MOORE: Multi-Dimension Resources Optimization for 6G IoT Net with Generative Artificial Intelligence

Purpose and goal:

6G IoT will fundamentally change our interaction with physical world. However, it also poses severe challenges, especially in managing resources and meet demands for latency, reliability etc. We will explore Generative AI to solve the problems.

First, we will establish a framework for resource modeling, targeting optimizating service. Then, we will use Generative Decision Model (GDM) to streamline intent extraction, facilitating swift decision-making and improving the adaptability. Finally, we will leverage GDM to craft incentive structures, to enhance user experience.

Expected results and effects:

The expected effects include a trained researcher and also technical improvements. One Postdoc fellow will be trained. Multiple technical reports will be delivered, including 2 reports (and 2 journal articles) and also 1 set of open software in simulations. Approach and implementation:

The project is planned to be 2-years, and has three work packages (WPs): WP1 aims at designing measurements for multi-dimensional resources, WP2 investigate the utilization of GDM for adaptive resource management, and in WP3, we seek to use GDM to ensure fairness in resource sharing. By integrating GAI as a solution to the multifaceted challenges of 6G IoT, we seek to expand and redefine the capabilities and applications of 6G IoT in real-world contexts.