Cross-Subcarrier Precoder Design for Massive MIMO-OFDM Downlink

Yuxuan Zhang, An An Lu, Bingyan Liu, Xiqi Gao*, Xiang Gen Xia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose a cost efficient cross-subcarrier pre-coder design (CSPD) for massive multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) downlink with imperfect channel state information (CSI). To reduce the high computational complexity caused by individual precoder design for each subcarrier, we design transform domain precoding vectors (TDPVs), from which the precoders for a set of subcarriers can be obtained through a transform. The number of TDPVs is much less than that of subcarriers, and the number of total parameters to be designed can be reduced significantly. The main objective is to maximize an upper bound of the ergodic sum-rate by exploiting the a posteriori beam-based statistical channel model. We provide a concave minorizing function of the upper bound of the ergodic sum-rate and then derive the stationary points of a concave quadratic optimization problem with this minorizing function. To reduce the dimension of the matrix inversion in the stationary points, we propose an algorithm by using block coordinate descent (BCD) method with power allocation.

Original languageEnglish
Title of host publication2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350329285
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event98th IEEE Vehicular Technology Conference, VTC 2023-Fall - Hong Kong, China
Duration: 10 Oct 202313 Oct 2023

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference98th IEEE Vehicular Technology Conference, VTC 2023-Fall
Country/TerritoryChina
CityHong Kong
Period10/10/2313/10/23

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