发表机构
Northeastern University at Qinhuangdao; School of Computer and Communication Engineering, Northeastern University at Qinhuangdao; Shandong University; School of Information Science and Engineering, Shandong University; Nanyang Technological University; School of Electrical and Electronics Engineering, Nanyang Technological University; Southeast University; National Mobile Communications Research Laboratory, Southeast University（东北大学秦皇岛分校; 东北大学秦皇岛分校计算机与通信工程学院; 山东大学; 山东大学信息科学与工程学院; 南洋理工大学; 南洋理工大学电气与电子工程学院; 东南大学; 东南大学移动通信国家重点实验室）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对RIS辅助NOMA网络在硬件损伤和不完美CSI下的性能下降，提出鲁棒设计最小化发射功率，利用Bernstein不等式和半定松弛求解，多波束优于单波束。
AI 中文摘要
非正交多址接入（NOMA）与可重构智能表面（RIS）的结合为提高频谱效率提供了新的解决方案。然而，由于缺乏有源射频链路，RIS的信道估计误差显著。同时，基站（BS）和用户处的收发器也存在硬件损伤（HWI）。不完美的信道状态信息（CSI）和HWI将降低通信性能，如中断概率或数据速率。为了缓解这种性能恶化，我们提出了一种鲁棒设计方案，在RIS辅助的单波束和多波束NOMA网络中，在满足用户目标速率的前提下，最小化BS发射功率，同时考虑收发器HWI和不完美CSI。进一步，研究了单波束和多波束NOMA网络中的完美串行干扰消除（SIC）条件，并基于完美SIC条件提出了优化问题。为解决该非凸问题，我们提供了一种结合Bernstein型不等式和半定松弛的有效算法。数值结果表明，所提方案优于忽略HWI和不完美CSI的非鲁棒RIS辅助NOMA方案。此外，多波束NOMA网络相比单波束NOMA网络获得了更高的波束增益，因此多波束NOMA网络具有更优越的性能。
英文摘要
The incorporation of non-orthogonal multiple access (NOMA) and reconfigurable intelligent surface (RIS) provides a new solution to improve spectral efficiency. Unfortunately, the channel estimation error of RIS is noteworthy due to the absent active radio frequency link. Meanwhile, the transceivers at base stations (BS) and users also exist hardware impairments (HWI). The imperfect channel state information (CSI) and HWI will degrade the communication performance such as outage probability or data rate. To alleviate such performance deterioration, we propose a robust design scheme to minimize the BS transmit power when the target rate of users is satisfied in RIS-assisted single-beam and multi-beam NOMA networks with transceiver HWI and imperfect CSI. Further, the perfect successive interference cancellation (SIC) condition in single-beam and multi-beam NOMA networks is investigated, and the optimization problem is proposed based on perfect SIC conditions. To tackle the non-convex problem, we provide an effective algorithm combining Bernstein-type inequality and semi-definite relaxation. Numerical results demonstrate that the proposed scheme outperforms non-robust RIS-assisted NOMA scheme that ignores HWI and imperfect CSI. Moreover, the multi-beam NOMA network obtains higher beam gain compared to the single-beam NOMA network, and thus there is a superior performance in multi-beam NOMA networks.
Journal refIEEE Internet of Things Journal, 2026
