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MATLAB codes for the paper "3GPP-inspired Stochastic Geometry-based Mobility Model for a Drone Cellular Network".
A 5g testbed incorporating the 5G core and RAN in a single Docker container network
This set of Python scripts allow you to convert pcap, pcapnp or pdml 5G protocol traces (Wireshark, tcpdump, ...) into SVG sequence diagrams.
A python tool to decipher/decrypt 5G ciphered NAS message and export plain 5G NAS into wireshark pcap file
In this work, we present a 5G trace dataset collected from a major Irish mobile operator. The dataset is generated from two mobility patterns (static and car), and across two application patterns(video streaming and file download). The dataset is composed of client-side cellular key performance indicators (KPIs) comprised of channel-related metrics, context-related metrics, cell-related metrics and throughput information. These metrics are generated from a well-known non-rooted Android network monitoring application, G-NetTrack Pro. To the best of our knowledge, this is the first publicly available dataset that contains throughput, channel and context information for 5G networks. To supplement our real-time 5G production network dataset, we also provide a 5G large scale multi-cell ns-3 simulation framework. The availability of the 5G/mmwave module for the ns-3 mmwave network simulator provides an opportunity to improve our understanding of the dynamic reasoning for adaptive clients in 5G multi-cell wireless scenarios. The purpose of our framework is to provide additional information (such as competing metrics for users connected to the same cell), thus providing otherwise unavailable information about the basestation (eNodeB or eNB) environment and scheduling principle, to end user. Our framework permits other researchers to investigate this interaction through the generation of their own synthetic datasets.
Ad-hoc simulation with 12 mobile nodes in NS2. This is to compare performance under different combinations of routing protocols (AODV, DSDV, DSR) and congestion control algorithms (TCP Reno, New Reno, Vegas)
Develop a model and its algorithm that could provide an efficient and reliable drone placement and scheduling by adjusting the drone position ensuring the surveillance of all targets at the same time. Technologies used:- Graph Theory, C++
Comparison of different types of MANET Routing Protocols using NS3 Simulator.
Implementation of the Anchored Self-Similar 3D Gauss-Markov Mobility Model for Ad Hoc Routing Scenarios.
This code is for a MATLAB GUI in which AODV routing protocol is implemented for WSN. The source nodes are changing each time with number of packets.
A simulation of the ad-hoc on-demand distance vector (AODV) routing protocal for wireless networks in MATLAB.
AODV simulation by NS2. With 100 wireless node, 25 TCP/ CBR connection and FTP data source
Mobile node use AODV (Ad Hoc On Demand Vector) protocol to communicate between node. Its a ns2 simulation for the AODV which repesent the functional aspect of mobile node.
Modified AODV Based on Clustering and Gateway for Wireless Sensor Network
A solution to the Base Station Positioning problem using the Bat Optimization Algorithm
Biological evolution simulator
pfcp decoder for wireshark update with Cisco CUPS specific IE
Code and pre-trained model for the algorithm generating visualisations of 3 climate change related events: floods, wildfires and smog.
Implementation of a cross-layer routing module in ns-3 to supports data communication in underwater wireless sensor networks.
In a fast fading rate V2V DSRC channel using crosslayer interaction to maximize throughput, and sustain a stabile CCh channel-link
Minimalistic DeepDream with C89
A neural network that predicts a drone's position from the IMU, Barometer, and Magnetometer measurements
Docker files to run open5gs + IMS + eNB + gNB + NR-UE in a docker
Solving Beamforming problem using reinforcement learning between Base station and UAV
Interpreter that runs on an arduino, decodes and executes ducky script on a microSD card.
A connectionless Wi-Fi communication protocol
docker-compose of free5gc
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.