6G Open Radio Access Networks (ORAN) promises to open data interfaces to enable plug-and-play service Apps, many of which are consumer and business-facing. Opening up 6G access lowers the barrier to innovation but raises the challenge that the required communication specifications are not fully known to all service designers. As such, business innovators must either be familiar with 6G standards or consult with experts. Enabling consistent, unbiased, rapid, and low-cost requirement assessment and specification generation is crucial to the ORAN innovation ecosystem. Here, we discuss our initiative to bridge service specification generation gaps between network service providers and business innovators. We first review the state-of-the-art and motivation in 6G plug-and-play services and capabilities, potential use cases, and relevant advances in Large Language Models (LLMs). We identify an ample innovation space for hybrid use cases that may require diverse and variational wireless functionalities across its operating time. We show that the network specification can be automated and present the first automatic retrieval-augmented specification generation (RAG) framework for 6G use cases. To enable public acceptance and feedback, a website interface is also published for the research and industrial community to experiment with the RAG framework. We hope this review highlights the need and the emerging foundation models that advance this area and motivate researchers to engage with the framework.

翻译：6G开放无线接入网络（ORAN）承诺开放数据接口，以支持即插即用的服务应用，其中许多面向消费者和企业。开放6G接入降低了创新门槛，但也带来了挑战：并非所有服务设计者都完全掌握所需的通信规范。因此，业务创新者必须熟悉6G标准或咨询专家。实现一致、无偏、快速且低成本的需求评估与规范生成，对ORAN创新生态系统至关重要。本文探讨了我们旨在弥合网络服务提供商与业务创新者之间服务规范生成鸿沟的举措。首先，我们回顾了6G即插即用服务与能力、潜在用例以及大型语言模型（LLM）相关进展的现状与动机。我们识别出混合用例的广阔创新空间，这些用例可能在其运行周期内需要多样且动态变化的无线功能。研究表明网络规范可实现自动化，并提出了首个面向6G用例的自动检索增强规范生成（RAG）框架。为促进公众接受与反馈，我们同时发布了供研究界和工业界实验该RAG框架的网站界面。希望本综述能凸显该领域需求与新兴基础模型的发展，并激励研究者参与该框架的探索。