MIMO transmission with residual transmit-RF impairments

By Christoph Studer, Markus Wenk, Andreas Peter Burg. International ITG Workshop on Smart Antennas, 2010

306 citations recorded by the source corpus.

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).

View Paper: https://www.semanticscholar.org/paper/1368ca981b7c05db59e6ae899e521cb3064d1691

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Citations in the corpus

Hybrid Beamforming for Massive MIMO - A Survey (2016, background): “The residual transceiver impairments at TX and RX are characterized by error-vector magnitude of −20 dB [78].”
Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, methodology): “We assume that the elements of ξ are uncorrelated, which can be confirmed by measurements on decoupled antenna branches [224, 254, 319].”
Massive MIMO Systems for 5G and beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction (2020, background): “The use of a low-cost component will increase the hardware imperfections such as phase noise, magnetization noise, amplifier distortion, and IQ imbalance [116].”
A Comprehensive Survey of Pilot Contamination in Massive MIMO—5G System (2016, background): “However, modeling of aggregate residual transceiver impairments is considered more important to system performance rather than the modeling of individual components [41], [86], [88].”