University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Self-Calibration for Massive MIMO with Channel Reciprocity and Channel Estimation Errors

Mi, De, Zhang, Lei, Dianati, Mehrdad, Muhaidat, Sami, Xiao, Pei and Tafazolli, Rahim (2018) Self-Calibration for Massive MIMO with Channel Reciprocity and Channel Estimation Errors In: IEEE Global Communications Conference, 09-13 Dec 2018, Abu Dhabi, UAE.

[img]
Preview
Text
Self-Calibration for Massive MIMO with Channel Reciprocity and Channel Estimation Errors.pdf - Accepted version Manuscript

Download (324kB) | Preview

Abstract

In time-division-duplexing (TDD) massive multipleinput multiple-output (MIMO) systems, channel reciprocity is exploited to overcome the overwhelming pilot training and the feedback overhead. However, in practical scenarios, the imperfections in channel reciprocity, mainly caused by radiofrequency mismatches among the antennas at the base station side, can significantly degrade the system performance and might become a performance limiting factor. In order to compensate for these imperfections, we present and investigate two new calibration schemes for TDD-based massive multi-user MIMO systems, namely, relative calibration and inverse calibration. In particular, the design of the proposed inverse calibration takes into account a compound effect of channel reciprocity error and channel estimation error. We further derive closedform expressions for the ergodic sum rate, assuming maximum ratio transmissions with the compound effect of both errors. We demonstrate that the inverse calibration scheme outperforms the traditional relative calibration scheme. The proposed analytical results are also verified by simulated illustrations.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Mi, Ded.mi@surrey.ac.uk
Zhang, Leilz0004@surrey.ac.uk
Dianati, MehrdadM.Dianati@surrey.ac.uk
Muhaidat, Sami
Xiao, PeiP.Xiao@surrey.ac.uk
Tafazolli, RahimR.Tafazolli@surrey.ac.uk
Date : 9 December 2018
Funders : 5GIC, European Commission
Grant Title : 5GPPP project 5GXcast (H2020-ICT-2016-2 call, grant number 761498)
Related URLs :
Depositing User : Clive Harris
Date Deposited : 22 Oct 2018 07:23
Last Modified : 11 Dec 2018 11:24
URI: http://epubs.surrey.ac.uk/id/eprint/849744

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800