🗞️ Paper “DeepSeek-Inspired Exploration of RL-Based LLMs and Synergy with Wireless Networks A Survey” was published by the ACM Computing Surveys.
Published:
- Yu Qiao, Phuong-Nam Tran, Ji Su Yoon, Loc X. Nguyen, Eui-Nam Huh, Dusit Niyato, Choong Seon Hong, “DeepSeek-Inspired Exploration of RL-Based LLMs and Synergy with Wireless Networks: A Survey”, ACM Computing Surveys, 2025
This survey looks at how reinforcement learning-based large language models (LLMs), such as the open-source DeepSeek models, and wireless networks can benefit each other. LLMs bring reasoning and decision-making to network optimization, while wireless infrastructure makes it possible to deploy these models widely. The survey reviews key technologies on both sides and discusses open challenges, future directions, and societal impacts.