NVIDIA 开源工具助力研究者构建下一代 6G 网络
原标题：How NVIDIA Open Source Tools Are Helping Researchers Build Next-Generation 6G Networks
AI 摘要
NVIDIA 回顾其开源 Aerial、Sionna 等 6G 工具一年来的进展：全球开发者采用量增长 10 倍，开源 5G/6G 工具下载量突破 100 万次，超过 8000 家研究机构在使用。多所高校基于这些工具展示了面向 AI 原生 6G 的研究成果，包括伦敦国王学院用语义通信将机器人任务完成时间最多缩短 52.6%、软银在 ACAR 中集成神经接收器使上行吞吐最高提升约 60%、利兹大学将 RAN 功耗降低 45.6%，以及 CTTC 把信道仿真时间从约 3 小时压缩到 10-20 分钟。
正文节选
A year ago, NVIDIA open sourced its Aerial wireless software, joining Sionna and a broader suite of open source tools for accelerating next-generation 6G network development. Together, they give researchers a foundation for testing ideas, comparing results and building on each other’s work — connecting simulation and AI training with experiments on real over-the-air wireless systems. Today, researchers and developers are using these tools to build 6G-ready networks that do more than just transmi