Stochastic Augmented Projected Gradient Methods for the Large-Scale Precoding Matrix Indicator Selection Problem

In this paper, we consider the large-scale precoding matrix indicator (PMI) selection problem at the receiver in wireless communications. The selection is based on the channel capacity of the PMI matrix in a pre-designed codebook. The quality of the PMI matrix is essential in achieving higher spectr...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on wireless communications Vol. 21; no. 11; pp. 9553 - 9565
Main Authors:	Zhang, Jiaqi, Jin, Zeyu, Jiang, Bo, Wen, Zaiwen
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.11.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms block coordinate descent Channel capacity discrete projected gradient Gradient methods Iterative methods Mathematical analysis Optimization partial permutation Permutations Precoding Precoding matrix indicator STEM stochastic methods Stochastic processes Wireless communication Wireless communications
ISSN:	1536-1276, 1558-2248
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!