The Library
Impact and calibration of nonlinear reciprocity mismatch in massive MIMO systems
Tools
Tools
Tools
Nie, Rongjiang , Chen, Li, Zhao, Nan, Chen, Yunfei, Wang, Weidong and Wang, Xianbin (2021) Impact and calibration of nonlinear reciprocity mismatch in massive MIMO systems. IEEE Transactions on Wireless Communications, 20 (10). pp. 6418-6435. doi:10.1109/TWC.2021.3073949 ISSN 1536-1276.
|
PDF
WRAP-impact-calibration-nonlinear-reciprocity-mismatch-massive-MIMO-systems-Chen-2021.pdf - Accepted Version - Requires a PDF viewer. Download (1610Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/TWC.2021.3073949
Abstract
Time-division-duplexing massive multiple-input multiple-output (MIMO) systems estimate the channel state information (CSI) by leveraging the uplink-downlink channel reciprocity, which is no longer valid when the mismatch arises from the asymmetric uplink and downlink radio frequency (RF) chains. Existing works treat the reciprocity mismatch as constant for simplicity. However, the practical RF chain consists of nonlinear components, which leads to nonlinear reciprocity mismatch. In this work, we examine the impact and the calibration approach of the nonlinear reciprocity mismatch in massive MIMO systems. To evaluate the impact of the nonlinear mismatch, we first derive the closed-form expression of the ergodic achievable rate. Then, we analyze the performance loss caused by the nonlinear mismatch to show that the impact of the mismatch at the base station (BS) side is much larger than that at the user equipment side. Therefore, we propose a calibration method for the BS. During the calibration, polynomial function is applied to approximate the nonlinear mismatch factor, and over-the-air training is employed to estimate the polynomial coefficients. After that, the calibration coefficients are computed by maximizing the downlink achievable rate. Simulation results are presented to verify the analytical results and to show the performance of the proposed calibration approach.
| Item Type: | Journal Article | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||||||
| Library of Congress Subject Headings (LCSH): | MIMO systems , Wireless communication systems, Radio frequency | ||||||||||||
| Journal or Publication Title: | IEEE Transactions on Wireless Communications | ||||||||||||
| Publisher: | IEEE | ||||||||||||
| ISSN: | 1536-1276 | ||||||||||||
| Official Date: | October 2021 | ||||||||||||
| Dates: |
|
||||||||||||
| Volume: | 20 | ||||||||||||
| Number: | 10 | ||||||||||||
| Page Range: | pp. 6418-6435 | ||||||||||||
| DOI: | 10.1109/TWC.2021.3073949 | ||||||||||||
| Status: | Peer Reviewed | ||||||||||||
| Publication Status: | Published | ||||||||||||
| Reuse Statement (publisher, data, author rights): | © 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. | ||||||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||||||
| Date of first compliant deposit: | 21 April 2021 | ||||||||||||
| Date of first compliant Open Access: | 22 April 2021 | ||||||||||||
| RIOXX Funder/Project Grant: |
|
||||||||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
