Demonstration of Closed Loop AI-Driven RAN Controllers Using O-RAN SDR Testbed

被引：1
|
作者：
Stephenson, Nathan H. [1 ]
Chiejina, Azuka J. [1 ]
Kabigting, Nathaniel B. [1 ]
Shah, Vijay K. [1 ]
机构：
[1] George Mason Univ, NextG Wireless Lab GMU, Fairfax, VA 22030 USA
来源：
MILCOM 2023 - 2023 IEEE MILITARY COMMUNICATIONS CONFERENCE | 2023年
基金：
美国国家科学基金会;
关键词：
5G; O-RAN; xApp; intelligent RAN control;
D O I：
10.1109/MILCOM58377.2023.10356330
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Open Radio Access Network (O-RAN), a virtualized, modular, and disaggregated design paradigm for 5G/NextG cellular RANs, aims to integrate intelligence into cellular networks, enabling advanced deployment, operation and maintenance of the network. A key component of O-RAN is the RAN Intelligent Controller (RIC), which facilitates the controllability of RAN elements through data-driven, closed-loop, intelligent control using software microservices called extended Applications (xApps). In this demonstration, we showcase intelligent RAN control using a custom interference classification xApp hosted within the near-real-time RIC. This demonstration provides a tangible example for designing, testing, and experimenting with AI-driven RAN controllers and exploring various possibilities within the O-RAN system.
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页数：2
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