Loading...
Thumbnail Image
Item

A closed-loop reciprocity calibration method for massive MIMO in terrestrial broadcasting systems

Luo, Hua
Zhang, Yue
Huang, Li-Ke
Cosmas, John
Aggoun, Amar
Alternative
Abstract
Massive multi-input multioutput (MIMO) is believed to be an effective technique for future terrestrial broadcasting systems. Reciprocity calibration is one of the major practical challenges for massive MIMO systems operating in time-division duplexing mode. A new closed-loop reciprocity calibration method is investigated in this paper which can support online calibration with a higher accuracy compared to the existing methods. In the first part of the proposed method, an optimized relative calibration is introduced using the same structure of traditional relative calibration, but with less impaired hardware in the reference radio chain. In the second part, a test device (TD)-based calibration is proposed which makes online calibration possible. An experiment setup is built for the measurement of the base station hardware impairments and TD-based calibration implementation. Simulation results and the error vector magnitude of UE received signal after calibration show that the performance of our proposed method is improved significantly compared to the existing relative calibration methods.
Citation
Luo, H., Zhang, Y., Huang, L., Cosmas, J., Aggoun, A. (2017) 'A Closed-Loop Reciprocity Calibration Method for Massive MIMO in Terrestrial Broadcasting Systems', IEEE Transactions on Broadcasting 63 (1) pp. 11-19
Publisher
Research Unit
PubMed ID
PubMed Central ID
Embedded videos
Type
Journal article
Language
en
Description
© 2017 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
Series/Report no.
ISSN
0018-9316
EISSN
ISBN
ISMN
Gov't Doc #
Sponsors
Rights
Research Projects
Organizational Units
Journal Issue
Embedded videos