F-RAN is regarded as a promising paradigm for mobile networks to alleviate the unprecedented traffic pressures and meet quality of service requirements of various 5G services with great flexibility. To make F-RAN work in a reliable, efficient, and smart way, AI-enabled F-RAN could be innovative in a number of directions: computing task offloading, resource management, dynamic beam selection, cross-layer design, energy saving and harvesting, mobility enhancement, and so on. In this article, an AI-enabled F-RAN testbed has been designed and implemented in a portable way based on OpenAirInterface, where an AI module is integrated into the F-RAN architecture. The AI module encapsulates the underlying operators of various machine learning frameworks to help a network make policies for different applications. Based on the proposed testbed, the F-RAN research community can easily analyze and evaluate their novel methods and quickly develop intelligent algorithms in a lab environment.

中文翻译：

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启用人工智能的F-RAN测试平台

F-RAN被认为是移动网络缓解空前的流量压力并以极大的灵活性满足各种5G服务的服务质量要求的有希望的范例。为了使F-RAN以可靠，高效和智能的方式工作，支持AI的F-RAN可以在多个方向进行创新：计算任务分流，资源管理，动态波束选择，跨层设计，节能和收获，移动性增强等。在本文中，已基于OpenAirInterface以便携式方式设计和实现了具有AI功能的F-RAN测试平台，其中AI模块已集成到F-RAN体系结构中。AI模块封装了各种机器学习框架的基础运算符，以帮助网络制定针对不同应用程序的策略。根据建议的测试平台，