[en] To keep massive MIMO systems cost-efficient, power amplifiers with rather small output dynamic ranges are employed. They may distort the transmit signal and degrade the performance. This paper proposes a distortion aware precoding scheme for realistic scenarios in which RF chains have nonlinear characteristics. The proposed scheme utilizes the method of regularized least-squares (RLS) to jointly compensate the channel impacts and the distortion imposed by the RF chains.
To construct the designed transmit waveform with low computational complexity, an iterative algorithm based on approximate message passing is developed. This algorithm is shown to track
the achievable average signal distortion of the proposed scheme tightly, even for practical system dimensions. The results demonstrate considerable enhancement compared to the state of the art.
Index Terms-Precoding, nonlinear power amplifiers, approximate message passing, regularized least-squares, massive MIMO.
Disciplines :
Computer science
Author, co-author :
Bereyhi, A.
Asaad, S.
Müller, R.R
Chatzinotas, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
RLS Waveform Adaptation for Massive MIMO Systems with Nonlinear Front-End
Publication date :
2019
Event name :
IEEE International Workshop on Signal Processing Advances in Wireless Communication
Event place :
Cannes, France
Event date :
02-07-2019 to 5-07-2019
Audience :
International
Main work title :
IEEE International Workshop on Signal Processing Advances in Wireless Communication
