Impact of Power Amplifier Nonlinearities in Multi-User Massive MIMO Downlink
Authors:
- Orod RaeesiOROrod Raeesi
- Lauri AntillaLALauri Antilla
- Aki HakkarainenAHAki Hakkarainen
- Joao VieiraJVJoao Vieira
- Fredrik TufvessonFTFredrik Tufvesson
- Qimei CuiQCQimei Cui
- Mikko ValkamaMVMikko Valkama
- 1 December 2015
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 61, 1-7
Abstract
In this paper, we investigate the impact of power amplifier (PA) nonlinear distortion in pre-coded multi-user large antenna or massive MIMO downlink systems. First, detailed signal and system models are derived for the received signal at single-antenna user equipment (UE) under channel-aware linear precoding in the base-station combined with behavioral models for the individual PA units, covering both single-carrier and multi-carrier modulation schemes. Based on the derived models, it is shown that the PA induced nonlinear distortion can also combine coherently in the channel, depending on the relative differences between the phase characteristics of the different PA units and the corresponding distortion terms. Furthermore, it is also shown that the impact of nonlinear PAs and the resulting linear and nonlinear multi-user interference, quantified in terms of the received signal-to- interference-plus-noise ratio (SINR), is largely dependent on the effective or observable linear gain in the UE receiver demodulation stage. By observing only the instantaneous direct linear gain, the PA induced nonlinear distortion has a substantial impact on the effective SINR, even if very large number of TX antennas is adopted relative to the number of spatially multiplexed UEs. On the other hand, if the statistically averaged linear gain can be observed, the impact of nonlinear PAs is far less severe. These findings give thus new insight, not only to the core impact of nonlinear PAs in massive MIMO systems but also to the downlink reference signal design, radio frame design and radio resource management in time, in order to facilitate the estimation of the statistically averaged linear gains in the receivers within the scheduled transmission and processing blocks.Keywords
This publication has 13 references indexed in Scilit:
- Impact of Residual Transmit RF Impairments on Training-Based MIMO SystemsIEEE Transactions on Communications, 2015
- Precoded massive MU-MIMO uplink transmission under transceiver I/Q imbalance2014
- On the impact of hardware impairments on massive MIMO2014
- Uplink Performance of Time-Reversal MRC in Massive MIMO Systems Subject to Phase NoiseIEEE Transactions on Wireless Communications, 2014
- Massive MIMO Systems With Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity LimitsIEEE Transactions on Information Theory, 2014
- An Overview of Massive MIMO: Benefits and ChallengesIEEE Journal of Selected Topics in Signal Processing, 2014
- Five disruptive technology directions for 5GIEEE Communications Magazine, 2014
- Energy and Spectral Efficiency of Very Large Multiuser MIMO SystemsIEEE Transactions on Communications, 2013
- A Comparative Analysis of the Complexity/Accuracy Tradeoff in Power Amplifier Behavioral ModelsIEEE Transactions on Microwave Theory and Techniques, 2010
- Behavioral modeling and predistortionIEEE Microwave Magazine, 2009