面向6G的基于意图的网络策略验证趋势与挑战

Dong Wang, Ruiran Su, Shenhu Zhang, Yanxia Xing
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引用次数: 3

摘要

IBN (intention -based Networking)是面向未来智能网络全业务场景的随需应变业务需求,为用户提供个性化的网络服务和差异化的SLA (service level agreement)。它基于自治网络实现,需要使用人工智能(AI)模型将适当的服务和资源与用户提出的网络需求相匹配。为了提高闭环自治网络中人工智能模型匹配策略的可靠性,提出了一种利用数字孪生进行人工智能策略验证的开放方案。该方案在一个开源项目平台上进行了测试和分析。最后,讨论了基于数字孪生的IBN AI策略验证的技术演进路线和面临的挑战。
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Trends and Challenges of Policy Verification for Intent-based Networking towards 6G
Intent-based Networking (IBN) is geared towards the on -demand service requirements of future intelligent network full-service scenarios, providing personalized network services and differentiated service level agreement (SLA) for users. It is implemented based on autonomous networks, which requires to use Artificial Intelligent (AI) models to match appropriate services and resources to the network requirements proposed by users. To improve the reliability of matching policies by AI models in closed -loop autonomous networks, an open scheme is proposed for AI policy verification using digital twins. The scheme is tested and analyzed based on an open-source project platform. Finally, the technical evolution route and challenges of IBN AI policy verification based on digital twins is also discussed in this paper.
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