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Information-Theoretic Study of Time-Domain Energy-Saving Techniques in Radio Access

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Titel: Information-Theoretic Study of Time-Domain Energy-Saving Techniques in Radio Access
Autoren: Rottenberg, François
Quelle: IEEE Transactions on Green Communications and Networking. 9:605-620
Publication Status: Preprint
Verlagsinformationen: Institute of Electrical and Electronics Engineers (IEEE), 2025.
Publikationsjahr: 2025
Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Technology, EFFICIENCY, Computer Science - Information Theory, channel capacity, 4606 Distributed computing and systems software, 02 engineering and technology, 7. Clean energy, Symbols, 01 natural sciences, Time-domain analysis, Hardware, DESIGN, SYSTEMS, 0103 physical sciences, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, physical layer, radio access technologies, Load modeling, Science & Technology, Resource management, 4008 Electrical engineering, Information Theory (cs.IT), MASSIVE MIMO, Energy consumption, 4006 Communications engineering, Telecommunications, Power demand, 0210 nano-technology
Beschreibung: Reduction of wireless network energy consumption is becoming increasingly important to reduce environmental footprint and operational costs. A key concept to achieve it is the use of lean transmission techniques that dynamically (de)activate hardware resources as a function of the load. In this paper, we propose a pioneering information-theoretic study of time-domain energy-saving techniques, relying on a practical hardware power consumption model of sleep and active modes. By minimizing the power consumption under a quality of service constraint (rate, latency), we propose simple yet powerful techniques to allocate power and choose which resources to activate or to put in sleep mode. Power consumption scaling regimes are identified. We show that a ``rush-to-sleep" approach (maximal power in fewest symbols followed by sleep) is only optimal in a high noise regime. It is shown how consumption can be made linear with the load and achieve massive energy reduction (factor of 10) at low-to-medium load. The trade-off between energy efficiency (EE) and spectral efficiency (SE) is also characterized, followed by a multi-user study based on time division multiple access (TDMA).
Publikationsart: Article
ISSN: 2473-2400
DOI: 10.1109/tgcn.2024.3443649
DOI: 10.48550/arxiv.2303.17898
Zugangs-URL: http://arxiv.org/abs/2303.17898
https://lirias.kuleuven.be/handle/20.500.12942/748001
https://doi.org/10.1109/tgcn.2024.3443649
Rights: IEEE Copyright
CC BY
Dokumentencode: edsair.doi.dedup.....71d475b1acd43a33093a8abd5917d70c
Datenbank: OpenAIRE
Beschreibung
Abstract:Reduction of wireless network energy consumption is becoming increasingly important to reduce environmental footprint and operational costs. A key concept to achieve it is the use of lean transmission techniques that dynamically (de)activate hardware resources as a function of the load. In this paper, we propose a pioneering information-theoretic study of time-domain energy-saving techniques, relying on a practical hardware power consumption model of sleep and active modes. By minimizing the power consumption under a quality of service constraint (rate, latency), we propose simple yet powerful techniques to allocate power and choose which resources to activate or to put in sleep mode. Power consumption scaling regimes are identified. We show that a ``rush-to-sleep" approach (maximal power in fewest symbols followed by sleep) is only optimal in a high noise regime. It is shown how consumption can be made linear with the load and achieve massive energy reduction (factor of 10) at low-to-medium load. The trade-off between energy efficiency (EE) and spectral efficiency (SE) is also characterized, followed by a multi-user study based on time division multiple access (TDMA).
ISSN:24732400
DOI:10.1109/tgcn.2024.3443649