Emission-Aware Resource Optimization Framework for Backscatter-Enabled Uplink NOMA Networks

Jamshed, M. A., Khan, W. U., Pervaiz, H., Imran, M. A. and Ur-Rehman, M. (2022) Emission-Aware Resource Optimization Framework for Backscatter-Enabled Uplink NOMA Networks. In: IEEE 95th Vehicular Technology Conference (VTC2022-Spring), Helsinki, Finland, 19 - 22 June 2022, ISBN 9781665482431 (doi: 10.1109/VTC2022-Spring54318.2022.9860409)

Abstract

In the last decade, a sharp surge in the number of user proximity wireless devices (UPWDs) has been observed. This has increased the level of electromagnetic field (EMF) exposure of the users substantially and hence, the possible physiological effects. Ambient backscatter communications (ABC) has appeared to be a promising solution to reduce the power consumption of UPWDs by converting ambient radio frequency (RF) signals into useful signals while non-orthogonal multiple access (NOMA) is a compelling multiplexing scheme for enhanced spectral efficiency. This paper utilises a novel combination of ABC and NOMA to reduce the EMF in the uplink of wireless communication systems. This contemporary approach of EMF-aware resource optimization is based on k-medoids and Silhouette analysis. To curtail the uplink EMF, a power allocation strategy is also derived by converting a non-convex problem to a convex one and solving accordingly. The numerical results exhibit that the proposed ABC, NOMA, and unsupervised learning based scheme achieves a reduction in the EMF by at least 75% in comparison to the existing solutions.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Imran, Professor Muhammad and Ur Rehman, Dr Masood and Jamshed, Dr Muhammad Ali
• Authors: Jamshed, M. A., Khan, W. U., Pervaiz, H., Imran, M. A., and Ur-Rehman, M.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• ISSN: 2577-2465
• ISBN: 9781665482431
• Copyright Holders: Copyright © 2022 IEEE
• First Published: First published in 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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