Hybrid Analog and Digital Precoding Based on Adaptive Method in P2P Massive MIMO

To achieve a far higher capacity in massive multi-input multi-output, the hybrid analog and digital precoding has been studied recently. In this paper, we consider the downlink single user communication system and propose an efficient matrix adaptive gradient descent algorithm to design the radio fr...

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Bibliographic Details
Published in:Wireless personal communications Vol. 99; no. 2; pp. 953 - 964
Main Authors: Feng, Yongpan, Kim, Suk Chan
Format: Journal Article
Language:English
Published: New York Springer US 01.03.2018
Springer Nature B.V
Subjects:
Adaptive algorithms
Adaptive systems
Communications Engineering
Communications systems
Computer Communication Networks
Computer simulation
Engineering
Networks
Signal,Image and Speech Processing
Singular value decomposition
RF precoder
Large-scale antenna
Hybrid precoding
Massive MIMO
Matrix adaptive
ISSN:0929-6212, 1572-834X
Online Access:Get full text
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Summary:To achieve a far higher capacity in massive multi-input multi-output, the hybrid analog and digital precoding has been studied recently. In this paper, we consider the downlink single user communication system and propose an efficient matrix adaptive gradient descent algorithm to design the radio frequency precoder and combiner, and use the singular value decomposition method to obtain the digital precoder and combiner. Simulation results show that the proposed method can approach the performance of the conventional full digital precoding with a fast convergence rate.
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ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-017-5160-9