An Overview of Signal Processing Techniques for Terahertz Communications

Terahertz (THz)-band communications are a key enabler for future-generation wireless communication systems that promise to integrate a wide range of data-demanding applications. Recent advances in photonic, electronic, and plasmonic technologies are closing the gap in THz transceiver design. Consequ...

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Veröffentlicht in:Proceedings of the IEEE Jg. 109; H. 10; S. 1628 - 1665
Hauptverfasser: Sarieddeen, Hadi, Alouini, Mohamed-Slim, Al-Naffouri, Tareq Y.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.10.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Array signal processing
Beamforming
Intelligent reflecting surfaces (IRSs)
Modulation
Photonics
Power demand
Receivers
Signal generation
Signal processing
terabit-per-second
terahertz (THz) communications
Terahertz frequencies
ultramassive multiple-input multiple-output (UM-MIMO)
Very high frequencies
Waveforms
Wireless communication
Wireless communication systems
ISSN:0018-9219, 1558-2256
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Zusammenfassung:Terahertz (THz)-band communications are a key enabler for future-generation wireless communication systems that promise to integrate a wide range of data-demanding applications. Recent advances in photonic, electronic, and plasmonic technologies are closing the gap in THz transceiver design. Consequently, prospect THz signal generation, modulation, and radiation methods are converging, and corresponding channel model, noise, and hardware-impairment notions are emerging. Such progress establishes a foundation for well-grounded research into THz-specific signal processing techniques for wireless communications. This tutorial overviews these techniques, emphasizing ultramassive multiple-input-multiple-output (UM-MIMO) systems and reconfigurable intelligent surfaces, vital for overcoming the distance problem at very high frequencies. We focus on the classical problems of waveform design and modulation, beamforming and precoding, index modulation, channel estimation, channel coding, and data detection. We also motivate signal processing techniques for THz sensing and localization.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0018-9219
1558-2256
DOI:10.1109/JPROC.2021.3100811