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5G Network Simulation in NS3 using mmWave | NS3 Tutorial 2024

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5G Network Simulation in NS3 Using mmWave This post shows the installation of ns3mmwave in Ubuntu 24.04 and simulates 5G networks in ns3. Installation of #5g networks in ns3 namely mmWave for #ns3 #TSP #pradeepkumar #pradeepkumarts Prerequisites: 1. Ubuntu OS (I used Ubuntu 24.04) 2. mmWave software from github To know the complete process, follow the video given below Open a new Terminal and try these commands $ sudo apt update $ sudo apt install g++ python3 cmake ninja-build git gir1.2-goocanvas-2.0 python3-gi python3-gi-cairo python3-pygraphviz gir1.2-gtk-3.0 ipython3 tcpdump wireshark libsqlite3-dev qtbase5-dev qtchooser qt5-qmake qtbase5-dev-tools openmpi-bin openmpi-common openmpi-doc libopenmpi-dev doxygen graphviz imagemagick python3-sphinx dia imagemagick texlive dvipng latexmk texlive-extra-utils texlive-latex-extra texlive-font-utils libeigen3-dev gsl-bin libgsl-dev libgslcblas0 libxml2 libxml2-dev libgtk-3-dev lxc-utils lxc-templates vtun uml-utilities ebtables bridg...
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Install Ubuntu 24.04 on Windows 11 in Under 5 Minutes with WSL2

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Are you eager to dive into the world of Linux but hesitant about partitioning your hard drive or dealing with complex installations? Good news! You can get a full fledged Ubuntu 24.04 (or almost any other Linux distribution) environment running on your Windows 11 machine in just a few minutes, thanks to the power of WSL (Windows Subsystem for Linux). This method is perfect for beginners just starting their Linux journey. It provides a seamless way to experiment with commands, learn the file system, and develop in a Linux environment without any risk to your existing Windows setup. If you're an experienced user who needs a dedicated system, a separate partition might still be your preferred route, but for everyone else, WSL is a game-changer! Here's how incredibly easy it is: Tools You'll Need: WSL (Windows Subsystem for Linux): This is the magic behind running Linux on Windows. Linux OS Distro: We'll be using Ubuntu 24.04, but you can pick almost any other distributio...
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ns-3 Tutorial: Simulating P2P & CSMA Networks with NetAnim, Wireshark, and FlowMonitor

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Welcome back! Today, we are going to explore a hybrid network topology in ns-3.44 . We will be simulating a network that consists of two Point-to-Point (P2P) nodes and three CSMA (Carrier Sense Multiple Access) nodes (representing a LAN). Beyond just running the simulation, we are going to experiment with five essential modules to visualize and analyze our network performance: NetAnim (Network Animation) AsciiTraceHelper (TraceMetrics-1.4.0) Gnuplot (Graphing data) Packet Capture (Wireshark & .pcap files) Flow Monitor (Performance statistics) Let's get started! Check the full video here: Prerequisites & Setup We will be using the standard example file second.cc . First, we need to copy this file from the examples directory to our scratch directory so we can modify it without ruining the original. Open your terminal and run: Bash cd ns-allinone-3.44/ns-3.44 cp examples/tutorial/second.cc scratch/ Now, let's verify that the basic simulation works: Bash ./ns3 run s...
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Surface Defect Detection Using Deep Learning (NEU Dataset) with Streamlit App

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Surface defect detection plays a critical role in modern manufacturing industries, especially in steel and metal production. Manual inspection is time-consuming, error-prone, and not scalable. In this post, I demonstrate how Deep Learning can be effectively used to detect surface defects using the NEU Surface Defect Dataset , along with a live Streamlit web application demo . I have also recorded a full live lecture , where I explain the dataset, training process, and real-time defect prediction using a Streamlit app. NEU Surface Defect Detection 📌 What This Project Covers Understanding the NEU Surface Defect Dataset Training a Deep Learning CNN model using PyTorch Running a Streamlit-based web application Uploading a test image to predict the type of surface defect End-to-end execution on Ubuntu 24.04 This project is highly useful for: Engineering students Research scholars Faculty members Industry professionals in manufacturing and quality inspecti...
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