Reference : Emission-aware Resource Optimization Framework for Backscatter-enabled Uplink NOMA Ne...
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Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
Emission-aware Resource Optimization Framework for Backscatter-enabled Uplink NOMA Networks
[en] Emission-aware Resource Optimization Framework for Backscatter-enabled Uplink NOMA Networks
Jamshed, Muhammad Ali mailto []
Khan, Wali Ullah mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Pervaiz, Haris mailto []
Imran, Muhammad Ali mailto []
Ur-Rehman, Masood mailto []
Low Electromagnetic Field Exposure Wireless Devices: Fundamentals and Recent Advances
Wiley-IEEE Press
[en] Electromagnetic field ; Backscatter communication ; Non-orthogonal multiple access
[en] 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 chapter utilizes 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 with the existing solutions.
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