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市场调查报告书
商品编码
1906291
无线接取网管理阶层四级自治网路营运商策略Operator Strategies for Level 4 Autonomous Networking at the RAN Management Layer |
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电信业者必须确定部署新一代解决方案的最佳方式，同时最大限度地利用其现有的无线存取网路 (RAN) 自动化投资。
电信业者在 RAN 自动化应用方面处于不同的阶段，在探索实现四级自治网路 (L4 AN) 的产业框架和解决方案时面临诸多挑战。营运商必须评估自动化带来的效益与其业务目标之间的关係，确定最佳解决方案并推动实施。
本报告探讨了营运商可以采取的各种推进 RAN 自动化的方法，包括利用人工智慧和高级自动化功能来增强现有系统，或采用支援更模组化和开放架构的开放式 RAN (O-RAN) 服务管理和编排 (SMO) 框架。报告还评估了营运商面临的挑战，以及采用下一代自动化解决方案和架构将对未来智慧 RAN 营运产生的影响。
本报告解答的问题
- 营运商在尝试向更高自动化等级过渡以支援无线接取网路 (RAN) 中的四层自动化网路 (AN) 时，面临哪些挑战？
- 如何在不彻底改造架构的情况下，使现有的网路管理和自组织网路系统朝向更高自动化和智慧化的方向发展？
- O-RAN SMO 框架在实现更灵活、更开放的 RAN 自动化架构方面发挥着怎样的作用？
- 传统网路管理系统与新一代原生 AI 自动化解决方案之间有哪些迁移路径？
"Operators must determine how best to build on their existing RAN automation investments while adopting next-generation solutions."
Operators are at different stages of their RAN automation journeys and face challenges in navigating industry frameworks and solutions to achieve Level 4 autonomous networking (L4 AN). Operators must evaluate the benefits of automation against their business goals to find the most suitable solution and move forward.
This report examines the different approaches operators can take to advance RAN automation - whether by enhancing existing systems with AI and advanced automation features or adopting Open RAN (O-RAN) service management and orchestration (SMO) frameworks to support more modular and open architectures. The report also assesses the challenges operators face and the implications of adopting next-generation automation solutions and architectures for the future of intelligent RAN operations.
Questions answered in this report
- What challenges are operators facing as they attempt to advance to higher levels of automation to support L4 AN in the RAN?
- How can operators evolve their existing network management and self-organising network systems to deliver greater automation and intelligence without full architectural replacement?
- What role does the O-RAN SMO framework play in enabling more flexible and open RAN-automation architectures?
- What migration pathways exist between traditional network management systems and next-generation AI-native automation solutions?
