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- Publisher Website: 10.1109/GLOBECOM52923.2024.10901227
- Scopus: eid_2-s2.0-105000830272
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Conference Paper: DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things
| Title | DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things |
|---|---|
| Authors | |
| Keywords | energy efficiency feedback codes IoT |
| Issue Date | 2024 |
| Citation | Proceedings IEEE Global Communications Conference Globecom, 2024, p. 1973-1978 How to Cite? |
| Abstract | At 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, a novel communication paradigm poised to redefine how IoT devices communicate. Through a pioneering "listen more, transmit less"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 Identifier | http://hdl.handle.net/10722/363004 |
| ISSN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Shao, Yulin | - |
| dc.date.accessioned | 2025-10-10T07:44:00Z | - |
| dc.date.available | 2025-10-10T07:44:00Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.citation | Proceedings IEEE Global Communications Conference Globecom, 2024, p. 1973-1978 | - |
| dc.identifier.issn | 2334-0983 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/363004 | - |
| dc.description.abstract | At 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, a novel communication paradigm poised to redefine how IoT devices communicate. Through a pioneering "listen more, transmit less"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.language | eng | - |
| dc.relation.ispartof | Proceedings IEEE Global Communications Conference Globecom | - |
| dc.subject | energy efficiency | - |
| dc.subject | feedback codes | - |
| dc.subject | IoT | - |
| dc.title | DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1109/GLOBECOM52923.2024.10901227 | - |
| dc.identifier.scopus | eid_2-s2.0-105000830272 | - |
| dc.identifier.spage | 1973 | - |
| dc.identifier.epage | 1978 | - |
| dc.identifier.eissn | 2576-6813 | - |
