Information Theoretic Performance of Periodogram-based CFO Estimation in Massive MU-MIMO Systems
Abstract
In this paper, we study the information theoretic performance of the modified time-reversal maximum ratio combining (TR-MRC) receiver (presented in [9]) with the spatially averaged periodogram-based carrier frequency offset (CFO) estimator (proposed in [7]) in multi-user massive MIMO systems. Our analysis shows that an array gain is achieved with this periodogram-based CFO estimator, which is same as the array gain achieved in the ideal/zero CFO scenario ( is the number of base station antennas). Information theoretic performance comparison with the correlation-based CFO estimator for massive MIMO systems (proposed in [6]) reveals that this periodogram-based CFO estimator is more energy efficient in slowly time-varying channels.
Cite
@article{arxiv.1611.04846,
title = {Information Theoretic Performance of Periodogram-based CFO Estimation in Massive MU-MIMO Systems},
author = {Sudarshan Mukherjee and Saif Khan Mohammed},
journal= {arXiv preprint arXiv:1611.04846},
year = {2016}
}
Comments
Submitted to IEEE ICC 2017. arXiv admin note: text overlap with arXiv:1605.06275