This research examines the mutually beneficial relationship between reinforcement learning-based large language models (RL-LLMs) and modern wireless networks.

• RL-based LLMs can enhance wireless networks through intelligent optimization and adaptation
• Wireless networks provide critical infrastructure to deploy and scale advanced LLMs like DeepSeek and Grok-3
• The integration creates opportunities for more efficient network management and novel applications
• This convergence represents a key frontier in both AI and telecommunications engineering

For engineering professionals, this research highlights emerging opportunities to leverage AI capabilities in network design while addressing the infrastructure challenges of deploying sophisticated language models at scale.

DeepSeek-Inspired Exploration of RL-based LLMs and Synergy with Wireless Networks: A Survey