Position-Aided Large-Scale MIMO Channel Estimation for High-Speed Railway Communication Systems

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Position-Aided Large-Scale MIMO Channel Estimation for High-Speed Railway Communication Systems. / Li, Tao; Wang, Xiaodong; Fan, Pingyi; Riihonen, Taneli.

julkaisussa: IEEE Transactions on Vehicular Technology, Vuosikerta 66, Nro 10, 10.2017, s. 8964-8978.

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

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Li, Tao ; Wang, Xiaodong ; Fan, Pingyi ; Riihonen, Taneli. / Position-Aided Large-Scale MIMO Channel Estimation for High-Speed Railway Communication Systems. Julkaisussa: IEEE Transactions on Vehicular Technology. 2017 ; Vuosikerta 66, Nro 10. Sivut 8964-8978.

Bibtex - Lataa

@article{071a578d51f34bb1841880b1aece82f1,
title = "Position-Aided Large-Scale MIMO Channel Estimation for High-Speed Railway Communication Systems",
abstract = "We consider channel estimation for high-speed railway communication systems, where both the transmitter and the receiver are equipped with large-scale antenna arrays. It is known that the throughput of conventional training schemes monotonically decreases with the mobility. Assuming that the moving terminal employs a large linear antenna array, this paper proposes a position-aided channel estimation scheme whereby only a portion of the transmit antennas send pilot symbols and the full channel matrix can be well estimated by using these pilots together with the antenna position information based on the joint spatial-temporal correlation. The relationship between mobility and throughput/DoF is established. Furthermore, the optimal selections of transmit power and time interval partition between the training and data phases as well as the antenna size are presented accordingly. Both analytical and simulation results show that the system throughput with the position-aided channel estimator does not deteriorate appreciably as the mobility increases, which is sharply in contrast with the conventional one.",
keywords = "Channel estimation, degree of freedom (DoF), high-speed railway communications, joint spatio-temporal correlation, large-scale MIMO, linear antenna array, throughput, FADING CHANNELS, MASSIVE MIMO, WIRELESS COMMUNICATIONS, ANTENNA SYSTEMS, NETWORKS, CAPACITY, PERFECT, TRAINS, NEED",
author = "Tao Li and Xiaodong Wang and Pingyi Fan and Taneli Riihonen",
year = "2017",
month = "10",
doi = "10.1109/TVT.2017.2703595",
language = "English",
volume = "66",
pages = "8964--8978",
journal = "IEEE Transactions on Vehicular Technology",
issn = "0018-9545",
number = "10",

}

RIS - Lataa

TY - JOUR

T1 - Position-Aided Large-Scale MIMO Channel Estimation for High-Speed Railway Communication Systems

AU - Li, Tao

AU - Wang, Xiaodong

AU - Fan, Pingyi

AU - Riihonen, Taneli

PY - 2017/10

Y1 - 2017/10

N2 - We consider channel estimation for high-speed railway communication systems, where both the transmitter and the receiver are equipped with large-scale antenna arrays. It is known that the throughput of conventional training schemes monotonically decreases with the mobility. Assuming that the moving terminal employs a large linear antenna array, this paper proposes a position-aided channel estimation scheme whereby only a portion of the transmit antennas send pilot symbols and the full channel matrix can be well estimated by using these pilots together with the antenna position information based on the joint spatial-temporal correlation. The relationship between mobility and throughput/DoF is established. Furthermore, the optimal selections of transmit power and time interval partition between the training and data phases as well as the antenna size are presented accordingly. Both analytical and simulation results show that the system throughput with the position-aided channel estimator does not deteriorate appreciably as the mobility increases, which is sharply in contrast with the conventional one.

AB - We consider channel estimation for high-speed railway communication systems, where both the transmitter and the receiver are equipped with large-scale antenna arrays. It is known that the throughput of conventional training schemes monotonically decreases with the mobility. Assuming that the moving terminal employs a large linear antenna array, this paper proposes a position-aided channel estimation scheme whereby only a portion of the transmit antennas send pilot symbols and the full channel matrix can be well estimated by using these pilots together with the antenna position information based on the joint spatial-temporal correlation. The relationship between mobility and throughput/DoF is established. Furthermore, the optimal selections of transmit power and time interval partition between the training and data phases as well as the antenna size are presented accordingly. Both analytical and simulation results show that the system throughput with the position-aided channel estimator does not deteriorate appreciably as the mobility increases, which is sharply in contrast with the conventional one.

KW - Channel estimation

KW - degree of freedom (DoF)

KW - high-speed railway communications

KW - joint spatio-temporal correlation

KW - large-scale MIMO

KW - linear antenna array

KW - throughput

KW - FADING CHANNELS

KW - MASSIVE MIMO

KW - WIRELESS COMMUNICATIONS

KW - ANTENNA SYSTEMS

KW - NETWORKS

KW - CAPACITY

KW - PERFECT

KW - TRAINS

KW - NEED

U2 - 10.1109/TVT.2017.2703595

DO - 10.1109/TVT.2017.2703595

M3 - Article

VL - 66

SP - 8964

EP - 8978

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 10

ER -

ID: 16965470