Channel Reciprocity in FDD Multiuser MIMO Systems by Super-resolution

Wanshan Yang; Zhe Feng; Lijun Chen; Weiyu Xu; Youjian Eugene Liu

doi:10.1109/ICC42927.2021.9500263

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Conference proceeding

Channel Reciprocity in FDD Multiuser MIMO Systems by Super-resolution

Wanshan Yang, Zhe Feng, Lijun Chen, Weiyu Xu and Youjian Eugene Liu

ICC 2021 - IEEE International Conference on Communications, pp.1-6

06/2021

DOI: 10.1109/ICC42927.2021.9500263

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Abstract

To fully utilize the degree of freedom of multiuser MIMO channels of wireless communication systems, channel state information at the transmitter (CSIT) is desired. From reverse link training, time division duplex (TDD) systems are able to obtain forward link CSIT because of channel reciprocity. We aim to do the same for frequency division duplex (FDD) multiuser MIMO systems, where the conventional method is to obtain CSIT from the feedback from the receiver. Unfortunately, the delay and the amount of feedback consume too much resource, especially in massive MIMO systems. However, if we could accurately estimate the channel parameters from the pilot signals in one frequency band, then the channel state in another frequency band can be calculated from these parameters. Because of the accuracy requirement, we cannot put the parameters on grids, have to treat them as continuous variables, and shall employ the super-resolution estimation algorithms. In this work, we formulate the FDD reciprocity problem as a super-resolution problem, show how to apply super-resolution algorithms to the problem in different ways, and compare the performances.

Channel estimation

Estimation

FDD Channel reciprocity

Frequency estimation

MIMO

multiuser

super-resolution

Superresolution

total variation minimization

Training

Transmitters

Wireless communication

Details

Title: Subtitle: Channel Reciprocity in FDD Multiuser MIMO Systems by Super-resolution
Creators: Wanshan Yang - University of Colorado Boulder
Zhe Feng - University of Colorado Boulder
Lijun Chen - University of Colorado Boulder
Weiyu Xu - University of Iowa
Youjian Eugene Liu - University of Colorado Boulder
Resource Type: Conference proceeding
Publication Details: ICC 2021 - IEEE International Conference on Communications, pp.1-6
DOI: 10.1109/ICC42927.2021.9500263
ISSN: 1550-3607
eISSN: 1938-1883
Publisher: IEEE
Language: English
Date published: 06/2021
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197906402771

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