Abstract
To conquer the existing spectrum shortage issues for the successful deployment of new wireless applications, cognitive radio has evolved as a burgeoning strategy for wireless networks. However, the technology still has some bottlenecks such as fading, heterogeneous operating conditions, and sensing errors, etc., due to which its full potential cannot be exploited. Recently, unmanned aerial vehicles (UAVs) are also gaining momentum in many communication paradigms due to their high mobility and flexibility. The ability to form a flying network makes UAV technology the most suitable candidate to address the challenges like coverage and on-demand network deployment, posed by beyond 5G (B5G) and 6G networks. In this paper, the accomplishment of a UAV-based cognitive radio network system is investigated. The proposed system considered line-of-sight conditions between the licensed primary user and UAV secondary users to sense the channel, and the transmission mode diversity is used to enhance the throughput of the secondary user. Simulation results are presented to corroborate the proposed scheme. Moreover, the comparison results are also presented to corroborate the effectiveness of the proposed scheme.
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Bala, I., Mandal, D., Singhal, A. (2022). Performance Enhancement of UAV-Based Cognitive Radio Network. In: Sharma, D.K., Peng, SL., Sharma, R., Zaitsev, D.A. (eds) Micro-Electronics and Telecommunication Engineering . ICMETE 2021. Lecture Notes in Networks and Systems, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-16-8721-1_10
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