Publication: Reconfigurable intelligent surface optimization for uplink sparse code multiple access
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Program
KU-Authors
KU Authors
Co-Authors
Al-Nahhal, Ibrahim
Dobre, Octavia A.
Ngatched, Telex M. N.
Ikki, Salama
Advisor
Publication Date
2022
Language
English
Type
Journal Article
Journal Title
Journal ISSN
Volume Title
Abstract
The reconfigurable intelligent surface (RIS)-assisted sparse code multiple access (RIS-SCMA) is an attractive scheme for future wireless networks. In this letter, for the first time, the RIS phase shifts of the uplink RIS-SCMA system are optimized based on the alternate optimization (AO) technique to improve the received signal-to-noise ratio (SNR) for a discrete set of RIS phase shifts. The system model of the uplink RIS-SCMA is formulated to utilize the AO algorithm. For further reduction in the computational complexity, a low-complexity AO (LC-AO) algorithm is proposed. The complexity analysis of the two proposed algorithms is performed. Monte Carlo simulations and complexity analysis show that the proposed algorithms significantly improve the received SNR compared to the non-optimized RIS-SCMA scenario. The LC-AO provides the same received SNR as the AO algorithm, with a significant reduction in complexity. Moreover, the deployment of RISs for the uplink RIS-SCMA is investigated.
Description
Source:
IEEE Communications Letters
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Keywords:
Subject
Telecommunications