Enhancing URLLC in Integrated Aerial Terrestrial Networks: Design Insights and Performance Trade-Offs

Awais, M., Pervaiz, H., Jamshed, M. A., Yu, W. and Ni, Q. (2022) Enhancing URLLC in Integrated Aerial Terrestrial Networks: Design Insights and Performance Trade-Offs. In: 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Belfast, United Kingdom, 14-17 June 2022, pp. 548-553. ISBN 9781665408769 (doi: 10.1109/WoWMoM54355.2022.00085)

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Abstract

Non-orthogonal multiple access (NOMA) is a promising radio access technique that enables massive connectivity and increased spectral efficiency. The deployment of aerial base stations (ABSs) as a relay is also an optimistic goal that fairly serves a large number of internet of things (IoT) devices. On one side, ABS-assisted communication leverages effective communication services for secondary IoT devices in smart cities. On the other hand, NOMA allows several IoT devices to concurrently acquire the same frequency-time resource. To this end, weighted sum-rate (WSR) is an essential goal because it allows numerous trade-offs between user fairness and sum-rate efficiency. Therefore, this work aims to investigate the WSR for an integrated aerial terrestrial network subject to cellular power and delay constraints in downlink NOMA. Herein, a theoretical insight-based low-complexity iterative solution is provided for optimal power and blocklength allocation to achieve maximum sum-rate. For this purpose, the mixed-integer non-linear problem is formulated and a low-complexity near-optimal solution is proposed. Numerical results show that the proposed scheme achieves a near-optimal solution and outperforms baseline techniques, i.e., the performance gain of 5.18% over the legacy OMA system for NOMA with two IoT devices per subcarrier.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Jamshed, Dr Muhammad Ali
Authors: Awais, M., Pervaiz, H., Jamshed, M. A., Yu, W., and Ni, Q.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
ISBN:9781665408769
Published Online:09 August 2022
Copyright Holders:Copyright © 2022 IEEE
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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