Channel reconstruction based multiuser precoding with limited feedback
File(s)
Accepted version
Author(s)
Ozates, Mert
Kazemi, Mohammad
Goken, Cagri
Duman, Tolga M
Type
Conference Paper
Abstract
We consider the downlink of a multiuser multiple-input multiple-output (MU-MIMO) system, where each user feeds back a partial channel state information (CSI), namely, the quantized version of the dominant eigenvector of its channel covariance matrix, to the base station (BS) for precoding. Specifically, we propose a downlink multiuser precoding scheme by first reconstructing the equivalent channel matrix of each user via a limited feedback, and then by employing a precoder to suppress the multiuser interference at the receivers. For the single stream case, a signal-to-leakage-and-noise ratio (SLNR) based precoding is employed, while for the full stream case with limited feedback, we employ a lattice reduction aided block diagonalization type precoding with suitable modifications at the receiver side. Extensive numerical examples which are provided using the 5G new radio (5G-NR) channel models demonstrate that the proposed schemes outperform the existing eigenvector based algorithms, and they are more robust against the downlink channel estimation errors.
Date Issued
2021-09-06
Date Acceptance
2021-05-01
Citation
2021 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2021, pp.231-236
ISSN
2375-8236
Publisher
IEEE
Start Page
231
End Page
236
Journal / Book Title
2021 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)
Copyright Statement
Copyright © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
IEEE International Black Sea Conference on Communications and Networking (IEEE BlackSeaCom)
Subjects
5G-NR
channel reconstruction
Computer Science
Computer Science, Hardware & Architecture
DIFFERENTIAL CODEBOOK
lattice reduction
limited feedback
Multiuser MIMO
SCHEME
Science & Technology
SLNR
Technology
Telecommunications
Publication Status
Published
Start Date
2021-05-24
Finish Date
2021-05-28
Coverage Spatial
Virtual