Virtual pilot signal for massive MIMO-OFDM systems

Sunho Park; Jun Won Choi; Ji Yun Seol; Byonghyo Shim

doi:10.1109/ITA.2014.6804285

Virtual pilot signal for massive MIMO-OFDM systems

Sunho Park, Jun Won Choi, Ji Yun Seol, Byonghyo Shim

Department of Computer Science and Engineering

Research output: Contribution to conference › Paper › peer-review

3 Citations (Scopus)

Abstract

A technology exploiting large number of antennas into the wireless transceiver, often called massive MIMO technology, has been received great attention in recent years. The benefits of this approach, however, can be realized only when the quality of estimated channel is ensured at both transmitter and receiver. In this paper, we propose a new channel estimation technique dealing with the pilot shortage in the massive MIMO systems. In a nutshell, we employ reliable data tones obtained from the iterative deteciton and decoding (IDD) as well as pilot signals in the estimation of channels. We show that the proposed method achieves substantial performance gain over conventional approaches employing pilot signals exclusively.

Original language	English
DOIs	https://doi.org/10.1109/ITA.2014.6804285
Publication status	Published - 2014
Event	2014 IEEE Information Theory and Applications Workshop, ITA 2014 - San Diego, CA, United States Duration: 2014 Feb 9 → 2014 Feb 14

Other

Other	2014 IEEE Information Theory and Applications Workshop, ITA 2014
Country/Territory	United States
City	San Diego, CA
Period	14/2/9 → 14/2/14

ASJC Scopus subject areas

Computer Science Applications
Information Systems

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10.1109/ITA.2014.6804285

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title = "Virtual pilot signal for massive MIMO-OFDM systems",

abstract = "A technology exploiting large number of antennas into the wireless transceiver, often called massive MIMO technology, has been received great attention in recent years. The benefits of this approach, however, can be realized only when the quality of estimated channel is ensured at both transmitter and receiver. In this paper, we propose a new channel estimation technique dealing with the pilot shortage in the massive MIMO systems. In a nutshell, we employ reliable data tones obtained from the iterative deteciton and decoding (IDD) as well as pilot signals in the estimation of channels. We show that the proposed method achieves substantial performance gain over conventional approaches employing pilot signals exclusively.",

author = "Sunho Park and Choi, {Jun Won} and Seol, {Ji Yun} and Byonghyo Shim",

year = "2014",

doi = "10.1109/ITA.2014.6804285",

language = "English",

note = "2014 IEEE Information Theory and Applications Workshop, ITA 2014 ; Conference date: 09-02-2014 Through 14-02-2014",

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T1 - Virtual pilot signal for massive MIMO-OFDM systems

AU - Park, Sunho

AU - Choi, Jun Won

AU - Seol, Ji Yun

AU - Shim, Byonghyo

PY - 2014

Y1 - 2014

N2 - A technology exploiting large number of antennas into the wireless transceiver, often called massive MIMO technology, has been received great attention in recent years. The benefits of this approach, however, can be realized only when the quality of estimated channel is ensured at both transmitter and receiver. In this paper, we propose a new channel estimation technique dealing with the pilot shortage in the massive MIMO systems. In a nutshell, we employ reliable data tones obtained from the iterative deteciton and decoding (IDD) as well as pilot signals in the estimation of channels. We show that the proposed method achieves substantial performance gain over conventional approaches employing pilot signals exclusively.

AB - A technology exploiting large number of antennas into the wireless transceiver, often called massive MIMO technology, has been received great attention in recent years. The benefits of this approach, however, can be realized only when the quality of estimated channel is ensured at both transmitter and receiver. In this paper, we propose a new channel estimation technique dealing with the pilot shortage in the massive MIMO systems. In a nutshell, we employ reliable data tones obtained from the iterative deteciton and decoding (IDD) as well as pilot signals in the estimation of channels. We show that the proposed method achieves substantial performance gain over conventional approaches employing pilot signals exclusively.

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T2 - 2014 IEEE Information Theory and Applications Workshop, ITA 2014

Y2 - 9 February 2014 through 14 February 2014

ER -

Virtual pilot signal for massive MIMO-OFDM systems

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