Sabeti, Parna, Farhang, Arman, Marchetti, Nicola and Doyle, Linda E. (2018) CFO Estimation for OFDM-based Massive MIMO Systems in Asymptotic Regime. In: 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE. ISBN 9781538647523
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Abstract
Massive multiple input multiple output (MIMO)
plays a pivotal role in the fifth generation (5G) wireless networks.
However, the carrier frequency offset (CFO) estimation is a challenging issue in the uplink of multi-user massive MIMO systems.
In fact, frequency synchronization can impose a considerable
amount of computational complexity to the base station (BS)
due to a large number of BS antennas. In this paper, thanks
to the properties of massive MIMO in the asymptotic regime,
we develop a simple synchronization technique and derive a
closed form equation for CFO estimation. We show that the phase
information of the covariance matrix of the received signals is
solely dependent on the users’ CFOs. Hence, if a real-valued pilot
is chosen, the CFO values can be straightforwardly calculated
from this matrix. Hence, there is no need to deal with a complex
optimization problem like the other existing CFO estimation
techniques in the literature. Our simulation results testify the
efficacy of our proposed CFO estimation technique. As we have
shown, the performance of our method does not deteriorate as
the number of users increases.
Item Type: | Book Section |
---|---|
Keywords: | CFO Estimation; OFDM-Based Massive MIMO Systems; Asymptotic Regime; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 13426 |
Identification Number: | 10.1109/SAM.2018.8448654 |
Depositing User: | Arman Farhang |
Date Deposited: | 08 Oct 2020 14:05 |
Publisher: | IEEE |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/13426 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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