AI空口传输技术赋能边端协同的思考OA

With the continuous evolution of terminal intelligence,service requirements are upgrading from conventional communication services to integrated communication-computing services.Benefiting from proximity computing resource scheduling and low-latency data interaction,edge-end collaboration has become a pivotal enabling technology for guaranteeing efficient execution of terminal intelligent services and improving user experience.This paper first introduces key technologies of edge-end collaboration and artificial intelligence(AI)-enabled air-interface transmission.Then,to address the problem of inefficient collaboration incurred by data transmission susceptible to noise and interference in edge-device collaboration,this paper investigates the feasibility and effectiveness of empowering edge-end collaboration via AI-driven intelligent air interface transmission technologies.Simulation results verify that deploying an AI demodulation model at the edge node can substantially reduce the bit error rate of feature maps uploaded from terminals under low signal-to-noise ratio transmission environments.Accordingly,the inference performance at the edge is improved,satisfying the reliable transmission requirements in edge-end collaborative scenarios and offering instructive references for the future design of edge-end collaborative systems.