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RIS辅助的去蜂窝网络前传压缩与混合预编码设计

张广阳 甄若亦 李宇航 陆杨 丁建文 钟章队

物联网学报2025,Vol.9Issue(4):40-50,11.
物联网学报2025,Vol.9Issue(4):40-50,11.DOI:10.11959/j.issn.2096-3750.2025.00478

RIS辅助的去蜂窝网络前传压缩与混合预编码设计

Fronthaul compression and hybrid precoding design for RIS-aided cell-free networks

张广阳 1甄若亦 2李宇航 2陆杨 2丁建文 3钟章队4

作者信息

  • 1. 北京交通大学电子信息工程学院,北京 100044
  • 2. 北京交通大学计算机科学与技术学院,北京 100044
  • 3. 北京交通大学电子信息工程学院,北京 100044||北京交通大学先进轨道交通自主运行全国重点实验室,北京 100044||宽带移动信息通信铁路行业重点实验室,北京 100044
  • 4. 北京交通大学电子信息工程学院,北京 100044||宽带移动信息通信铁路行业重点实验室,北京 100044||北京市高速铁路宽带移动通信工程技术研究中心,北京 100044
  • 折叠

摘要

Abstract

To improve the performance of cell-free(CF)networks,the hybrid precoding design was studied for reconfigu-rable intelligent surface(RIS)-aided CF networks,of which the capacity of the fronthaul link between the access points and central processing unit was limited.A weighted sum rate maximization problem was formulated by jointly optimizing the hybrid precoding matrices,RIS phase shift coefficients,and quantization noise covariance matrices while satisfying the users' quality of service(QoS)constraints and fronthaul link capacity constraints.By applying the alternating optimi-zation method,the optimization problem was divided into four sub-problems and solved in an iterative manner.To ad-dress the non-convex QoS constraints,the quadratic transform was adopted to approximate the constraints.For the non-convex constant-modulus constraints,a manifold optimization method was proposed under the alternating direction method of multipliers framework.The simulation results show that the proposed algorithm significantly outperforms the baseline algorithms and the deployment of RIS can effectively enhance the rate of the users.

关键词

去蜂窝网络/可重构智能表面/混合预编码/量化压缩

Key words

CF network/RIS/hybrid precoding/quantization and compression

分类

信息技术与安全科学

引用本文复制引用

张广阳,甄若亦,李宇航,陆杨,丁建文,钟章队..RIS辅助的去蜂窝网络前传压缩与混合预编码设计[J].物联网学报,2025,9(4):40-50,11.

基金项目

国家自然科学基金资助项目(No.62171021) (No.62171021)

中国国家铁路集团有限公司科技研究开发计划项目(No.L2023G005) (No.L2023G005)

中国神华能源股份有限公司科技创新项目(No.SHGF-24-4)The National Natural Science Foundation of China(No.62171021),The Science and Technology Project of China State Railway Group(No.L2023G005),The Science and Technology Innovation Project of China Shenhua Energy Co.,LTD(No.SHGF-24-4) (No.SHGF-24-4)

物联网学报

2096-3750

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