  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.
