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Resource allocation of backscatter communication based on reconfigurable intelligent surface

Resource allocation of backscatter communication based on reconfigurable intelligent surface In this article, we propose a double reconfigurable intelligent surface (RIS)‐aided ambient backscatter communication (AmBC) network combined with non‐orthogonal multiple access (NOMA) technology, which not only successfully assists the base station (BS) in connecting with the cell edge user, but also enhances backscatter communication rate, energy efficiency, and spectrum efficiency. In an effort to obtain the highest backscatter communication rate, we design a RIS and BS‐based resource allocation problem which is solved by determining the optimal phase shifts of RISs and the optimal power allocation for signals of NOMA users. We break it down into two smaller challenges in order to discover the best solution. For one thing, we iterate the optimal phase shifts between the two RIS combinations using an alternating optimization technique. For another, the bisection method is used to provide the NOMA user with the ideal power allocation. Finally, the results of the simulation substantiate the viability of the proposed scheme. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Advanced Control for Applications Wiley

Resource allocation of backscatter communication based on reconfigurable intelligent surface

Advanced Control for Applications , Volume Early View – May 14, 2023

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Publisher
Wiley
Copyright
© 2023 John Wiley & Sons, Ltd.
eISSN
2578-0727
DOI
10.1002/adc2.146
Publisher site
See Article on Publisher Site

Abstract

In this article, we propose a double reconfigurable intelligent surface (RIS)‐aided ambient backscatter communication (AmBC) network combined with non‐orthogonal multiple access (NOMA) technology, which not only successfully assists the base station (BS) in connecting with the cell edge user, but also enhances backscatter communication rate, energy efficiency, and spectrum efficiency. In an effort to obtain the highest backscatter communication rate, we design a RIS and BS‐based resource allocation problem which is solved by determining the optimal phase shifts of RISs and the optimal power allocation for signals of NOMA users. We break it down into two smaller challenges in order to discover the best solution. For one thing, we iterate the optimal phase shifts between the two RIS combinations using an alternating optimization technique. For another, the bisection method is used to provide the NOMA user with the ideal power allocation. Finally, the results of the simulation substantiate the viability of the proposed scheme.

Journal

Advanced Control for ApplicationsWiley

Published: May 14, 2023

Keywords: AmBC; NOMA; resource allocation; RIS

References