Wireless Powered IoE for 6G: Massive Access Meets Scalable Cell-Free Massive MIMO  

作　　者：Shuaifei Chen Jiayi Zhang Yu Jin Bo Ai 

机构地区：[1]School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China [2]State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,China [3]Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis,Zhengzhou University,Zhengzhou 450001,China

出　　处：《China Communications》2020年第12期92-109,共18页中国通信（英文版）

摘　　要：A key challenge to the scalable deployment of the energy self-sustainability(ESS)Internet of Everything(IoE)for sixth-generation(6G)networks is juggling massive connectivity and high spectral efficiency(SE).Cell-free massive multiple-input multiple-output(CF mMIMO)is considered as a promising solution,where many wireless access points perform coherent signal processing to jointly serve the users.However,massive connectivity and high SE are difficult to obtain at the same time because of the limited pilot resource.To solve this problem,we propose a new framework for ESS IoE networks where the user activity detection(UAD)and channel estimation are decoupled.A UAD detector based on deep convolutional neural networks,an initial access scheme,and a scalable power control policy are proposed to enable the practical scalable CF mMIMO implementation.We derive novel and exact closed-form expressions of harvested energy and SE with maximum ratio(MR)processing.Using local partial minimum mean-square error and MR combining,simulation results prove that the proposed framework can serve more users,improve the SE performance,and achieve better user fairness for the considered ESS IoE networks.

关 键 词：6G network cell-free massive MIMO energy self-sustainability Internet of Everything 

分 类 号：TP391.44[自动化与计算机技术—计算机应用技术] TN929.5[自动化与计算机技术—计算机科学与技术]