five

CRAWDAD dataset umkc/network (v. 2022-01-20)

收藏
DataCite Commons2023-02-08 更新2024-07-13 收录
下载链接:
https://ieee-dataport.org/open-access/crawdad-umkcnetworkslicing5g
下载链接
链接失效反馈
官方服务:
资源简介:
5G Dataset, 6G Dataset, Network Slicing, Wireless Dataset, eMBB, URLLC, mMTC We have created a Deep Learning model for 5G and Network Slicing. (eMBB, URLLC, IoT). I encourage developers and researchers working on the 4G/LTE, 5G, 6G and similar interest to use and provide feedback: Our research can be found at 1. DeepSlice:DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks 2. Secure5G: A Deep Learning Framework Towards a Secure Network Slicing in 5G and Beyond
提供机构:
Community Resource for Archiving Wireless Data at Dartmouth (CRAWDAD)
创建时间:
2022-01-20
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作