Massive MIMO processing at the semiconductor edge: Exploiting the system and circuit margins for power savings
Yanxiang Huang, Claude Desset, André Bourdoux, Wim Dehaene, Liesbet Van der Perre
Abstract
Massive MIMO has the potential to bring great spectral and energy efficiency improvements, making it a very promising technology for future wireless systems. Essential to achieve the gains in practice, is the ability to realize the many antenna paths at low complexity. In this paper, we consider the potential of processing at the semiconductor edge by allowing voltage over-scaling and complete antenna signal failures, focusing on the per-antenna digital functionality that dominant the DSP complexity. The impact of the resulting hardware errors on the performance of Massive MIMO transmission is analyzed. It shows that the inherent redundancy in the system brings a solid tolerance to sporadic hardware errors. Potential control tactics are introduced, that could further optimize the operation of the error-prone circuitry. We anticipate that by exploiting the system and circuit margins, up to 40% power reduction could be achieved on the considered DSP functions without sacrificing performance in many traffic scenarios.
BibTeX
@inproceedings{icassp2017_massivemimoproce,
title = {Massive MIMO processing at the semiconductor edge: Exploiting the system and circuit margins for power savings},
author = {Yanxiang Huang and Claude Desset and André Bourdoux and Wim Dehaene and Liesbet Van der Perre},
booktitle = {ICASSP 2017},
year = {2017}
}