Frequency Synchronization with Beamforming Network Optimization for Uplink Massive MIMO Systems

Yunqi Feng; Weile Zhang; Yinghao Ge

doi:10.1109/TVT.2020.2969550

Frequency Synchronization with Beamforming Network Optimization for Uplink Massive MIMO Systems

Yunqi Feng
, Weile Zhang
, Yinghao Ge

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

In this correspondence, we develop a novel frequency synchronization scheme for multiuser orthogonal frequency division multiplexing (OFDM) uplink with massive uniform linear array (ULA) at base station (BS). With proper user scheduling strategy, the directions of arrival (DOAs) of all users are considered to be disjunct. Our proposed method performs multiuser interference (MUI) cancellation through beamforming network, after which the multiuser OFDM uplink model can be decomposed into a set of parallel single user models. Then, carrier frequency offset (CFO) estimation for each user can be performed individually. The beamforming network is further optimized to minimize the mean square error (MSE) of the CFO estimation. The provided numerical results validate the proposed studies.

Original language	English
Article number	8970325
Pages (from-to)	3486-3490
Number of pages	5
Journal	IEEE Transactions on Vehicular Technology
Volume	69
Issue number	3
DOIs	https://doi.org/10.1109/TVT.2020.2969550
State	Published - Mar 2020

Keywords

beamforming network optimization
Carrier frequency offset (CFO)
Massive MIMO

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10.1109/TVT.2020.2969550

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title = "Frequency Synchronization with Beamforming Network Optimization for Uplink Massive MIMO Systems",

abstract = "In this correspondence, we develop a novel frequency synchronization scheme for multiuser orthogonal frequency division multiplexing (OFDM) uplink with massive uniform linear array (ULA) at base station (BS). With proper user scheduling strategy, the directions of arrival (DOAs) of all users are considered to be disjunct. Our proposed method performs multiuser interference (MUI) cancellation through beamforming network, after which the multiuser OFDM uplink model can be decomposed into a set of parallel single user models. Then, carrier frequency offset (CFO) estimation for each user can be performed individually. The beamforming network is further optimized to minimize the mean square error (MSE) of the CFO estimation. The provided numerical results validate the proposed studies.",

keywords = "beamforming network optimization, Carrier frequency offset (CFO), Massive MIMO",

author = "Yunqi Feng and Weile Zhang and Yinghao Ge",

note = "Publisher Copyright: {\textcopyright} 1967-2012 IEEE.",

year = "2020",

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doi = "10.1109/TVT.2020.2969550",

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T1 - Frequency Synchronization with Beamforming Network Optimization for Uplink Massive MIMO Systems

AU - Feng, Yunqi

AU - Zhang, Weile

AU - Ge, Yinghao

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N2 - In this correspondence, we develop a novel frequency synchronization scheme for multiuser orthogonal frequency division multiplexing (OFDM) uplink with massive uniform linear array (ULA) at base station (BS). With proper user scheduling strategy, the directions of arrival (DOAs) of all users are considered to be disjunct. Our proposed method performs multiuser interference (MUI) cancellation through beamforming network, after which the multiuser OFDM uplink model can be decomposed into a set of parallel single user models. Then, carrier frequency offset (CFO) estimation for each user can be performed individually. The beamforming network is further optimized to minimize the mean square error (MSE) of the CFO estimation. The provided numerical results validate the proposed studies.

AB - In this correspondence, we develop a novel frequency synchronization scheme for multiuser orthogonal frequency division multiplexing (OFDM) uplink with massive uniform linear array (ULA) at base station (BS). With proper user scheduling strategy, the directions of arrival (DOAs) of all users are considered to be disjunct. Our proposed method performs multiuser interference (MUI) cancellation through beamforming network, after which the multiuser OFDM uplink model can be decomposed into a set of parallel single user models. Then, carrier frequency offset (CFO) estimation for each user can be performed individually. The beamforming network is further optimized to minimize the mean square error (MSE) of the CFO estimation. The provided numerical results validate the proposed studies.

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KW - Carrier frequency offset (CFO)

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JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

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ER -

Frequency Synchronization with Beamforming Network Optimization for Uplink Massive MIMO Systems

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Keywords

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