MIMO Transmission with Residual Transmit-RF Impairments

Abstract

Physical transceiver implementations for multiple-input multiple-output (MIMO) wireless communication systems suffer from transmit-RF (Tx-RF) impairments. In this paper, we study the effect on channel capacity and error-rate performance of residual Tx-RF impairments that defy proper compensation. In particular, we demonstrate that such residual distortions severely degrade the performance of (near-)optimum MIMO detection algorithms. To mitigate this performance loss, we propose an efficient algorithm, which is based on an i.i.d. Gaussian model for the distortion caused by these impairments. In order to validate this model, we provide measurement results based on a 4-stream Tx-RF chain implementation for MIMO orthogonal frequency-division multiplexing (OFDM).

to be presented at the International ITG Workshop on Smart Antennas - WSA 2010

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• Distributed Spatial Multiplexing Systems with Hardware Impairments and Imperfect Channel Estimation under Rank-$1$ Rician Fading Channels
• On the Joint Impact of Hardware Impairments and Imperfect CSI on Successive Decoding
• VLSI Design of a Nonparametric Equalizer for Massive MU-MIMO
• Atomic Norm Denoising-Based Joint Channel Estimation and Faulty Antenna Detection for Massive MIMO