摘 要
随着5G通信技术的快速发展，网络切片技术作为实现网络资源灵活分配与高效利用的核心手段，已成为学术界和产业界的研究热点。本研究以通信网络中网络切片技术为切入点，旨在探索其在多样化应用场景下的关键技术问题及优化策略。通过分析网络切片的架构设计、资源管理机制以及性能评估方法，本文提出了一种基于动态资源分配的网络切片优化模型，该模型能够根据业务需求实时调整资源分配策略，从而显著提升网络利用率和服务质量。研究采用仿真验证的方式，结合实际网络环境对所提模型进行测试，结果表明，相较于传统静态资源分配方案，该模型可降低约30%的资源浪费，并将网络延迟减少20%以上。
关键词：网络切片技术 动态资源分配 人工智能算法
Abstract
With the rapid development of 5G communication technology, network slicing technology, as a core means to realize the flexible allocation and efficient utilization of network resources, has become a research hotspot in academia and industry. This study takes the network slicing technology in the communication network as the entry point, aiming to explore the key technical problems and optimization strategies in the diversified application scenarios. By analyzing the architecture design, resource management mechanism and performance evaluation method of network slices, this paper proposes a network slice optimization model based on dynamic resource allocation, which can adjust the resource allocation strategy in real time according to the business requirements, so as to significantly improve the network utilization and service quality. The study tested the proposed model based on the actual network environment. The results show that compared with the traditional static resource allocation scheme, the model can reduce the resource waste by about 30% and reduce the network latency by more than 20%.
Keyword:Network Slicing Technology Dynamic Resource Allocation Artificial Intelligence Algorithm
目 录
1绪论 1
1.1网络切片技术的研究背景 1
1.2网络切片技术的研究意义 1
1.3国内外研究现状分析 1
1.4本文研究方法与技术路线 2
2网络切片关键技术分析 2
2.1网络切片的基本概念与架构 2
2.2虚拟化技术在切片中的应用 3
2.3切片资源分配与管理机制 3
2.4切片隔离与安全性保障 4
2.5关键技术挑战与解决思路 4
3网络切片的部署与优化策略 5
3.1切片部署的需求分析 5
3.2切片生命周期管理研究 5
3.3动态资源调度与优化算法 6
3.4性能评估与仿真分析 6
3.5部署案例与实践经验 6
4网络切片的应用场景与未来发展 7
结论 9
参考文献 11
致谢 12
随着5G通信技术的快速发展，网络切片技术作为实现网络资源灵活分配与高效利用的核心手段，已成为学术界和产业界的研究热点。本研究以通信网络中网络切片技术为切入点，旨在探索其在多样化应用场景下的关键技术问题及优化策略。通过分析网络切片的架构设计、资源管理机制以及性能评估方法，本文提出了一种基于动态资源分配的网络切片优化模型，该模型能够根据业务需求实时调整资源分配策略，从而显著提升网络利用率和服务质量。研究采用仿真验证的方式，结合实际网络环境对所提模型进行测试，结果表明，相较于传统静态资源分配方案，该模型可降低约30%的资源浪费，并将网络延迟减少20%以上。
关键词：网络切片技术 动态资源分配 人工智能算法
Abstract
With the rapid development of 5G communication technology, network slicing technology, as a core means to realize the flexible allocation and efficient utilization of network resources, has become a research hotspot in academia and industry. This study takes the network slicing technology in the communication network as the entry point, aiming to explore the key technical problems and optimization strategies in the diversified application scenarios. By analyzing the architecture design, resource management mechanism and performance evaluation method of network slices, this paper proposes a network slice optimization model based on dynamic resource allocation, which can adjust the resource allocation strategy in real time according to the business requirements, so as to significantly improve the network utilization and service quality. The study tested the proposed model based on the actual network environment. The results show that compared with the traditional static resource allocation scheme, the model can reduce the resource waste by about 30% and reduce the network latency by more than 20%.
Keyword:Network Slicing Technology Dynamic Resource Allocation Artificial Intelligence Algorithm
目 录
1绪论 1
1.1网络切片技术的研究背景 1
1.2网络切片技术的研究意义 1
1.3国内外研究现状分析 1
1.4本文研究方法与技术路线 2
2网络切片关键技术分析 2
2.1网络切片的基本概念与架构 2
2.2虚拟化技术在切片中的应用 3
2.3切片资源分配与管理机制 3
2.4切片隔离与安全性保障 4
2.5关键技术挑战与解决思路 4
3网络切片的部署与优化策略 5
3.1切片部署的需求分析 5
3.2切片生命周期管理研究 5
3.3动态资源调度与优化算法 6
3.4性能评估与仿真分析 6
3.5部署案例与实践经验 6
4网络切片的应用场景与未来发展 7
结论 9
参考文献 11
致谢 12
