A new RF beam training method for multi-user millimeter wave systems

Taeseok Oh; Changick Song; Jaehoon Jung; Inkyu Lee

doi:10.1109/ICC.2017.7997051

A new RF beam training method for multi-user millimeter wave systems

Taeseok Oh, Changick Song, Jaehoon Jung, Inkyu Lee

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

When implementing single radio frequency (RF) chain multi-user (MU) millimeter-wave (mmWave) systems, an RF beamforming algorithm with a short beam training overhead is essential. In this paper, we propose a new MU RF beamforming algorithm based on the conventional RF beam training method in IEEE 802.11ad. Then, we investigate its asymptotic behavior for a large number of users scenario. We show that the proposed scheme approaches the optimal full search scheme with much reduced beam training latency as the number of users grows. Our simulation results demonstrate that a performance gain of the proposed method over the full search method is about 35% in practical MU mmWave environments in terms of the effective data rate.

Original language	English
Title of host publication	2017 IEEE International Conference on Communications, ICC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467389990
DOIs	https://doi.org/10.1109/ICC.2017.7997051
Publication status	Published - 2017 Jul 28
Event	2017 IEEE International Conference on Communications, ICC 2017 - Paris, France Duration: 2017 May 21 → 2017 May 25

Other

Other	2017 IEEE International Conference on Communications, ICC 2017
Country	France
City	Paris
Period	17/5/21 → 17/5/25

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC.2017.7997051

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Cite this

Oh, T, Song, C, Jung, J & Lee, I 2017, A new RF beam training method for multi-user millimeter wave systems. in 2017 IEEE International Conference on Communications, ICC 2017., 7997051, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 17/5/21. https://doi.org/10.1109/ICC.2017.7997051

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abstract = "When implementing single radio frequency (RF) chain multi-user (MU) millimeter-wave (mmWave) systems, an RF beamforming algorithm with a short beam training overhead is essential. In this paper, we propose a new MU RF beamforming algorithm based on the conventional RF beam training method in IEEE 802.11ad. Then, we investigate its asymptotic behavior for a large number of users scenario. We show that the proposed scheme approaches the optimal full search scheme with much reduced beam training latency as the number of users grows. Our simulation results demonstrate that a performance gain of the proposed method over the full search method is about 35% in practical MU mmWave environments in terms of the effective data rate.",

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AB - When implementing single radio frequency (RF) chain multi-user (MU) millimeter-wave (mmWave) systems, an RF beamforming algorithm with a short beam training overhead is essential. In this paper, we propose a new MU RF beamforming algorithm based on the conventional RF beam training method in IEEE 802.11ad. Then, we investigate its asymptotic behavior for a large number of users scenario. We show that the proposed scheme approaches the optimal full search scheme with much reduced beam training latency as the number of users grows. Our simulation results demonstrate that a performance gain of the proposed method over the full search method is about 35% in practical MU mmWave environments in terms of the effective data rate.

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