Energy detection using very large antenna array receivers

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Abstract

We propose the use of energy detection for single stream transmission and reception by a very large number of antennas, with primary application to millimeter wave communications. The reason for applying energy detection is low complexity, cost and power efficiency. While both energy detection and millimeter wave communications are limited to short ranges due respectively to noise sensitivity and propagation attenuation, processing by a large number of receive antennas overcomes those shortcomings to provide significant reach extension. This processing is solely based on long-term statistics of the channel and noise, making it robust to user mobility and imperfect channel knowledge.
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We propose the use of energy detection for single stream transmission and reception by a very large number of antennas, with primary application to millimeter wave communications. The reason for applying energy detection is low complexity, cost and power efficiency. While both energy detection and millimeter wave communications are limited to short ranges due respectively to noise sensitivity and propagation attenuation, processing by a large number of receive antennas overcomes those shortcomings to provide significant reach extension. This processing is solely based on long-term statistics of the channel and noise, making it robust to user mobility and imperfect channel knowledge.
Original languageEnglish
Title of host publication48th Asilomar Conference on Signals, Systems, and Computers proceedings
Number of pages5
PublisherIEEE Signal Processing Society
Publication date2014
Pages1034-1038
ISBN (Print)978-1-4799-8295-0
DOI
Publication statusPublished - 2014
Publication categoryResearch
Peer-reviewedYes
Event2014 48th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: 2 Nov 20145 Nov 2014

Conference

Conference2014 48th Asilomar Conference on Signals, Systems and Computers
LandUnited States
ByPacific Grove, CA
Periode02/11/201405/11/2014
SeriesAsilomar Conference on Signals, Systems and Computers. Conference Record
ISSN1058-6393

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