This research introduces a novel multi-task physical layer network powered by Large Language Models (LLMs) to efficiently handle multiple wireless communication tasks simultaneously.

• Eliminates the need for separate LLM networks for different tasks, reducing computational resources
• Supports critical wireless functions including channel prediction, signal detection, and multi-user precoding
• Demonstrates superior performance and generalization across diverse communication scenarios
• Presents a unified framework that adapts efficiently to varying wireless environments

This advancement is particularly significant for 6G engineering as it addresses the resource-intensive nature of current AI approaches while maintaining high performance across multiple physical layer tasks.

Large Language Model Enabled Multi-Task Physical Layer Network