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电信管理论坛:2026通信服务提供商四级自治网络演进进展评估:基准报告(英文版)(43页).pdf

上传人: 1****1 编号:1186532 2026-04-13 43页 3.40MB

1、Authors:Richard Webb,Senior AnalystDawn Bushaus,Contributing AnalystIan Kemp,Managing EditorEditor:Ian Kemp,Managing EditorMarch 2026inform.tmforum.orgSponsored byAssessing CSPs progress towards Level 4 autonomous networksBenchmark Report3 The big picture7 Section 1:Where are CSPs on the road to Lev

2、el 4 network autonomy?13 Section 2:How to improve AN level evaluation and certifjcation17 Section 3:CSPs perspectives on AN survey results27 Section 4:AN case studies and best practices31 Section 5:Key fjndings and recommendations33 Further reading 34 Additional features and resourcesContents2inform

3、.tmforum.orgAmdocsPegasystemsWatch our sponsors give their views on the path towards autonomous networksAbout our sponsors3inform.tmforum.orgThe big pictureLast November TM Forum presented 37 certifjcations for progress towards Level 4 autonomous networks(AN)the point at which networks represent a m

4、ajor shift from traditional human-defjned automation processes to true autonomous decision-making at the companys Innovate Asia event in Bangkok.Those awards served to underline the strides telcos and particularly those in Asia are taking to move from theoretical implementations towards networks wit

5、h true autonomous decision-making.The catalyst for this acceleration is,in large part,the meteoric rise in the use of AI.Fast-growing workloads are fundamentally changing network requirements:uplink-intensive data fmows are increasingly distributed and driving demand for enhanced latency,throughput,

6、resilience,security and energy effjciency.AN capabilities particularly at Level 4 which more directly harnesses AI make it signifjcantly easier for operators to deliver AI-ready infrastructure and services.Underpinning this acceleration is the promise of signifjcant business benefjts in transitionin

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1. **行业进展**:通信服务提供商(CSPs)正稳步迈向Level 4自治网络(AN),21%的运营商已达到Level 3或以上(2025年数据),较2024年提升2%。 2. **核心驱动**:主要动机包括降低运维成本(87%认为非常重要)、自动化故障检测与修复(84%)及提升资源效率(79%)。 3. **评估工具**:TM Forum的ANLET(自评估工具)和ANLAV(认证服务)被广泛采用,已覆盖15+高价值场景,如RAN故障管理(68%优先级最高)。 4. **挑战与数据**:跨域集成复杂度(60%认为极具挑战)、数据质量(61%)及孤岛问题(45%)是主要障碍。 5. **效益案例**:中国移动通过Level 4 AN实现故障修复时间(MTTR)减少30%,节省6,000人年工时;DNB(马来西亚)网络MTTR降低54%。 6. **AI融合**:32%的运营商已引入生成式AI(GenAI)到网络运营,目标场景包括闭环自动化、RAN优化等。
AN如何降本增效? AN评估工具怎么用? AN落地挑战有哪些?
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