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市場調查報告書
商品編碼
1906291
無線接取網管理階層四級自治網路營運商策略Operator Strategies for Level 4 Autonomous Networking at the RAN Management Layer |
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電信業者必須確定部署新一代解決方案的最佳方式，同時最大限度地利用其現有的無線存取網路 (RAN) 自動化投資。
電信業者在 RAN 自動化應用方面處於不同的階段，在探索實現四級自治網路 (L4 AN) 的產業框架和解決方案時面臨諸多挑戰。營運商必須評估自動化帶來的效益與其業務目標之間的關係，確定最佳解決方案並推動實施。
本報告探討了營運商可以採取的各種推進 RAN 自動化的方法，包括利用人工智慧和高級自動化功能來增強現有系統，或採用支援更模組化和開放架構的開放式 RAN (O-RAN) 服務管理和編排 (SMO) 框架。報告還評估了營運商面臨的挑戰，以及採用下一代自動化解決方案和架構將對未來智慧 RAN 營運產生的影響。
本報告解答的問題
- 營運商在嘗試向更高自動化等級過渡以支援無線接取網路 (RAN) 中的四層自動化網路 (AN) 時，面臨哪些挑戰？
- 如何在不徹底改造架構的情況下，使現有的網路管理和自組織網路系統朝向更高自動化和智慧化的方向發展？
- O-RAN SMO 框架在實現更靈活、更開放的 RAN 自動化架構方面發揮著怎樣的作用？
- 傳統網路管理系統與新一代原生 AI 自動化解決方案之間有哪些遷移路徑？
"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?
