DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things
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Abstract (arXiv)
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, 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.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 10 of its 29 references that are in the map. First posted on arXiv 1 Mar 2024.
Builds on
10 of 29 references.
References · 10
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Built on by
Citing papers per year: 2026: 2.
2 papers.
- 2026Deep Variable-Length Feedback Codescited by 0
- 2026Rich-ARQ: From 1-bit Acknowledgment to Rich Neural Coded Feedbackcited by 0
- 2026Rich-ARQ: From 1-bit Acknowledgment to Rich Neural Coded Feedback8 Feb 2026
- 2026Deep Variable-Length Feedback Codes8 Feb 2026