通信学报 ›› 2024, Vol. 45 ›› Issue (4): 39-53.doi: 10.11959/j.issn.1000-436x.2024027

• 学术论文 • 上一篇    下一篇

IRS辅助的异构SWIPT-NOMA系统资源分配方案

季薇, 刘子卿   

  1. 南京邮电大学通信与信息工程学院,江苏 南京 210003
  • 收稿日期:2023-10-12 修回日期:2023-12-26 出版日期:2024-04-30 发布日期:2024-05-27
  • 作者简介:季薇 (1979- ),女,江苏淮安人,博士,南京邮电大学教授、硕士生导师,主要研究方向为无线通信与通信信号处理、智能信号处理等。
    刘子卿(2000- ),男,河南商丘人,南京邮电大学硕士生,主要研究方向为无线携能通信、智能反射面等。
  • 基金资助:
    国家自然科学基金资助项目(61871238)

Resource allocation scheme for IRS assisted heterogeneous SWIPT-NOMA system

Wei JI, Ziqing LIU   

  1. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • Received:2023-10-12 Revised:2023-12-26 Online:2024-04-30 Published:2024-05-27
  • Supported by:
    The National Natural Science Foundation of China(61871238)

摘要:

考虑到未来大型物联网中待服务用户的异构性(接收机产自不同制造商,且具有不同结构、不同功能)和服务需求的多样性,针对功率分割(PS)用户和时间切换(TS)用户共存的异构场景,提出一种IRS辅助的无线携能通信(SWIPT)非正交多址接入(NOMA)通信系统模型。在满足两类用户服务质量的条件下,通过联合优化基站的有源波束成形、IRS的无源相移矩阵、PS用户的功率分割系数、TS用户时间切换系数以及两类用户的串行干扰消除解码顺序来最小化基站的发射功率。为解决该非凸问题,采用基于连续凸逼近的交替迭代方法将问题拆分成多个子问题。针对IRS相移的无源波束成形优化子问题,采用连续秩一约束松弛方法求解。仿真结果表明,IRS辅助的通信系统基站发射功率明显低于无IRS方案;IRS辅助的NOMA通信系统基站发射功率低于IRS辅助的正交多址接入通信系统;IRS辅助的PS-SWIPT系统基站发射功率低于IRS辅助的TS-SWIPT系统。

关键词: 智能发射面, 无线携能通信, 非正交多址接入, 资源分配

Abstract:

Considering the heterogeneity of users to be served (different receiver structures) and the diversity of service requirements in the future large-scale Internet of things, an IRS-assisted simultaneous wireless information and power transfer (SWIPT) non-orthogonal multiple access (NOMA) communication system model for heterogeneous scenarios where power splitting (PS) users and time switching (TS) users coexist was proposed. Under the condition of satisfying the quality of service of the proposed scheme was better than other schemes two types of users, the transmit power of the base station was minimized by jointly optimizing the active beamforming of the base station, the passive phase shift matrix of the IRS, the power splitting ratio of the PS users, the time switching coefficient of the TS users and the successive interference cancellation decoding order of the two types of users. In order to solve the non-convex problem, an alternating iterative method based on successive convex approximation was used to split the problem into multiple sub-problems. For the passive beamforming optimization sub-problem of IRS phase shift, the sequential rank-one constraint relaxation approach was used to solve it. Simulation results show that the base station transmission power of the IRS-assisted communication system is significantly lower than that of the non-IRS scheme, the base station transmission power of IRS-assisted NOMA communication system is lower than that of IRS-assisted orthogonal multiple access communication system, the base station transmission power of the IRS-assisted PS-SWIPT system is lower than that of the IRS-assisted TS-SWIPT system.

Key words: IRS, SWIPT, NOMA, resource allocation

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