Multiuser Parallel Transmission with 1-tap Time Domain Beamforming by Millimeter Wave Massive Antenna Arrays

Kazuki Maruta

Multiuser Parallel Transmission with 1-tap Time Domain Beamforming by Millimeter Wave Massive Antenna Arrays

Kazuki Maruta * §

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§ Nippon Telegraph and Telephone Corporation

Multiuser Parallel Transmission with 1-tap Time Domain Beamforming by Millimeter Wave Massive Antenna Arrays

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Abstract

This paper investigates the feasibility of multiuser parallel transmission by sub-array beamforming using millimeter wave bands in which the Line-of-Sight (LoS) dominant channel environment is expected. Focusing on high beamforming gain provided by the massive antenna array, each sub-array conducts first eigenmode transmission and thus one stream is allocated per user without null steering. This paper also proposes 1-tap time domain beamforming (TDBF) as the same weight is applied to all frequency components.

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29 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Kazuki Maruta. 2016. "Multiuser Parallel Transmission with 1-tap Time Domain Beamforming by Millimeter Wave Massive Antenna Arrays". Global Journal of Computer Science and Technology - A: Hardware & Computation GJCST-A Volume 16 (GJCST Volume 16 Issue A1).

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GJCST Volume 16 Issue A1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-A Classification D.4.4

C.1.4

Submission ReceivedDecember 8, 2015
Peer Review Double Blind
Handling Editor
Accepted January 2, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

September 13, 2016

Language

English

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Article Matrices

Total Score: 192

Country: Japan

Subject: Global Journal of Computer Science and Technology

Authors: Kazuki Maruta, Atsushi Ohta, Takuto Arai, Tatsuhiko Iwakuni, Yushi Shirato, Satoshi Kurosaki, Masataka Iizuka (PhD/Dr. count: 0)

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Publish Date: 2016 01, Fri

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Total Views: 2.5K

Total Downloads: 118

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