Reconfigurable intelligent surface optimization for uplink sparse code multiple access
| Autor: | Salama S. Ikki, Octavia A. Dobre, Ertugrul Basar, Ibrahim Al-Nahhal, Telex M. N. Ngatched |
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| Přispěvatelé: | Başar, Ertuğrul (ORCID 0000-0001-5566-2392 & YÖK ID 149116), Al-Nahhal, Ibrahim, Dobre, Octavia A., Ngatched, Telex M. N., Ikki, Salama, College of Engineering, Department of Electrical and Electronics Engineering |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Signal Processing (eess.SP)
FOS: Computer and information sciences Computational complexity theory Computer science Wireless network Information Theory (cs.IT) Computer Science - Information Theory Monte Carlo method Phase (waves) Uplink Signal to noise ratio Optimization NOMA Codes Iterative decoding Computational complexity Sparse code multiple access (SCMA) Reconfigurable intelligent surface (RIS) Phase shift optimization Discrete phase shifts Computer Science Applications System model Reduction (complexity) Modeling and Simulation Telecommunications link FOS: Electrical engineering electronic engineering information engineering Code (cryptography) Telecommunications Electrical Engineering and Systems Science - Signal Processing Electrical and Electronic Engineering Algorithm Computer Science::Information Theory |
| Zdroj: | IEEE Communications Letters |
| Popis: | 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. 6 pages, 5 figures, published in IEEE Communications Letters |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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