The recent success of large language models (LLMs) has spurred their application in various fields. In particular, there have been efforts to integrate LLMs into various aspects of wireless communication systems. The use of LLMs in wireless communication systems has the potential to realize artificial general intelligence (AGI)-enabled wireless networks. In this paper, we investigate an LLM-based resource allocation scheme for wireless communication systems. Specifically, we formulate a simple resource allocation problem involving two transmit pairs and develop an LLM-based resource allocation approach that aims to maximize either energy efficiency or spectral efficiency. Additionally, we consider the joint use of low-complexity resource allocation techniques to compensate for the reliability shortcomings of the LLM-based scheme. After confirming the applicability and feasibility of LLM-based resource allocation, we address several key technical challenges that remain in applying LLMs in practice.

翻译：近年来，大型语言模型（LLMs）的成功推动了其在各领域的应用。特别是，已有研究致力于将LLMs集成到无线通信系统的各个方面。在无线通信系统中使用LLMs有望实现人工通用智能（AGI）赋能的无线网络。本文研究了一种基于LLM的无线通信系统资源分配方案。具体而言，我们构建了一个涉及两个发射对的简单资源分配问题，并开发了一种基于LLM的资源分配方法，旨在最大化能量效率或频谱效率。此外，我们考虑了联合使用低复杂度资源分配技术，以弥补基于LLM方案在可靠性方面的不足。在确认基于LLM的资源分配的适用性与可行性之后，我们探讨了在实际应用中部署LLMs仍需解决的若干关键技术挑战。