Revolutionizing QoE-Driven Network Management with Digital Agents in 6G

TL;DR

This paper introduces a digital agent-based framework for 6G network management that optimizes user QoE by considering behavioral and environmental factors, enhancing network slicing and orchestration.

Contribution

It proposes a novel QoE metric and a two-level digital agent architecture for improved network management in 6G, with solutions for data collection, resource scheduling, and deployment.

Findings

Effective improvement in user QoE demonstrated in case study

Proposed framework outperforms benchmark schemes

New QoE metric incorporating behavioral and environmental factors

Abstract

In this article, we present a digital agent (DA)-assisted network management framework for future sixth generation (6G) networks considering user quality of experience (QoE). A novel QoE metric is defined by incorporating the impact of user behavioral dynamics and environmental complexity on quality of service (QoS). A two-level DA architecture is proposed to assist the QoE-driven network slicing and orchestration. Three potential solutions are presented from the perspectives of DA data collection, resource scheduling, and DA deployment. A case study demonstrates that the proposed framework can effectively improve user QoE compared with benchmark schemes.