Joint Communication and Computing Resource Optimization for Collaborative AI Inference in Mobile Networks

Integrated AI and Communication have been identified as crucial elements for IMT2030 by ITU-R. The integration of communication and computing in the RAN will facilitate deploying AI technology closer to mobile devices and enable AI computing collaboration with reduced latency. This paper primarily investigates the collaboration of AI inference computation between mobile devices and base stations, with a specific focus on the joint optimization of communication and computing resources in a multi-user environment. A communication and computing integrated scheduling algorithm is proposed to ensure optimal system performance in terms of inference accuracy and computation latency. Simulation results validate the effectiveness of the algorithm, demonstrating superior performance compared to the baseline algorithm.