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Article: DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things

TitleDEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things
Authors
Keywordsenergy efficiency
feedback channel codes
IoT
SC-FDMA
subcarrier allocation
Issue Date2024
Citation
IEEE Transactions on Wireless Communications, 2024 How to Cite?
AbstractAt the heart of the Internet of Things (IoT) - a domain witnessing explosive growth - the imperative for energy efficiency and the extension of device lifespans has never been more pressing. This paper presents DEEP-IoT, an innovative communication paradigm poised to redefine how IoT devices communicate. Through a pioneering feedback channel coding strategy, DEEP-IoT challenges and transforms the traditional transmitter (IoT devices)-centric communication model to one where the receiver (the access point) play a pivotal role, thereby cutting down energy use and boosting device longevity. We not only conceptualize DEEP-IoT but also actualize it by integrating deep learning-enhanced feedback channel codes within a narrow-band system. Simulation results show a significant enhancement in the operational lifespan of IoT cells - surpassing traditional systems using Turbo and Polar codes by up to 52.71%. This leap signifies a paradigm shift in IoT communications, setting the stage for a future where IoT devices boast unprecedented efficiency and durability.
Persistent Identifierhttp://hdl.handle.net/10722/363672
ISSN
2023 Impact Factor: 8.9
2023 SCImago Journal Rankings: 5.371

 

DC FieldValueLanguage
dc.contributor.authorShao, Yulin-
dc.date.accessioned2025-10-10T07:48:30Z-
dc.date.available2025-10-10T07:48:30Z-
dc.date.issued2024-
dc.identifier.citationIEEE Transactions on Wireless Communications, 2024-
dc.identifier.issn1536-1276-
dc.identifier.urihttp://hdl.handle.net/10722/363672-
dc.description.abstractAt the heart of the Internet of Things (IoT) - a domain witnessing explosive growth - the imperative for energy efficiency and the extension of device lifespans has never been more pressing. This paper presents DEEP-IoT, an innovative communication paradigm poised to redefine how IoT devices communicate. Through a pioneering feedback channel coding strategy, DEEP-IoT challenges and transforms the traditional transmitter (IoT devices)-centric communication model to one where the receiver (the access point) play a pivotal role, thereby cutting down energy use and boosting device longevity. We not only conceptualize DEEP-IoT but also actualize it by integrating deep learning-enhanced feedback channel codes within a narrow-band system. Simulation results show a significant enhancement in the operational lifespan of IoT cells - surpassing traditional systems using Turbo and Polar codes by up to 52.71%. This leap signifies a paradigm shift in IoT communications, setting the stage for a future where IoT devices boast unprecedented efficiency and durability.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Wireless Communications-
dc.subjectenergy efficiency-
dc.subjectfeedback channel codes-
dc.subjectIoT-
dc.subjectSC-FDMA-
dc.subjectsubcarrier allocation-
dc.titleDEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TWC.2024.3512589-
dc.identifier.scopuseid_2-s2.0-85207034762-
dc.identifier.eissn1558-2248-

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