5 papers
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…
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…
End-to-End Edge AI Service Provisioning Framework in 6G ORAN
Yun Tang, Udhaya Chandhar Srinivasan, Benjamin James Scott +3
With the advent of 6G, Open Radio Access Network (O-RAN) architectures are evolving to support intelligent, adaptive, and automated network orchestration. This paper proposes a nov…
Automatic Retrieval-augmented Generation of 6G Network Specifications for Use Cases
Yun Tang, Weisi Guo
6G Open Radio Access Networks (O-RAN) promises to open data interfaces to enable plug-and-play service Apps, many of which are consumer and business-facing. Opening up 6G access lo…