mlsanityData to 7 Oct 2026

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

arXiv 2403.00321 ↗First posted 1 Mar 2024cs.IT cs.LG cs.SYcited by 2

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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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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.