Robust Resource Allocation for Reconfigurable Intelligent Surface-Assisted Multi-User NOMA Networks

HU Lin; LIU Xi-yan; QI Qian; CHEN Qian-bin

doi:10.12263/DZXB.20240456

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Robust Resource Allocation for Reconfigurable Intelligent Surface-Assisted Multi-User NOMA Networks

PAPERS | 更新时间：2026-05-07

- Robust Resource Allocation for Reconfigurable Intelligent Surface-Assisted Multi-User NOMA Networks
- ACTA ELECTRONICA SINICA Vol. 52, Issue 10, Pages: 3359-3367(2024)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(U23A20279;61901089)
- DOI：10.12263/DZXB.20240456
  CLC： TN929.5
- Received：16 May 2024，
  
  Revised：2024-08-29，
  
  Published：25 October 2024
- 稿件说明：
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

摘要

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.

Abstract

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.

关键词

Keywords

references

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