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

ZHANG Guangyang; ZHEN Ruoyi; LI Yuhang; LU Yang; DING Jianwen; ZHONG Zhangdui

doi:10.11959/j.issn.2096-3750.2025.00478

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

Theory and Technology | 更新时间：2026-01-04

- Fronthaul compression and hybrid precoding design for RIS-aided cell-free networks
- Chinese Journal on Internet of Things Vol. 9, Issue 4, Pages: 40-50(2025)
- 作者机构：
  
  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.北京交通大学先进轨道交通自主运行全国重点实验室，北京 100044
  4.宽带移动信息通信铁路行业重点实验室，北京 100044
  5.北京市高速铁路宽带移动通信工程技术研究中心，北京 100044
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62171021);The Science and Technology Project of China State Railway Group(L2023G005);The Science and Technology Innovation Project of China Shenhua Energy Co., LTD(SHGF-24-4)
- DOI：10.11959/j.issn.2096-3750.2025.00478
  CLC：
- Received：12 February 2025，
  
  Revised：2025-03-12，
  
  Published：10 December 2025
- 稿件说明：
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张广阳,甄若亦,李宇航等.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,2025,09(04):40-50.

ZHANG Guangyang,ZHEN Ruoyi,LI Yuhang,et al.Fronthaul compression and hybrid precoding design for RIS-aided cell-free networks[J].Chinese Journal on Internet of Things,2025,09(04):40-50.
张广阳,甄若亦,李宇航等.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,2025,09(04):40-50. DOI： 10.11959/j.issn.2096-3750.2025.00478.

ZHANG Guangyang,ZHEN Ruoyi,LI Yuhang,et al.Fronthaul compression and hybrid precoding design for RIS-aided cell-free networks[J].Chinese Journal on Internet of Things,2025,09(04):40-50. DOI： 10.11959/j.issn.2096-3750.2025.00478.

摘要

为了提升去蜂窝（CF

cell-free）网络的性能，对可重构智能表面（RIS

reconfigurable intelligent surface）辅助下的CF网络混合预编码设计进行了研究，其中，接入节点与中央处理单元之间的前传链路容量受限。在满足用户服务质量（QoS

quality of service）和前传链路容量约束下，建立了一个联合优化混合预编码矩阵、RIS相移参数和量化噪声协方差矩阵的加权和速率最大化问题。利用交替优化算法，该问题被分解为4个子问题并分别迭代求解。为了解决非凸QoS约束，使用二次转换方法近似该约束。针对非凸恒模约束，提出了交替方向乘子法架构下的流形优化方法。仿真结果表明，所提算法显著地优于基准算法，同时在网络中部署RIS可以有效地提高用户速率。

Abstract

To improve the performance of cell-free (CF) networks

the hybrid precoding design was studied for reconfigurable 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 optimization method

the optimization problem was divided into four sub-problems and solved in an iterative manner. To address 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

Keywords

references

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