Location-Based Millimeter Wave Multi-Level Beamforming Using Compressive Sensing

Ahmed Abdelreheem; Ehab Mahmoud Mohamed; Hamada Esmaiel

doi:10.1109/LCOMM.2017.2766629

Location-Based Millimeter Wave Multi-Level Beamforming Using Compressive Sensing

Ahmed Abdelreheem
, Ehab Mahmoud Mohamed
, Hamada Esmaiel

Aswan University

Research output: Contribution to journal › Article › peer-review

61 Scopus citations

Abstract

In this letter, a novel millimeter wave (mmWave) multi-level beamforming (BF) is proposed. User positioning is used for roughly defining the area within which the mobile station (MS) is properly located. Based on this, a multi-level beam search is conducted using compressive sensing-based channel estimation to find out the transmit/receive beams for establishing the mmWave link. The estimated MS location-uncertainty area is used to determine the number of beams along with the beamwidth required for constructing the sensing matrix used in each beam searching level. Mathematical and simulation analysis confirm the superiority of the proposed BF scheme over the conventional ones in both BF complexity and performance.

Original language	English
Article number	8085191
Pages (from-to)	185-188
Number of pages	4
Journal	IEEE Communications Letters
Volume	22
Issue number	1
DOIs	https://doi.org/10.1109/LCOMM.2017.2766629
State	Published - Jan 2018
Externally published	Yes

Keywords

Beamforming
channel estimation
compressive sensing
millimeter wave

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10.1109/LCOMM.2017.2766629

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title = "Location-Based Millimeter Wave Multi-Level Beamforming Using Compressive Sensing",

abstract = "In this letter, a novel millimeter wave (mmWave) multi-level beamforming (BF) is proposed. User positioning is used for roughly defining the area within which the mobile station (MS) is properly located. Based on this, a multi-level beam search is conducted using compressive sensing-based channel estimation to find out the transmit/receive beams for establishing the mmWave link. The estimated MS location-uncertainty area is used to determine the number of beams along with the beamwidth required for constructing the sensing matrix used in each beam searching level. Mathematical and simulation analysis confirm the superiority of the proposed BF scheme over the conventional ones in both BF complexity and performance.",

keywords = "Beamforming, channel estimation, compressive sensing, millimeter wave",

author = "Ahmed Abdelreheem and Mohamed, \{Ehab Mahmoud\} and Hamada Esmaiel",

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year = "2018",

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AU - Abdelreheem, Ahmed

AU - Mohamed, Ehab Mahmoud

AU - Esmaiel, Hamada

PY - 2018/1

Y1 - 2018/1

N2 - In this letter, a novel millimeter wave (mmWave) multi-level beamforming (BF) is proposed. User positioning is used for roughly defining the area within which the mobile station (MS) is properly located. Based on this, a multi-level beam search is conducted using compressive sensing-based channel estimation to find out the transmit/receive beams for establishing the mmWave link. The estimated MS location-uncertainty area is used to determine the number of beams along with the beamwidth required for constructing the sensing matrix used in each beam searching level. Mathematical and simulation analysis confirm the superiority of the proposed BF scheme over the conventional ones in both BF complexity and performance.

AB - In this letter, a novel millimeter wave (mmWave) multi-level beamforming (BF) is proposed. User positioning is used for roughly defining the area within which the mobile station (MS) is properly located. Based on this, a multi-level beam search is conducted using compressive sensing-based channel estimation to find out the transmit/receive beams for establishing the mmWave link. The estimated MS location-uncertainty area is used to determine the number of beams along with the beamwidth required for constructing the sensing matrix used in each beam searching level. Mathematical and simulation analysis confirm the superiority of the proposed BF scheme over the conventional ones in both BF complexity and performance.

KW - Beamforming

KW - channel estimation

KW - compressive sensing

KW - millimeter wave

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DO - 10.1109/LCOMM.2017.2766629

M3 - Article

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SN - 1089-7798

VL - 22

SP - 185

EP - 188

JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 1

M1 - 8085191

ER -

Location-Based Millimeter Wave Multi-Level Beamforming Using Compressive Sensing

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Keywords

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