Capacity optimization of next-generation UAV communication involving non-orthogonal multiple access

Sarfaz, M., Sohail, M. F., Alam, S., ur Rehman, M. J., Ghauri, S. A., Ravie, K., Abbas, H. and Ansari, S. (2022) Capacity optimization of next-generation UAV communication involving non-orthogonal multiple access. Drones, 6(9), 234. (doi: 10.3390/drones6090234)

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Abstract

Unmanned air vehicle communication (UAV) systems have recently emerged as a quick, low-cost, and adaptable solution to numerous challenges in the next-generation wireless network. In particular, UAV systems have shown to be very useful in wireless communication applications with sudden traffic demands, network recovery, aerial relays, and edge computing. Meanwhile, non-orthogonal multiple access (NOMA) has been able to maximize the number of served users with the highest traffic capacity for future aerial systems in the literature. However, the study of joint optimization of UAV altitude, user pairing, and power allocation for the problem of capacity maximization requires further investigation. Thus, a capacity optimization problem for the NOMA aerial system is evaluated in this paper, considering the combination of convex and heuristic optimization techniques. The proposed algorithm is evaluated by using multiple heuristic techniques and deployment scenarios. The results prove the efficiency of the proposed NOMA scheme in comparison to the benchmark technique of orthogonal multiple access (OMA). Moreover, a comparative analysis of heuristic techniques for capacity optimization is also presented.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ansari, Dr Shuja and Abbas, Dr Hasan
Creator Roles:
Abbas, H.Funding acquisition
Ansari, S.Funding acquisition
Authors: Sarfaz, M., Sohail, M. F., Alam, S., ur Rehman, M. J., Ghauri, S. A., Ravie, K., Abbas, H., and Ansari, S.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:Drones
Publisher:MDPI
ISSN:2504-446X
ISSN (Online):2504-446X
Published Online:02 September 2022
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in Drones 6(9): 234
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
317683UKRI EPSRC Impact Acceleration Accounts (IAA) 2022 - 2025Christopher PearceEngineering and Physical Sciences Research Council (EPSRC)EP/X525716/1ENG - Systems Power & Energy