8 papers
Guaranteeing and Explaining Stability across Heterogeneous Load Balancing using Calculus Network Dynamics
Mengbang Zou, Yun Tang, Adolfo PerrusquÃa +1
Load balancing between base stations (BSs) allows BS capacity to be efficiently utilised and avoid outages. Currently, data-driven mechanisms strive to balance inter-BS load and re…
KP-A: A Unified Network Knowledge Plane for Catalyzing Agentic Network Intelligence
Yun Tang, Mengbang Zou, Zeinab Nezami +2
The emergence of large language models (LLMs) and agentic systems is enabling autonomous 6G networks with advanced intelligence, including self-configuration, self-optimization, an…
Building AI Service Repositories for On-Demand Service Orchestration in 6G AI-RAN
Yun Tang, Mengbang Zou, Udhaya Chandhar Srinivasan +4
Efficient orchestration of AI services in 6G AI-RAN requires well-structured, ready-to-deploy AI service repositories combined with orchestration methods adaptive to diverse runtim…
Data-driven Method to Ensure Cascade Stability of Traffic Load Balancing in O-RAN Based Networks
Mengbang Zou, Yun Tang, Weisi Guo
Load balancing in open radio access networks (O-RAN) is critical for ensuring efficient resource utilization, and the user's experience by evenly distributing network traffic load.…
Contextualized Autonomous Drone Navigation using LLMs Deployed in Edge-Cloud Computing
Hongqian Chen, Yun Tang, Antonios Tsourdos +1
Autonomous navigation is usually trained offline in diverse scenarios and fine-tuned online subject to real-world experiences. However, the real world is dynamic and changeable, an…
RAG-based User Profiling for Precision Planning in Mixed-precision Over-the-Air Federated Learning
Jinsheng Yuan, Yun Tang, Weisi Guo
Mixed-precision computing, a widely applied technique in AI, offers a larger trade-off space between accuracy and efficiency. The recent purposed Mixed-Precision Over-the-Air Feder…