Bias-variance tradeoff in MIMO channel estimation
Signal Processing
2018-04-27 v3 Information Theory
Networking and Internet Architecture
math.IT
Abstract
Channel estimation is challenging in multi-antenna communication systems, because of the large number of parameters to estimate. It is possible to facilitate this task by using a physical model describing the multiple paths constituting the channel, in the hope of reducing the number of unknowns in the problem. Adjusting the number of estimated paths leads to a bias-variance tradeoff. This paper explores this tradeoff, aiming to find the optimal number of paths to estimate. Moreover, the approach based on a physical model is compared to the classical least squares and Bayesian techniques. Finally, the impact of channel estimation error on the system data rate is assessed.
Keywords
Cite
@article{arxiv.1804.07529,
title = {Bias-variance tradeoff in MIMO channel estimation},
author = {Luc Le Magoarou and Stéphane Paquelet},
journal= {arXiv preprint arXiv:1804.07529},
year = {2018}
}