Joint Location and Beamforming Design for STAR-RIS Assisted NOMA Systems
Joint Location and Beamforming Design for STAR-RIS Assisted NOMA Systems
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DOI：
10.1109/tcomm.2023.3247753
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发表时间：
2022-06
影响因子：
8.3
通讯作者：
Qiling Gao;Yuanwei Liu;Xidong Mu;Min Jia;Dongbo Li;L. Hanzo
中科院分区：
文献类型：
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作者：
Qiling Gao;Yuanwei Liu;Xidong Mu;Min Jia;Dongbo Li;L. Hanzo
同时发射和反射可重构智能表面（STAR-RIS）辅助非正交多址（NOMA）通信系统的研究在其附近，其中一个STAR-RIS部署在一个预定义的区域内建立通信链路的用户。多天线基站（BS）采用基于波束形成器的NOMA和基于簇的NOMA方案。对于每种方案，STAR-RIS部署位置、STAR-RIS的无源发射和反射波束成形（BF）以及BS处的有源BF被联合优化以最大化用户的加权和速率（WSR）。为了解决由此产生的非凸问题，交替优化（AO）算法，其中连续凸逼近（SCA）和半定规划（SDP）方法被调用迭代地解决每个子问题的非凸性。仿真结果表明：1）优化STAR-RIS的具体部署位置可以显著提高WSR性能; 2）基于波束形成器和基于簇的NOMA都倾向于非对称STAR-RIS部署。
Simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted non-orthogonal multiple access (NOMA) communication systems are investigated in its vicinity, where a STAR-RIS is deployed within a predefined region for establishing communication links for users. Both beamformer-based NOMA and cluster-based NOMA schemes are employed at the multi-antenna base station (BS). For each scheme, the STAR-RIS deployment location, the passive transmitting and reflecting beamforming (BF) of the STAR-RIS, and the active BF at the BS are jointly optimized for maximizing the weighted sum-rate (WSR) of users. To solve the resultant non-convex problems, an alternating optimization (AO) algorithm is proposed, where successive convex approximation (SCA) and semi-definite programming (SDP) methods are invoked for iteratively addressing the non-convexity of each sub-problem. Numerical results reveal that 1) the WSR performance can be significantly enhanced by optimizing the specific deployment location of the STAR-RIS; 2) both beamformer-based and cluster-based NOMA prefer asymmetric STAR-RIS deployment.