1.重庆邮电大学通信与信息工程学院,重庆 400065
2.重庆邮电大学移动通信技术重庆市重点实验室,重庆 400065
[ "胡林 男,1984年12月出生于四川省南部县.2017年博士毕业于电子科技大学.现为重庆邮电大学讲师、硕士生导师.主要研究方向为多天线技术、物联网、安全通信.中国电子学会会员编号:E190017176M.E-mail: linhu@cqupt.edu.cn" ]
[ "刘锡炎 男,1999年出生于湖南省湘潭市.现为重庆邮电大学通信与信息工程学院硕士研究生.研究方向为可重构智能表面,非正交多址接入.E-mail: liu1115226934@qq.com" ]
[ "齐倩 女,2001年出生于安徽省池州市.现为重庆邮电大学通信与信息工程学院硕士研究生.研究方向为可重构智能表面,人工智能与图像处理.E-mail: qiqian0516@gmail.com" ]
[ "陈前斌 男,1967年4月出生于四川省营山县.现为重庆邮电大学教授、博士生导师.主要研究方向为通信网理论与技术、无线通信、多媒体信息传输与处理.中国电子学会会员编号:E190000713S.E-mail: chenqb@cqupt.edu.cn" ]
收稿:2024-05-16,
修回:2024-08-29,
纸质出版:2024-10-25
移动端阅览
胡林, 刘锡炎, 齐倩, 等. 可重构智能表面辅助多用户NOMA网络鲁棒资源分配[J]. 电子学报, 2024, 52(10): 3359-3367.
HU Lin, LIU Xi-yan, QI Qian, et al. Robust Resource Allocation for Reconfigurable Intelligent Surface-Assisted Multi-User NOMA Networks[J]. Acta Electronica Sinica, 2024, 52(10): 3359-3367.
胡林, 刘锡炎, 齐倩, 等. 可重构智能表面辅助多用户NOMA网络鲁棒资源分配[J]. 电子学报, 2024, 52(10): 3359-3367. DOI:10.12263/DZXB.20240456
HU Lin, LIU Xi-yan, QI Qian, et al. Robust Resource Allocation for Reconfigurable Intelligent Surface-Assisted Multi-User NOMA Networks[J]. Acta Electronica Sinica, 2024, 52(10): 3359-3367. DOI:10.12263/DZXB.20240456
在不完美信道状态信息(Channel State Information,CSI)和不完美串行干扰消除(Successive Interference Cancellation,SIC)的场景下,研究了可重构智能表面(Reconfigurable Intelligent Surface,RIS)辅助多用户非正交多址接入(Non-Orthogonal Multiple Access,NOMA)网络的鲁棒资源分配问题.在考虑两类用户(信息用户和能量用户)服务质量(Quality of Service,QoS)和信息用户SIC约束下,建立了基站发射功率最小化的优化问题.该问题是一个多变量耦合的非凸优化问题.为了求解该问题,本文使用松弛变量、线性近似、S-程序、符号定性法转化该问题的非凸约束.然后将优化问题分解为两个子问题,最后使用交替优化方法迭代求解两个子问题,直到发送功率收敛.仿真结果表明:该文算法具有较好的收敛性,实现了资源的鲁棒分配,同时有效地降低基站发射功率.
In the scenario of imperfect channel state information (CSI) and imperfect successive interference cancellation (SIC)
the problem of robust resource allocation in reconfigurable intelligent surface (RIS) assisted multi-user non-orthogonal multiple access (NOMA) is studied. Considering the constraints of two types of users (information user and energy user) quality of service (QoS) and information user SIC
a transmit power minimization problem is formulated. This optimization problem is a multi-variable coupled non-convex optimization problem. In this paper
the non-convex constraints of the problem are transformed by using relaxation variables
linear approximation
S-procedure
and sign-definiteness methods. Then
the optimization problem is decomposed into two sub-problems
Finally
the alternate optimization method is used to iteratively solve the above sub-problems. The simulation results show that the proposed approach has a good convergence behavior
realizes the robust allocation of resources and can effectively reduce the transmit power of the base station.
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