CRAWDAD umkc/networkslicing5g

Citation Author(s):
Anurag
Thantharate
University of Missouri Kansas City
Cory
Beard
University of Missouri Kansas City
Rahul
Paropkari
University of Missouri Kansas City
Vijay
Walunj
University of Missouri Kansas City
Submitted by:
CRAWDAD Team
Last updated:
Mon, 03/21/2022 - 08:00
DOI:
10.15783/k0w0-js18
License:
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Abstract 

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. IEEE paper "DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks" (https://ieeexplore.ieee.org/document/8993066)

2. IEEE paper "Secure5G: A Deep Learning Framework Towards a Secure Network Slicing in 5G and Beyond" (https://ieeexplore.ieee.org/document/9031158)

date/time of measurement start: 2019-05-01

date/time of measurement end: 2019-10-30

measurement purpose: Computer Malware (Worms) Investigation, Energy-Efficient Wireless Network, Network Diagnosis, Network Performance Analysis, Network Security, Routing Protocol

file: 5G_Dataset_Network_Slicing_CRAWDAD_Shared.zip

Instructions: 

University of Missouri Kansas City 5G Dataset, 6G Dataset, Network Slicing, Wireless Dataset, eMBB, URLLC, mMTC. DOI: https://doi.org/10.15783/k0w0-js18

Contributed by Anurag Thantharate, Cory Beard, Rahul Paropkari, Vijay Walunj.

Dataset Files

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These datasets are part of Community Resource for Archiving Wireless Data (CRAWDAD). CRAWDAD began in 2004 at Dartmouth College as a place to share wireless network data with the research community. Its purpose was to enable access to data from real networks and real mobile users at a time when collecting such data was challenging and expensive. The archive has continued to grow since its inception, and starting in summer 2022 is being housed on IEEE DataPort.

Questions about CRAWDAD? See our CRAWDAD FAQ. Interested in submitting your dataset to the CRAWDAD collection? Get started, by submitting an Open Access Dataset.