Paper Info
Title
Experimental study of advanced MU-MIMO scheme with antenna calibration for the evolving LTE TDD system
Abstract
As the 3GPP long term evolution (LTE) system actively evolves, advanced multi-user multiple-input multiple-output (MU-MIMO) schemes have attracted increasing interest in the engineering field. We have proposed a QR decomposition (QRD) based MU-MIMO scheme for the evolving LTE time division duplex (TDD) system to achieve high spectrum efficiency, assuming ideal channel reciprocity. In order to investigate the promising performance of TDD MU-MIMO in practice, we implement the proposed QRD-based TDD MU-MIMO scheme together with an actual over-the-air (OTA) antenna calibration scheme into our FPGA-based hardware testbed for the evolving LTE TDD system to examine its performance under the constraint of practical channel reciprocity. Measurement results show that channel reciprocity indeed could be achieved with the OTA antenna calibration and the QRD-based MU-MIMO scheme can effectively make use of this channel reciprocity to achieve high spectrum efficiency data transmission for both downlink and uplink. Moreover, the influence of antenna calibration on the TDD MU-MIMO performance is further investigated and several considerations related to antenna calibration are addressed.
Year
DOI
Venue
2012
10.1109/PIMRC.2012.6362767
PIMRC
Keywords
Field
DocType
calibration,3gpp long term evolution system,time division multiplexing,channel reciprocity,advanced mu-mimo scheme,qrd,antenna calibration,mimo communication,lte tdd system,advanced multi-user multiple-input multiple-output scheme,antennas,long term evolution,fpga-based hardware testbed,field programmable gate arrays,high spectrum efficiency data transmission,lte time division duplex system,qr decomposition,signal to noise ratio,downlink,mimo
Multi-user MIMO,Data transmission,Computer science,Signal-to-noise ratio,MIMO,Real-time computing,Spectral efficiency,Time-division multiplexing,QR decomposition,Telecommunications link
Conference
Volume
Issue
ISSN
null
null
2166-9570 E-ISBN : 978-1-4673-2568-4
ISBN
Citations 
PageRank 
978-1-4673-2568-4
2
0.40
References 
Authors
0
3
Name
Order
Citations
PageRank
Xiaolin Hou17615.75
Atsushi Harada2506.92
Hirohito Suda3184.91