White papers
These white papers present Ericsson’s official position or standpoint on a particular ICT topic. They explore issues related to the development of markets, business or technology. White papers are future-looking and cover areas highly relevant for our current and potential customers, as well as our own business interests.
6G——迈向2030年代的连接与未来
6G标志着从今天的5G独立组网（5G SA）网络向一种统一云、计算与连接的AI原生智能编织（intelligent fabric）的转变。它在5G-Advanced的基础上构建，将在现有5G频段中扩展性能，并通过更精简的设计增添新的厘米波容量，同时改善能效与成本效率。
- Also available in:
- English
Trustworthy AI for Telecom Systems
As networks become autonomous, AI moves from assistive to decisive. This whitepaper explores how to build trust into large language models, generative...
6G – connectivity and beyond for the 2030’s
6G marks the shift from today’s 5G Standalone networks to an AI-native intelligent fabric uniting cloud, compute, and connectivity. Building on 5G Advanced,...
- Also available in:
- 简体中文
Automated threat hunting in telecom networks
Telecom operators face advanced, telecom-specific cyber threats that outpace traditional security. This white paper shows how automated, knowledge-guided...
Integrating FRMCS: Enhancing rail communications with 5G technology
Countries have recognized that rail is the most sustainable, innovative, and secure mode of transportation today and will remain so in the foreseeable...
Massive MIMO for superior network performance
Recent technology developments have made Massive MIMO a viable option for large scaledeployments in mobile networks. Massive MIMO enables state-of-the-art...
The Network for AI Experiences
The future of AI revolution depends on the convergence of three technology pillars: AI, cloud, and mobile. AI models are becoming more powerful, evolving...
From data mess to AI-ready data mesh
Over the coming decade, telecom landscape will be shaped by the ability to fully harness data possible. A key challenge will be managing high volumes of...
5G positioning: Locating 5G devices anywhere
Learn how 5G standalone networks enable precise indoor and outdoor positioning while significantly reducing deployment, management, and maintenance...
白皮书 — AI智能体在电信网络架构中的应用
自智网络之旅早已启动，但直至近期才开始显著加速。AI智能体、生成式AI（GenAI）及大语言模型（LLM）凭借强大的自主能力，预计将成为提升网络效率、改进客户服务与运营管理的关键组件。本白皮书将明确AI智能体的定义，并以TM...
- Also available in:
- English
AI agents in the telecommunication network architecture
The evolution toward autonomous networks is rapidly gaining momentum, driven by the integration of AI agents, generative AI, and large language models....
- Also available in:
- 简体中文
