6G Open Radio Access Networks (O-RAN) 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 O-RAN innovation ecosystem. Here, we discuss our initiative to bridge service specification gaps between network service providers and business innovators leveraging Large Language Models (LLMs). We first review the state-of-the-art and motivation in 6G plug-and-play services, capabilities, potential use cases and 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 network service specification framework for 6G use cases. To enable public acceptance and feedback, a website interface is published for the research and industrial community to experiment with the framework. We hope this review highlights the need for emerging foundation models for this area and motivates researcher engagement and contribution to the community through our framework.

翻译：6G开放无线接入网络（O-RAN）承诺开放数据接口，以实现即插即用的服务应用，其中许多应用面向消费者和企业。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了解所需的通信规范。因此，商业创新者必须熟悉6G标准或咨询专家。实现一致、无偏见、快速且低成本的需​​求评估与规范生成，对O-RAN创新生态系统至关重要。本文探讨了我们利用大语言模型（LLMs）弥合网络服务提供商与商业创新者之间服务规范差距的倡议。我们首先综述了6G即插即用服务、能力、潜在用例以及LLMs的最新进展与动机。我们识别出一个广阔的创新空间，涵盖混合用例，这些用例在其运行期间可能需要多样化且可变的无线功能。我们证明了网络规范可以自动化，并提出了首个面向6G用例的自动检索增强网络服务规范框架。为促进公众接受与反馈，我们发布了一个网站界面，供研究和工业界试验该框架。我们希望本综述能强调该领域对新兴基础模型的需求，并通过我们的框架激励研究人员参与社区并作出贡献。