SOURCE-LINKED INTELLIGENCE

Multi-Dimensional Resource Management for 6G IoT Networks with Generative Artificial Intelligence

CORDIS · observation · Publication date unknown

Multi-Dimensional Resource Management for 6G IoT Networks with Generative Artificial Intelligence The Internet of Things (IoT) has fundamentally changed our interaction with the physical world, bringing a paradigm shift that has transitioned physical objects into digital and interconnected devices. This digitalization revolution largely hinges on to take a significant leap forward with the deployment of emerging 6G networks. While 6G holds great promise, it also poses severe challenges, especially in dynamically managing its vast multi-dimension resources amid heightened demands for latency, rates, reliability etc. Traditional approaches, particularly those relying on Deep Reinforcement Learning (DRL), have obvious limitations in various and complex 6G IoT networks. In this context, we will explore Generative Artificial Intelligence (GAI) to solve these challenges. First, we will establish a hypergraph-based framework for multi-dimensional resource representat

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recordType

award

status

SIGNED

region

EU

value

236340

unit

EUR