Beamforming and fronthaul compression design for intelligent reflecting surface aided cloud radio access networks

作     者：Yu ZHANG Xuelu WU Hong PENG Caijun ZHONG Xiaoming CHEN Yu ZHANG;Xuelu WU;Hong PENG;Caijun ZHONG;Xiaoming CHEN

作者机构：College of Information EngineeringZhejiang University of TechnologyHangzhou310023China National Mobile Communications Research LaboratorySoutheast UniversityNanjing210096China College of Information Science and Electronic EngineeringZhejiang UniversityHangzhou310027China 

基　　金：Project supported by the Zhejiang Provincial Natural Science Foundation of China(Nos.LY21F010008 and LD21F010001) the National Natural Science Foundation of China(No.62171412) the Open Research Fund of National Mobile Communications Research Laboratory,Southeast University,China(No.2020D10) 

出 版 物：《Frontiers of Information Technology & Electronic Engineering》 (信息与电子工程前沿（英文版）)

年 卷 期：2022年第23卷第1期

页      码：31-46页

摘      要：Owing to the inherent central information processing and resource management ability,the cloud radio access network(C-RAN)is a promising network structure for an intelligent and simplified sixth-generation(6G)wireless ***,to further enhance the capacity and coverage,more radio remote heads(RRHs)as well as high-fidelity and low-latency fronthaul links are required,which may lead to high implementation *** address this issue,we propose to exploit the intelligent reflecting surface(IRS)as an alternative way to enhance the C-RAN,which is a low-cost and energy-efficient ***,we consider the uplink transmission where multi-antenna users communicate with the baseband unit(BBU)pool through multi-antenna RRHs and multiple IRSs are deployed between the users and *** can conduct either point-to-point(P2P)compression or Wyner-Ziv coding to compress the received signals,which are then forwarded to the BBU pool through fronthaul *** investigate the joint design and optimization of user transmit beamformers,IRS passive beamformers,and fronthaul compression noise covariance matrices to maximize the uplink sum rate subject to fronthaul capacity constraints under P2P compression and Wyner-Ziv *** exploiting the Arimoto-Blahut algorithm and semi-definite relaxation(SDR),we propose a successive convex approximation approach to solve non-convex problems,and two iterative algorithms corresponding to P2P compression and Wyner-Ziv coding are *** results verify the performance gain brought about by deploying IRS in C-RAN and the superiority of the proposed joint design.

主 题 词：Cloud radio access network(C-RAN) Intelligent reflecting surface(IRS) Transmit beamforming Fronthaul compression 

学科分类：080904[080904] 0810[工学-土木类] 0809[工学-计算机类] 08[工学] 080402[080402] 0804[工学-材料学] 081001[081001] 

核心收录：

D　O　I：10.1631/FITEE.2100307

馆 藏 号：203107185...