Information Thermodynamics Communications

Ge, X; Yan, L

Information Thermodynamics Communications

Ge, X Yan, L

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE WIRELESS COMMUNICATIONS, 2023, 30, (2), pp. 130-137
Issue Date:: 2023-04-01

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Field	Value	Language
dc.contributor.author	Ge, X
dc.contributor.author	Yan, L
dc.date.accessioned	2024-05-09T00:43:30Z
dc.date.available	2024-05-09T00:43:30Z
dc.date.issued	2023-04-01
dc.identifier.citation	IEEE WIRELESS COMMUNICATIONS, 2023, 30, (2), pp. 130-137
dc.identifier.issn	1536-1284
dc.identifier.issn	1558-0687
dc.identifier.uri	http://hdl.handle.net/10453/178754
dc.description.abstract	The conventional green communication theory meets great challenges to reduce the energy consumption of the sixth generation (6G) communications systems. In this article, information thermodynamics communications are proposed to depict realistic communications systems for which the physical limits on energy and information are taken into consideration. Based on the Carnot heat engine, the relationships of information and energy in communications systems is first clarified by a schematic diagram of non-equilibrium information thermodynamics communications systems. Moreover, a thermodynamic entropy balance architecture is proposed to optimize the energy efficiency of communications systems. Compared with the energy consumption of conventional parity check circuits, simulation results indicate that the energy consumption of parity check circuits adopting the entropy generation minimization mechanism is reduced by up to 93.8 percent. To overcome the enormous energy consumption problem in the next generation wireless communications systems, it is the time to bridge the conversion gap between information and energy from the physical essence.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE WIRELESS COMMUNICATIONS
dc.relation.isbasedon	10.1109/MWC.012.2100649
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.subject.classification	4006 Communications engineering
dc.subject.classification	4009 Electronics, sensors and digital hardware
dc.subject.classification	4606 Distributed computing and systems software
dc.title	Information Thermodynamics Communications
dc.type	Journal Article
utslib.citation.volume	30
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2024-05-09T00:43:28Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	30
utslib.citation.issue	2

Abstract:

The conventional green communication theory meets great challenges to reduce the energy consumption of the sixth generation (6G) communications systems. In this article, information thermodynamics communications are proposed to depict realistic communications systems for which the physical limits on energy and information are taken into consideration. Based on the Carnot heat engine, the relationships of information and energy in communications systems is first clarified by a schematic diagram of non-equilibrium information thermodynamics communications systems. Moreover, a thermodynamic entropy balance architecture is proposed to optimize the energy efficiency of communications systems. Compared with the energy consumption of conventional parity check circuits, simulation results indicate that the energy consumption of parity check circuits adopting the entropy generation minimization mechanism is reduced by up to 93.8 percent. To overcome the enormous energy consumption problem in the next generation wireless communications systems, it is the time to bridge the conversion gap between information and energy from the physical essence.

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http://hdl.handle.net/10453/178754