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Joint Beamforming Design in Multi-Cluster MISO NOMA Reconfigurable Intelligent Surface-Aided Downlink Communication Networks
IEEE Transactions on Communications ( IF 7.2 ) Pub Date : 2021-01-01 , DOI: 10.1109/tcomm.2020.3032695
Yiqing Li , Miao Jiang , Qi Zhang , Jiayin Qin

Considering reconfigurable intelligent surfaces (RISs), we study a multi-cluster multiple-input-single-output (MISO) non-orthogonal multiple access (NOMA) downlink communication network. In the network, RISs assist the communication from the base station (BS) to all users by passive beamforming. Our goal is to minimize the total transmit power by jointly optimizing the active beamforming matrices at the BS and the reflection coefficient vector at the RISs. Because of the constraints on the RIS reflection amplitudes and phase shifts, the formulated quadratically constrained quadratic problem is highly non-convex. For the aforementioned problem, the conventional semidefinite programming (SDP) based algorithm has prohibitively high computational complexity and deteriorating performance. Here, we propose an effective second-order cone programming (SOCP)-alternating direction method of multipliers (ADMM) based algorithm to obtain the locally optimal solution. To reduce the computational complexity, we also propose a low-complexity zero-forcing based suboptimal algorithm. It is shown through simulation results that our proposed SOCP-ADMM based algorithm achieves significant performance gain over the conventional SDP based algorithm. Furthermore, when the target transmission rates of central and cell-edge users are 0.5 bps/Hz, our proposed NOMA RIS-aided system with 32 RIS elements has about 2.5 dB performance gain over the conventional massive multiple-input-multiple-output system with 64 transmit antennas.

中文翻译:

多集群 MISO NOMA 可重构智能表面辅助下行链路通信网络中的联合波束成形设计

考虑到可重构智能表面 (RIS),我们研究了多集群多输入单输出 (MISO) 非正交多址 (NOMA) 下行链路通信网络。在网络中,RIS 通过无源波束成形辅助从基站 (BS) 到所有用户的通信。我们的目标是通过联合优化 BS 的有源波束成形矩阵和 RIS 的反射系数向量来最小化总发射功率。由于 RIS 反射幅度和相移的限制,公式化的二次约束二次问题是高度非凸的。针对上述问题,传统的基于半定规划(SDP)的算法具有极高的计算复杂度和不断恶化的性能。这里,我们提出了一种有效的二阶锥规划(SOCP)-交替方向乘法器(ADMM)算法来获得局部最优解。为了降低计算复杂度,我们还提出了一种基于低复杂度的迫零次优算法。通过仿真结果表明,我们提出的基于 SOCP-ADMM 的算法比基于传统 SDP 的算法实现了显着的性能提升。此外,当中心和小区边缘用户的目标传输速率为 0.5 bps/Hz 时,我们提出的具有 32 个 RIS 元件的 NOMA RIS 辅助系统比传统的大规模多输入多输出系统具有约 2.5 dB 的性能增益。 64 个发射天线。为了降低计算复杂度,我们还提出了一种基于低复杂度的迫零次优算法。通过仿真结果表明,我们提出的基于 SOCP-ADMM 的算法比基于传统 SDP 的算法实现了显着的性能提升。此外,当中心和小区边缘用户的目标传输速率为 0.5 bps/Hz 时,我们提出的具有 32 个 RIS 元件的 NOMA RIS 辅助系统比传统的大规模多输入多输出系统具有约 2.5 dB 的性能增益。 64 个发射天线。为了降低计算复杂度,我们还提出了一种基于低复杂度的迫零次优算法。通过仿真结果表明,我们提出的基于 SOCP-ADMM 的算法比基于传统 SDP 的算法实现了显着的性能提升。此外,当中心和小区边缘用户的目标传输速率为 0.5 bps/Hz 时,我们提出的具有 32 个 RIS 元件的 NOMA RIS 辅助系统比传统的大规模多输入多输出系统具有约 2.5 dB 的性能增益。 64 个发射天线。
更新日期:2021-01-01
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