DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things
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, 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.
- Publication:
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arXiv e-prints
- Pub Date:
- March 2024
- DOI:
- arXiv:
- arXiv:2403.00321
- Bibcode:
- 2024arXiv240300321S
- Keywords:
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- Computer Science - Information Theory;
- Computer Science - Machine Learning;
- Electrical Engineering and Systems Science - Signal Processing;
- Electrical Engineering and Systems Science - Systems and Control