Massive MIMO Systems with IQ Imbalance: Channel Estimation and Sum Rate Limits
Journal article, 2017

This paper studies the impact of in-phase and quadrature imbalance (IQI) on single-cell multiuser multiple-input multiple-output (MU-MIMO) systems with large antenna arrays. Moreover, we consider a time-division duplex (TDD) system where we assume uplink/downlink channel reciprocity in the downlink precoding design. First, we investigate the effect of transceiver IQI on the uplink channel estimation by deriving the linear minimum-mean-square-error (LMMSE) estimator for the IQ-impaired model and prove that only the receiver IQI at the base station (BS) limits the estimation accuracy. Then, we study the impact of uplink/downlink channel mismatch on the downlink rate caused by different IQI on the BS and user equipments (UEs). We prove that the achievable downlink rate of each UE is limited either by the receiver IQI at the UEs or jointly by the transmit and receive IQI at the BS, when there is mismatch between the uplink and downlink channels.

channel estimation

asymptotic analysis

I/Q imbalance

achievable rate

Massive MIMO

Author

Nikolaos Kolomvakis

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Mikael Coldrey

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Thomas Eriksson

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Mats Viberg

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

IEEE Transactions on Communications

0090-6778 (ISSN) 15580857 (eISSN)

Vol. 65 6 2382 - 2396 7870582

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1109/TCOMM.2017.2677940

More information

Latest update

4/5/2022 6