DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things
- URL: http://arxiv.org/abs/2403.00321v1
- Date: Fri, 1 Mar 2024 06:48:58 GMT
- Title: DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things
- Authors: Yulin Shao
- Abstract summary: This paper presents DEEP-IoT, a revolutionary 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.
We conceptualize DEEP-IoT but also actualize it by integrating deep learning-enhanced feedback channel codes within a narrow-band system.
- Score: 10.696740170777366
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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
revolutionary 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.
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