物联网学报2024，Vol.8Issue(1)：60-70,11.DOI:10.11959/j.issn.2096-3750.2024.00370
基于硬件损伤和非完美CSI的IRS辅助NOMA网络鲁棒传输算法
Robust transmission algorithm for IRS-assisted NOMA network with hardware impairments and imperfect CSI
摘要
Abstract
To improve the robustness and reduce the energy consumption of non-orthogonal multiple access(NOMA)net-works,based on hardware impairments(HWI)of transceiver and non-perfect channel state information(CSI),an intelligent reflecting surface(IRS)assisted transmission power minimization algorithm for NOMA networks was proposed.The joint optimization problem of active beam assignment at the base station and passive beam assignment at the IRS was modeled based on HWI and non-perfect CSI.The system considered the user quality of service(QoS)constraint,the serial interfer-ence cancellation constraint and the reflection phase shift constraint of the IRS.To solve this nonconvex optimization problem,the QoS constraints were firstly transformed using linear approximation and S-Procedure methods.Then the op-timization problem was decomposed into two subproblems.The active beam assignment subproblem was solved using the successive convex approximation(SCA)method.The passive beam assignment subproblem was solved using the penal-ized convex-concave process algorithm.Finally,the final solution was obtained by iterating the subproblems alternately using alternating optimization.The simulation results show that the proposed algorithm reduces 17.05%compared to the or-thogonal multiple access robust algorithm in terms of transmitted power.In terms of system robustness,the proposed algo-rithm improves by 20.69%and 31.14%compared to the HWI robust algorithm and the CSI robust algorithm,respectively.关键词
智能反射面/非正交多址接入/硬件损伤/信道状态信息/鲁棒性Key words
intelligent reflecting surface/non-orthogonal multiple access/hardware impairment/channel state informa-tion/robustness分类
信息技术与安全科学引用本文复制引用
刘期烈,方家成,辛雅楠,陈前斌..基于硬件损伤和非完美CSI的IRS辅助NOMA网络鲁棒传输算法[J].物联网学报,2024,8(1):60-70,11.基金项目
重庆市自然科学基金资助项目(No.cstc2019jcyj-zdxm0008) （No.cstc2019jcyj-zdxm0008）
重庆市科技创新领军人才支持计划(No.CSTCCXLJRC201908) （No.CSTCCXLJRC201908）
重庆市教委科技研究项目(No.KJZD-K201900605) The Natural Science Foundation of Chongqing(No.cstc2019jcyj-zdxm0008),Chongqing Science and Technol-ogy Innovation Leading Talent Support Program(No.CSTCCXLJRC201908),The Science and Technology Research Program of Chongqing Municipal Education Commission(No.KJZD-K201900605) （No.KJZD-K201900605）
