Analog Beamforming Enabled Multicasting: Finite-Alphabet Inputs and Statistical CSI

作     者：Wu, Yanjun Xie, Zhong Xie, Zhuochen Ouyang, Chongjun Liang, Xuwen 

作者机构：The Innovation Academy for Microsatellites Chinese Academy of Science Shanghai201304 China The Key Lab for Satellite Digitalization Technology Chinese Academy of Science Shanghai201210 China University of Chinese Academy of Sciences Beijing100049 China The Shanghai Engineering Center for Microsatellites Shanghai201210 China ShanghaiTech University Shanghai201210 China The National Space Science Center Chinese Academy of Sciences Beijing100190 China The School of Electrical and Electronic Engineering College of Engineering and Architecture University College Dublin DublinD04 V1W8 Ireland 

出 版 物：《arXiv》 (arXiv)

年 卷 期：2024年

核心收录：

主　　题：Multicasting 

摘      要：The average multicast rate (AMR) is analyzed in a multicast channel utilizing analog beamforming with finite-alphabet inputs, considering statistical channel state information (CSI). New expressions for the AMR are derived for non-cooperative and cooperative multicasting scenarios. Asymptotic analyses are conducted in the high signal-to-noise ratio regime to derive the array gain and diversity order. It is proved that the analog beamformer influences the AMR through its array gain, leading to the proposal of efficient beamforming algorithms aimed at maximizing the array gain to enhance the AMR. © 2024, CC BY.