NDLI: Adaptive location-based millimetre wave beamforming using compressive sensing based channel estimation

Content Provider	IET Digital Library
Author	Abdelreheem, Ahmed Mohamed, Ehab Mahmoud Esmaiel, Hamada
Abstract	Analogue beamforming is normally used in conjunction with millimetre wave (mmWave) communications to overcome the high propagation and penetration losses inherent in mmWave transmissions. Thus, producing a high-efficient mmWave beamforming using low beamforming training (BT) complexity turns to be a big challenge towards ubiquitous mmWave communications. In this study, low-complex and high-efficient adaptive mmWave BT using compressive sensing (CS) based channel estimation is introduced utilising mobile station (MS) localisation. In which, MS positioning is used to estimate the ranges of angle of departures and angle of arrivals of the mmWave channel considering the statistics of its angular spread. Then, an adaptive multi-level beam search using CS-based channel estimation is used to estimate the best transmit/receive beam for establishing the mmWave link. Thus, the antenna weight vectors of each beam searching level, i.e. the beamwidth and the number of beams, used for constructing the sensing matrix are adaptively adjusted. The high potency of the proposed mmWave BT scheme over the conventional ones in both BT complexity and performance is proved by the means of mathematical and simulation analysis.
Starting Page	1287
Ending Page	1296
Page Count	10
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 9, Jun (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.5797
Journal	IET Communications
Publisher Date	2019-02-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Location-based Analogue Beamforming Array Signal Processing Beam Searching Level Beamforming Training Complexity Channel Estimation Communication Channel Equalisation And Identification Compressed Sensing Compressive Sensing Based Channel Estimation CS-based Channel Estimation High Propagation Loss High-efficient MmWave Beamforming Millimetre Wave Antenna Millimetre Wave Communication MmWave BT Scheme MmWave Channel MmWave Link MmWave Transmissions Mobile Radio System MS Positioning Multilevel Beam Search Penetration Loss Sensing Matrix Signal Processing And Detection Single Antenna Ubiquitous MmWave Communication Utilising Mobile Station Localisation Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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