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2019 | OriginalPaper | Chapter

Channel Estimation for mmWave Massive MIMO via Phase Retrieval

Authors : Zhuolei Xiao, Yunyi Li, Guan Gui

Published in: Advanced Hybrid Information Processing

Publisher: Springer International Publishing

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Abstract

The research on channel estimation technology is a core technology for mmWave massive MIMO in 5G wireless communications. This paper proposed a greedy iterative phase retrieval algorithm for channel estimation from received signal strength (RSS) feedback which is common in wireless communication systems and is used to compensate for temporal channels. We consider a Modified Gauss-Newton (MGN) algorithm to approximate the square term of the system model as a linear problem at each iteration and it is embedded in the 2-opt framework for iteration to get the optimal estimation. Our algorithm does not need to modify the system, but only need RSS feedback for channel estimation. The simulation results show that the algorithm performs better than the traditional conventional algorithm.

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Metadata
Title
Channel Estimation for mmWave Massive MIMO via Phase Retrieval
Authors
Zhuolei Xiao
Yunyi Li
Guan Gui
Copyright Year
2019
Book
Advanced Hybrid Information Processing

Print ISBN: 978-3-030-19085-9

Electronic ISBN: 978-3-030-19086-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-19086-6_39

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