Training Based DOA Estimation in Hybrid mmWave Massive MIMO Systems

Dian Fan; Yansha Deng; Feifei Gao; Yuanwei Liu; Gongpu Wang; Zhangdui Zhong; Arumugam Nallanathan

doi:10.1109/GLOCOM.2017.8254826

Training Based DOA Estimation in Hybrid mmWave Massive MIMO Systems

Dian Fan, Yansha Deng, Feifei Gao, Yuanwei Liu, Gongpu Wang, Zhangdui Zhong, Arumugam Nallanathan

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

8 Citations (Scopus)

Abstract

This paper proposes a novel direction of arrival (DOA) estimation for hybrid millimeter wave (mmWave) massive MIMO systems with the uniform planar array (UPA) at base station (BS). To explore the physical characteristics of antenna array in mmWave systems, the parameters of each channel path are decomposed into the DOA information and the channel gain information. We first estimate the initial DOAs of each uplink path through the two dimension discrete Fourier transform (2D-DFT) efficiently, and then the estimation accuracy can be further enhanced via the angle rotation technique. To examine the estimation performance, we derive the theoretical bounds of the mean squared error (MSE) performance of the DOA estimation in high signal-to-noise ratio (SNR) region. Simulation results are provided to corroborate the proposed studies, and show that the proposed DOA estimation method is close to the theoretical MSE performance.

Original language	English
Title of host publication	2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
Volume	2018-January
ISBN (Electronic)	9781509050192
DOIs	https://doi.org/10.1109/GLOCOM.2017.8254826
Publication status	Published - 10 Jan 2018
Event	2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore Duration: 4 Dec 2017 → 8 Dec 2017

Conference

Conference	2017 IEEE Global Communications Conference, GLOBECOM 2017
Country/Territory	Singapore
City	Singapore
Period	4/12/2017 → 8/12/2017

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10.1109/GLOCOM.2017.8254826

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title = "Training Based DOA Estimation in Hybrid mmWave Massive MIMO Systems",

abstract = "This paper proposes a novel direction of arrival (DOA) estimation for hybrid millimeter wave (mmWave) massive MIMO systems with the uniform planar array (UPA) at base station (BS). To explore the physical characteristics of antenna array in mmWave systems, the parameters of each channel path are decomposed into the DOA information and the channel gain information. We first estimate the initial DOAs of each uplink path through the two dimension discrete Fourier transform (2D-DFT) efficiently, and then the estimation accuracy can be further enhanced via the angle rotation technique. To examine the estimation performance, we derive the theoretical bounds of the mean squared error (MSE) performance of the DOA estimation in high signal-to-noise ratio (SNR) region. Simulation results are provided to corroborate the proposed studies, and show that the proposed DOA estimation method is close to the theoretical MSE performance.",

author = "Dian Fan and Yansha Deng and Feifei Gao and Yuanwei Liu and Gongpu Wang and Zhangdui Zhong and Arumugam Nallanathan",

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note = "2017 IEEE Global Communications Conference, GLOBECOM 2017 ; Conference date: 04-12-2017 Through 08-12-2017",

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Fan, D, Deng, Y, Gao, F, Liu, Y, Wang, G, Zhong, Z & Nallanathan, A 2018, Training Based DOA Estimation in Hybrid mmWave Massive MIMO Systems. in 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2017 IEEE Global Communications Conference, GLOBECOM 2017, Singapore, Singapore, 4/12/2017. https://doi.org/10.1109/GLOCOM.2017.8254826

Training Based DOA Estimation in Hybrid mmWave Massive MIMO Systems. / Fan, Dian; Deng, Yansha; Gao, Feifei et al.
2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

TY - CHAP

T1 - Training Based DOA Estimation in Hybrid mmWave Massive MIMO Systems

AU - Fan, Dian

AU - Deng, Yansha

AU - Gao, Feifei

AU - Liu, Yuanwei

AU - Wang, Gongpu

AU - Zhong, Zhangdui

AU - Nallanathan, Arumugam

PY - 2018/1/10

Y1 - 2018/1/10

N2 - This paper proposes a novel direction of arrival (DOA) estimation for hybrid millimeter wave (mmWave) massive MIMO systems with the uniform planar array (UPA) at base station (BS). To explore the physical characteristics of antenna array in mmWave systems, the parameters of each channel path are decomposed into the DOA information and the channel gain information. We first estimate the initial DOAs of each uplink path through the two dimension discrete Fourier transform (2D-DFT) efficiently, and then the estimation accuracy can be further enhanced via the angle rotation technique. To examine the estimation performance, we derive the theoretical bounds of the mean squared error (MSE) performance of the DOA estimation in high signal-to-noise ratio (SNR) region. Simulation results are provided to corroborate the proposed studies, and show that the proposed DOA estimation method is close to the theoretical MSE performance.

AB - This paper proposes a novel direction of arrival (DOA) estimation for hybrid millimeter wave (mmWave) massive MIMO systems with the uniform planar array (UPA) at base station (BS). To explore the physical characteristics of antenna array in mmWave systems, the parameters of each channel path are decomposed into the DOA information and the channel gain information. We first estimate the initial DOAs of each uplink path through the two dimension discrete Fourier transform (2D-DFT) efficiently, and then the estimation accuracy can be further enhanced via the angle rotation technique. To examine the estimation performance, we derive the theoretical bounds of the mean squared error (MSE) performance of the DOA estimation in high signal-to-noise ratio (SNR) region. Simulation results are provided to corroborate the proposed studies, and show that the proposed DOA estimation method is close to the theoretical MSE performance.

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M3 - Conference paper

VL - 2018-January

SP - 1

EP - 6

BT - 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE Global Communications Conference, GLOBECOM 2017

Y2 - 4 December 2017 through 8 December 2017

ER -

Training Based DOA Estimation in Hybrid mmWave Massive MIMO Systems

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