7 citations · 10 across the 4 of their papers we have counts for
9 papers
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences
Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132
This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…
TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models
Hang Zou, Qiyang Zhao, Yu Tian +4
Large Language Models (LLMs) have the potential to revolutionize the Sixth Generation (6G) communication networks. However, current mainstream LLMs generally lack the specialized k…
Generative AI for RF Sensing in IoT systems
Li Wang, Chao Zhang, Qiyang Zhao +5
The development of wireless sensing technologies, using signals such as Wi-Fi, infrared, and RF to gather environmental data, has significantly advanced within Internet of Things (…
Large Language Models for Power Scheduling: A User-Centric Approach
Thomas Mongaillard, Samson Lasaulce, Othman Hicheur +6
While traditional optimization and scheduling schemes are designed to meet fixed, predefined system requirements, future systems are moving toward user-driven approaches and person…
GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and Reasoning
Hang Zou, Qiyang Zhao, Samson Lasaulce +3
Generative Artificial Intelligence (GenAI) and communication networks are expected to have groundbreaking synergies for 6G. Connecting GenAI agents via a wireless network can poten…
Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction
Yu Tian, Qiyang Zhao, Zine el abidine Kherroubi +3
Wireless communications at high-frequency bands with large antenna arrays face challenges in beam management, which can potentially be improved by multimodality sensing information…