首页|可重构智能反射面辅助太赫兹通信系统鲁棒波束赋形算法

可重构智能反射面辅助太赫兹通信系统鲁棒波束赋形算法

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太赫兹通信作为6G的关键技术之一,被认为是能够解决频谱资源短缺、提升系统容量的有效手段.然而,由于路径损耗极高和分子的吸收作用,太赫兹容易被障碍物阻挡导致通信中断.为了解决该问题,该文将可重构智能反射面(RIS)引入到太赫兹通信系统中,且考虑信道不确定性对传输稳定性的影响,基于用户服务质量约束、基站发射功率约束及RIS离散相移约束,建立多用户能效最大化波束赋形模型.利用丁克尔巴赫、连续凸近似、S-程序、半正定松弛、相位映射和块坐标下降将原非凸优化问题转化为凸优化问题进行求解.仿真结果表明,与传统非鲁棒波束赋形对比,所提算法能效提升了15.4％,中断概率减小了15.48％.
Robust Beamforming Algorithm for Terahertz Communication Systems Aided by Reconfigurable Intelligent Surfaces
Terahertz communication, as one of the key technologies for 6G, is considered an effective means of addressing the scarcity of spectrum resources and improving system capacity. However, due to high path loss and the molecule absorption, terahertz is easily blocked by obstacles leading to communication interruptions. To address this problem, Reconfigurable Intelligent Surface (RIS) is introduced into terahertz communication systems and the impact of channel uncertainty on transmission stability is considered to establish a multi-user energy-efficiency maximization beamforming model based on user quality of service constraints, base station transmit power constraints and RIS discrete phase shift constraints. The original nonconvex optimization problem is solved by transforming it into a convex optimization problem using Dinkelbach, continuous convex approximation, S-procedure, semi-positive definite relaxation, phase mapping and block coordinate descent. Simulation results show that the proposed algorithm improves the energy efficiency by 15.4％ and reduces the outage probability by 15.48％ compared with the traditional non-robust beamforming algorithm.

Terahertz communicationReconfigurable Intelligent Surface(RIS)Robust beamformingEnergy efficiency

袁一铭、徐勇军、周继华

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重庆邮电大学通信与信息工程学院 重庆 400065

浙江省信息处理与通信网络重点实验室 杭州 310058

航天新通科技有限公司 重庆 401332

太赫兹通信 可重构智能反射面 鲁棒波束赋形 能量效率

国家自然科学基金重庆市自然科学基金重庆市教委科学技术研究计划浙江省信息处理与通信网络重点实验室开放基金重庆研究生科研创新项目重庆研究生科研创新项目

62271094CSTB2022NSCQ-LZX0009KJZD-K202200601IPCAN-2302CYB23241CYS23450

2024

10.11999/JEIT230160

电子与信息学报
中国科学院电子学研究所 国家自然科学基金委员会信息科学部

电子与信息学报

CSTPCD北大核心
影响因子：1.302
ISSN：1009-5896
年,卷(期)：2024.46(3)
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