On the MIMO Capacity with Residual Transceiver Hardware Impairments
Xinlin Zhang, Michail Matthaiou, Emil Bj\"ornson, Mikael Coldrey,, M\'erouane Debbah

TL;DR
This paper analyzes how residual hardware impairments in MIMO transceivers limit capacity, showing capacity saturation at high SNRs and the effects of large antenna arrays, with analytical capacity expressions derived.
Contribution
It provides a validated impairment model and derives analytical ergodic capacity expressions, revealing capacity saturation and the impact of antenna scaling on MIMO performance.
Findings
Capacity saturates at high SNR due to impairments
Impairments have a second-order impact at low SNR
Large-scale MIMO can mitigate capacity ceiling effects
Abstract
Radio-frequency (RF) impairments in the transceiver hardware of communication systems (e.g., phase noise (PN), high power amplifier (HPA) nonlinearities, or in-phase/quadrature-phase (I/Q) imbalance) can severely degrade the performance of traditional multiple-input multiple-output (MIMO) systems. Although calibration algorithms can partially compensate these impairments, the remaining distortion still has substantial impact. Despite this, most prior works have not analyzed this type of distortion. In this paper, we investigate the impact of residual transceiver hardware impairments on the MIMO system performance. In particular, we consider a transceiver impairment model, which has been experimentally validated, and derive analytical ergodic capacity expressions for both exact and high signal-to-noise ratios (SNRs). We demonstrate that the capacity saturates in the high-SNR regime,…
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