DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things
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.
Authors
- Yulin Shao (ORCID: https://orcid.org/0000-0002-6300-3175)
Institutions
- University of Macau (MO)
- City University of Macau (MO)
Publication Details
- Journal
- IEEE Transactions on Wireless Communications
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/twc.2024.3512589
- Citations
- 8
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 2.79