Title
Model-Driven Learning for Generic MIMO Downlink Beamforming With Uplink Channel Information
Abstract
Accurate downlink channel information is crucial to the beamforming design, but it is difficult to obtain in practice. This paper investigates a deep learning-based optimization approach of the downlink beamforming to maximize the system sum rate, when only the uplink channel information is available. Our main contribution is to propose a model-driven learning technique that exploits the structure...
Year
DOI
Venue
2022
10.1109/TWC.2021.3111843
IEEE Transactions on Wireless Communications
Keywords
DocType
Volume
Array signal processing,Downlink,Channel estimation,Uplink,Deep learning,Wireless communication,Optimization
Journal
21
Issue
ISSN
Citations 
4
1536-1276
1
PageRank 
References 
Authors
0.36
0
5
Name
Order
Citations
PageRank
Juping Zhang172.12
Minglei You2274.98
Gan Zheng32199115.78
Ioannis Krikidis43348180.98
Liqiang Zhao525733.36