Wireless spectrum regulation is a complex and demanding process due to the rapid pace of technological progress, increasing demand for spectrum, and a multitude of stakeholders with potentially conflicting interests, alongside significant economic implications. To navigate this, regulators must engage effectively with all parties, keep pace with global technology trends, conduct technical evaluations, issue licenses in a timely manner, and comply with various legal and policy frameworks. In light of these challenges, this paper demonstrates example applications of Large Language Models (LLMs) to expedite spectrum regulatory processes. We explore various roles that LLMs can play in this context while identifying some of the challenges to address. The paper also offers practical case studies and insights, with appropriate experiments, highlighting the transformative potential of LLMs in spectrum management.

翻译：无线频谱监管是一项复杂且要求极高的工作，其根源在于技术进步日新月异、频谱需求持续增长、利益相关方众多且利益可能相互冲突，同时还涉及重大的经济影响。为应对这一局面，监管机构必须与各方有效互动，紧跟全球技术趋势，开展技术评估，及时发放许可证，并遵守各种法律和政策框架。鉴于这些挑战，本文展示了大型语言模型（LLMs）在加速频谱监管流程方面的应用实例。我们探讨了LLMs在此背景下可扮演的多种角色，同时指出了需要解决的一些挑战。本文还通过适当的实验，提供了实用的案例研究和见解，凸显了LLMs在频谱管理中的变革潜力。