operators. UAVs have the advantage to transmit information with reduced path loss effect due to its flexible position [3], which makes the attraction of UAV-based communication continuously increase. It is facing many challenges, The associate editor coordinating the review of this manuscript and approving it for publication was Prabhat Kumar Upadhyay. The coexistence of various wireless networks makes the spectrum resource more constrained and the UAVs’ spectrum demand more urgent Another challenge is the concern about energy efficiency, while achieving higher throughput and lower power consumption are necessarily required in future wireless networks.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
