This research proposes a novel user-centric wireless communication paradigm powered by large language models to better align network capabilities with human needs.

• Introduces a framework that translates human language requests into optimized network configurations
• Leverages LLMs to interpret user intentions and map them to precise communication system parameters
• Demonstrates the potential for AI-native networks that can dynamically adjust to user requirements
• Addresses the gap between natural language expressions and technical communication metrics

This paradigm shift offers significant engineering advantages by enabling more intuitive human-machine interfaces for wireless networks, potentially transforming how future communication systems are designed and optimized.

A New Paradigm of User-Centric Wireless Communication Driven by Large Language Models