The open radio access network (O-RAN) describes an industry-driven open architecture and interfaces for building next generation RANs with artificial intelligence (AI) based control. This paper dissects the O-RAN framework and provides a unique assessment of what it enables and where its current shortcomings are. This was motivated by a user survey that we conducted with responses from representative wireless researchers and developers from industry, academia, and government. The survey shows that the physical and medium access control layers are of most relevance to researchers and that nearly 80% believe that the O-RAN architecture will drive future cellular network innovations and deployments. The major contributions of O-RAN are the open interfaces among RAN modules and the specifications of different control loops that facilitate data driven network configuration and operation using AI. These AI controllers are encapsulated as xApps that can be introduced to control communications, networking, or service functions. The important O-RAN limitations relate to security, scope of AI control, and latency. We conclude this paper by indicating how specific limitations can be overcome in future O-RAN architecture revisions.
翻译:开放无线电接入网络(O-RAN)描述了以人工智能(AI)控制来建设下一代RAN的产业驱动的开放式架构和界面。本文将O-RAN框架分割开来,并对O-RAN框架进行了独特的评估,对它能够起到的作用及其目前的缺点提供了独特的评估。这是由我们进行用户调查的动力,来自工业、学术界和政府的有代表性的无线研究人员和开发者对此作了答复。该调查表明,实际和中等访问控制层与研究人员最为相关,近80%的人相信O-RAN结构将推动未来的蜂窝网络创新和部署。O-RAN的主要贡献是RAN模块的开放界面,以及便利数据驱动网络配置和使用AI进行操作的不同控制循环的规格。这些AI控制器被概括为可引入控制通信、联网或服务功能的 xApps。重要的O-RAN限制与安全、AI控制范围以及耐用度有关。我们最后的论文通过说明在未来O-RAN结构修改中如何克服具体限制。