包阅导读总结
1. 关键词:Ericsson、Cognitive Software、Google Cloud、Network Optimization、Cell Anomaly Detector
2. 总结:Ericsson 的认知软件利用创新的 AI 方法优化网络性能,与 Google Cloud 合作,集成先进服务,如 Vertex AI 和 BigQuery,开发的 Cell Anomaly Detector 能高效检测和解决网络异常,提升网络规划和运营,减少上市时间。
3. 主要内容:
– Ericsson 的网络规划和优化解决方案面临各代 RAN 的独特挑战
– 认知软件采用 AI 优化网络性能
– 探索借助 Google Cloud 适应动态用例和加快上市
– 网络评估中识别和解决问题任务艰巨
– 认知软件的 AI 驱动优化可检测和解决网络异常
– 技术探索中 Google Cloud 与 Ericsson 合作
– 集成先进的超大规模云服务
– 展示 Cell Anomaly Detector 用例
– Cell Anomaly Detector 是网络性能管理的变革者
– 主动识别、分类和解决 RAN 中的细胞问题
– 多维度分析超 200 个 KPI,分类准确率达 98%
– 显示结果并提供 API,改善网络 KPI 等指标
思维导图:
文章来源:cloud.google.com
作者:Mamadou Camara,Billion Lo
发布时间:2024/6/18 0:00
语言:英文
总字数:708字
预计阅读时间:3分钟
评分:85分
标签:电信,合作伙伴,人工智能,云计算,网络优化
以下为原文内容
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Regardless of the network architecture or generation, each radio access network (RAN) presents unique challenges in network planning and optimization. Ericsson’s network planning and optimization solutions, Cognitive Software, utilizes an innovative AI-based approach to optimize network performance and is exploring Google Cloud to rapidly adapt to dynamic use cases and faster time to market.
With hundreds of thousands of cells in a network to assess, identifying and resolving network issues is a daunting task. However, the strong legacy of AI-driven network optimization with Cognitive Software delivers intelligent solutions to detect and resolve network anomalies.
During technology exploration, Google Cloud and Ericsson Cognitive Software have collaborated to integrate advanced hyperscale cloud services, such as Vertex AI and BigQuery. This integration has led to a demonstration of the Cell Anomaly Detector use case with Google Cloud’s Vertex AI, first launched at Mobile World Congress 2024 in Barcelona.
The demo showcases the capabilities of using Ericsson’s Cognitive software AI model deployed on Google Cloud’s Vertex AI to detect anomalies in cellular networks, which represents an exciting advancement at the intersection of cloud computing and telecommunications technology.
By utilizing AI technologies, the Google Cloud and Ericsson exploration further seeks to enhance network planning, optimization, and operation while providing telcos with dynamic, scalable solutions that significantly reduce time to market.
The Cell Anomaly Detector: A game-changer in network performance management
The Cell Anomaly Detector from Ericsson’s Cognitive Software was developed to proactively identify, classify, and address cell issues in radio access networks (RAN).
This use case is a trailblazer in the telecommunications field, running a multi-dimensional analysis on over 200 KPIs to unearth hidden patterns and recognize abnormalities quickly and accurately. The tool classifies abnormal cells into several issue classes with an impressive accuracy of 98% — arguably higher than human skill level.
The results are then displayed on a web user interface, offering detailed insights into the issues and providing APIs to connect with other applications already in use by communication service providers. This approach has delivered significant improvements in network KPIs, reduced customer complaints, and minimized operational expenditure (OPEX) for over 60 network operators worldwide.