UAV-Assisted Cooperative Cognitive NOMA: Deployment, Clustering, and Resource Allocation
Arzykulov S. Celik A. Nauryzbayev G. Eltawil A.M.
1 March 2022Institute of Electrical and Electronics Engineers Inc.
IEEE Transactions on Cognitive Communications and Networking
2022#8Issue 1263 - 281 pp.
Cooperative and cognitive non-orthogonal multiple access (CCR-NOMA) has been recognized as a promising technique to overcome spectrum scarcity and massive connectivity issues envisioned in next-generation wireless networks. This paper investigates the deployment of an unmanned aerial vehicle (UAV) as a relay that fairly serves many secondary users in a hot-spot region. The UAV deployment algorithm must jointly account for user clustering, channel assignment, and resource allocation sub-problems. We propose a solution methodology that obtains user clustering and channel assignment based on the optimal resource allocations for a given UAV location. This paper is the first to jointly derive closed-form optimal power and time allocations for generic cluster sizes of CCR-NOMA networks. Derivations consider many practical limitations, such as hardware impairments, imperfect channel estimates, and interference temperature constraints. Compared to numerical benchmarks, proposed solutions reach optimal max-min fair data rate by consuming and spending much less transmission power and computational time. The proposed clustering uses the optimal data rates and channel assignment approaches based on a linear bottleneck assignment (LBA) algorithm. Numerical results show that the LBA achieves 100% accuracy in more than five orders of magnitude less time than the optimal integer linear programming benchmark.
clustering , cognitive radio , cooperative communications , deployment , hardware impairments , non-orthogonal multiple access , outage probability , Unmanned aerial vehicles
Text of the article Перейти на текст статьи
Computer, Electrical, and Mathematical Sciences Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia
Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan
Computer
Department of Electrical and Computer Engineering
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026