Low-Complexity Hybrid Digital-to-Analog Beamforming for Millimeter-Wave Systems with High User Density

Nair, Manish, Ahmed, Qasim Zeeshan, Wang, Junyuan, Zhu, Huiling (2017) Low-Complexity Hybrid Digital-to-Analog Beamforming for Millimeter-Wave Systems with High User Density. In: 2017 IEEE 85th Vehicular Technology Conference (VTC Spring). . pp. 1-5. IEEE, USA ISBN 978-1-5090-5932-4. E-ISBN 978-1-5090-5933-1. (doi:10.1109/VTCSpring.2017.8108384) (KAR id:71369)

PDF Author's Accepted Manuscript Language: English
Download this file (PDF/551kB)	Preview
Request a format suitable for use with assistive technology e.g. a screenreader
Official URL: https://doi.org/10.1109/VTCSpring.2017.8108384

Abstract

Supporting high user density and improving millimeter- wave (mm-Wave) spectral-efficiency (SE) is imperative in 5G systems. Current hybrid digital-to-analog beamforming (D-A BF) base stations (BS) can only support a particular user per radio frequency (RF) chain, which severely restricts mm-Wave SE. In this paper a novel low-complexity selection combining (LC- SC) is proposed for supporting high user density for mm-Wave BS. When compared with the current state of the art hybrid D-A BF, simulations show that LC-SC can support high user density and attain higher SE

Item Type:	Conference or workshop item (Paper)
DOI/Identification number:	10.1109/VTCSpring.2017.8108384
Uncontrolled keywords:	Radio frequency, Antennas, Three-dimensional displays, 5G mobile communication, Algorithm design and analysis ,Transmission line matrix methods, Resource management
Institutional Unit:	Schools > School of Engineering, Mathematics and Physics > Engineering
Former Institutional Unit:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	M. Nair
Date Deposited:	20 Dec 2018 10:37 UTC
Last Modified:	20 May 2025 10:43 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/71369 (The current URI for this page, for reference purposes)

University of Kent Author Information

Nair, Manish.

Creator's ORCID:	https://orcid.org/0000-0001-7151-8913
CReDIT Contributor Roles:

Ahmed, Qasim Zeeshan.

Creator's ORCID:
CReDIT Contributor Roles:

Wang, Junyuan.

Creator's ORCID:
CReDIT Contributor Roles:

Zhu, Huiling.

Creator's ORCID:	https://orcid.org/0000-0003-3021-5013
CReDIT Contributor Roles:

Depositors only (login required):

Altmetric

Total Views

Total unique views of this page since July 2020. For more details click on the image.