DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things
This addresses energy consumption and longevity issues for IoT devices, representing a paradigm shift rather than an incremental improvement.
The paper tackles the problem of energy efficiency and device lifespan in IoT communications by introducing DEEP-IoT, a new communication paradigm that shifts focus from transmitters to receivers using deep learning-enhanced feedback channel coding, resulting in up to 52.71% longer operational lifespan compared to traditional systems.
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.