论文标题
用于蜂窝物联网的无线电资源控制层的智能切片：设计和实现
Intelligent Slicing of Radio Resource Control Layer for Cellular IoT: Design and Implementation
论文作者
论文摘要
蜂窝互联网（CIOT）已成为迎合物联网设备各种应用的重要分支。在CIOT中，无线电资源控制（RRC）层负责基本功能，例如连接控制和无线电访问网络（RAN）中的载体建立。各种物联网方案和多元化的服务要求的出现使RRC层中的切片和智能控制要求。本文通过设计和实施可容纳RRC切片和智能控制器的新体系结构来增强CIOT RRC层的标准化功能。该体系结构旨在实现在RRC层中创建，修改和删除切片的功能，而添加智能控制器以满足不同物联网设备的各种动态服务要求。所提出的体系结构进一步在露天软件平台OpenAirInterface（OAI）上实现，最重要的是，RRC切片的有效性得到了验证，并在其中提出了一个采用强化学习的概念验证案例，以动态调整不连续的接收参数。仿真结果证明了所提出的智能RRC切片体系结构的有效性。
The cellular internet of things (CIoT) has become an important branch to cater various applications of IoT devices. Within CIoT, the radio resource control (RRC) layer is responsible for fundamental functionalities such as connection control and bearer establishment in radio access network (RAN). The emergence of various IoT scenarios and diversified service requirements have made both RAN slicing and intelligent control imperative requirement in RRC layer. This paper focuses on enhancing standardized capabilities of CIoT RRC layer, by designing and implementing a new architecture which accommodate RRC slicing and intelligent controller. The architecture aims to realize functionalities of creating, modifying, and deleting slices in RRC layer, while the intelligent controller is added to satisfy various and dynamic service requirements of different IoT devices smartly. The proposed architecture is further implemented on an open-source software platform OpenAirInterface (OAI), on top of which the effectiveness of RRC slicing is validated and one proof-of-concept case to adopt reinforcement learning to dynamically tune discontinuous reception parameters therein is presented. Simulation results have demonstrated the effectiveness of the proposed intelligent RRC slicing architecture.
