Joint Optimization of the Channel Estimator, Transmit Precoder and Receiver in Large-Scale MIMO Systems

Channel estimation and data detection constitute a pair of pivotal modules in multiple-input multiple-output (MIMO) communication systems, where achieving accurate channel estimation is particularly important for large-scale MIMO communications. However, more accurate channel estimation requires mor...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 73; no. 5; pp. 6530 - 6545
Main Authors: Yu, Tao, Xing, Chengwen, Miao, Xiaqing, Gong, Shiqi, Hanzo, Lajos
Format: Journal Article
Language:English
Published: New York IEEE 01.05.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
and MIMO communications
Channel estimation
channel estimation refinement
Communications systems
Data models
Data transmission
Estimation
Joint optimization
Mathematical models
MIMO
MIMO communication
Optimization
robust transceiver design
Transceivers
ISSN:0018-9545, 1939-9359
Online Access:Get full text
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Summary:Channel estimation and data detection constitute a pair of pivotal modules in multiple-input multiple-output (MIMO) communication systems, where achieving accurate channel estimation is particularly important for large-scale MIMO communications. However, more accurate channel estimation requires more resources. Hence, we investigate the joint optimization of the channel estimator, transmit precoder and receiver in large-scale MIMO systems. In contrast to the classic signal processing philosophy, the joint optimization aims for solving two equations in the face of realistic channel estimation and data transmission imperfections. Closed-form solutions are derived for a pair of schemes. For the first one, the joint optimization consists of the three procedures of channel estimation, data estimation and channel refinement. In this method, the estimated data symbols are also harnessed as pilots, based on which the channel estimation performance is improved. As for the second scheme, since data estimation is our final goal and channel estimation is only an intermediate step, the channel estimation procedure is substituted into the data estimation regime without deriving an explicit solution for the estimated channel. Given our objective of optimizing the data estimation performance, the channel estimator and data transceiver are jointly optimized, and the intricate linkages between these two methods are discussed. Finally, several numerical results are provided for demonstrating the performance advantages over the traditional designs.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2023.3337749