论文标题
关于在O-RAN中实施基于增强学习的能力共享算法
On the Implementation of a Reinforcement Learning-based Capacity Sharing Algorithm in O-RAN
论文作者
论文摘要
无线电访问网络（RAN）切片中的容量共享问题与各种跑步切片中可用的容量的分布分配，以满足其交通需求并有效地使用无线电资源。尽管文献中已经提出了几种能力共享算法解决方案，但它们的实际实施仍然是差距。在本文中，讨论了基于增强学习的能力共享算法对O-RAN体系结构的实施，从而提供了有关涉及接口的操作和解决方案容器化的见解。此外，还包括对解决方案进行验证的测试床的描述，并提供了一些性能和验证结果。
The capacity sharing problem in Radio Access Network (RAN) slicing deals with the distribution of the capacity available in each RAN node among various RAN slices to satisfy their traffic demands and efficiently use the radio resources. While several capacity sharing algorithmic solutions have been proposed in the literature, their practical implementation still remains as a gap. In this paper, the implementation of a Reinforcement Learning-based capacity sharing algorithm over the O-RAN architecture is discussed, providing insights into the operation of the involved interfaces and the containerization of the solution. Moreover, the description of the testbed implemented to validate the solution is included and some performance and validation results are presented.
