Massive MIMO with IQ Imbalance: Performance analysis and compensation
Paper in proceedings, 2015

In this paper, we consider the uplink of a single-cell massive multiple-input multiple-output (MIMO) system with inphase and quadrature-phase imbalance (IQI). This scenario is of particular importance in massive MIMO systems, where the deployment of lower-cost, lower-quality components is desirable to make massive MIMO a viable technology. Particularly, we investigate the effect of IQI on the performance of massive MIMO employing maximum-ratio combining (MRC) receivers. In order to study how IQI affects channel estimation, we derive a new channel estimator for the IQI-impaired model and show that IQI can substantially downgrade the performance of MRC receivers. Moreover, a low-complexity IQI compensation scheme, suitable for massive MIMO, is proposed which is based on the IQI coefficients' estimation and it is independent of the channel gain. The performance of the proposed compensation scheme is analytically evaluated by deriving a tractable approximation of the ergodic achievable rate and providing the asymptotic power scaling laws assuming transmission over Rayleigh fading channels with log-normal large-scale fading. Finally, we show that massive MIMO effectively suppresses the residual IQI effects, as long as, the compensation scheme is applied.

MIMO communication

channel estimation

Author

Nikolaos Kolomvakis

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Michail Matthaiou

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Jingya Li

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Mikael Coldrey

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Tommy Svensson

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

IEEE International Conference on Communications, ICC 2015, London, United Kingdom, 8-12 June 2015

1550-3607 (ISSN)

1703-1709

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems

Signal Processing

DOI

10.1109/ICC.2015.7248570

ISBN

978-1-4673-6432-4

More information

Created

10/7/2017