.png){kind=icon}
返回
Reconfigurable Intelligent Surface Optimization for Uplink Sparse Code Multiple Access
.png){kind=icon}
OA
AI
DOI：10.1109/LCOMM.2021.3120560.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
Keyword:
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
期刊
IF:
4.4
论文数:
1.3W
被引数:
2.2W
机构
引用论文
Wireless Communications Through Reconfigurable Intelligent Surfaces通过可重构智能表面进行无线通信.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏分享收藏
查看更多内容