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

Autor:	Wu, Yanjun, Xie, Zhong, Xie, Zhuochen, Ouyang, Chongjun, Liang, Xuwen
Rok vydání:	2024
Předmět:	Computer Science - Information Theory Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: 5 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2405.14029 Zobrazit plný text záznamu View this record from Arxiv