"LLM-RIMSA: Large Language Models driven Reconfgurable Intelligent Metasurface Antenna Systems"

"The LLM-RIMSA dataset, designed to advance 6G networks through ultra-massive connectivity and intelligent radio environments. The dataset is built around a novel framework that integrates large language models (LLMs) with a reconfigurable intelligent metasurface antenna (RIMSA) architecture. This integration addresses limitations in hardware efficiency, dynamic control, and scalability seen in existing RIS technologies.  "

LLM-RIMSA数据集旨在通过超大规模连接与智能无线电环境技术推进6G网络研发。该数据集基于全新框架构建，该框架将大语言模型（Large Language Models, LLMs）与可重构智能超表面天线（Reconfigurable Intelligent Metasurface Antenna, RIMSA）架构相融合。这一集成方案解决了现有可重构智能表面（Reconfigurable Intelligent Surface, RIS）技术在硬件效率、动态控制及可扩展性方面存在的局限。

搜集汇总

背景与挑战

背景概述

LLM-RIMSA数据集旨在推进6G网络，专注于超大规模连接和智能无线电环境。它集成了大型语言模型（LLMs）与可重构智能超表面天线（RIMSA）架构，以解决现有可重构智能表面（RIS）技术在硬件效率、动态控制和可扩展性方面的局限性，提供了一个创新框架。