Modeling and Simulation of WiFi Communication

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Project Description

This project models and simulates WiFi communication using object-oriented programming principles. The simulator incorporates key features such as inheritance, data abstraction, data hiding, and polymorphism to represent and simulate WiFi 4, WiFi 5, and WiFi 6 technologies.

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Communication Types

1. WiFi 4 Communication (CSMA/CA)

   • Simulates communication via a single access point (AP) and a set of users.
   • Implements sniffing of the channel and random backoff times for collision avoidance.
   • Evaluates throughput, average latency, and maximum latency for:
     • 1 user and 1 AP
     • 10 users and 1 AP
     • 100 users and 1 AP
   • Assumptions:
     • 20 MHz bandwidth
     • 256-QAM modulation with a coding rate of 5/6
     • 1 KB packet size

2. WiFi 5 Communication (MU-MIMO)

   • Allows parallel transmissions after a broadcast packet and sequential channel state information (CSI) transmissions.
   • Simulates round-robin scheduling of users.
   • Evaluates throughput, average latency, and maximum latency for:
     • 1 user and 1 AP
     • 10 users and 1 AP
     • 100 users and 1 AP

3. WiFi 6 Communication (OFDMA)

   • Enables subdivision of a 20 MHz channel into 2 MHz, 4 MHz, or 10 MHz sub-channels.
   • Supports parallel communication across sub-channels for 5 ms intervals.
   • Simulates round-robin scheduling of users.
   • Evaluates throughput, average latency, and maximum latency for:
     • 1 user and 1 AP
     • 10 users and 1 AP
     • 100 users and 1 AP

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Directory Structure

WiFiSimulator/
├── include/                # Header files
│   ├── Simulator.hpp       # Base class for all WiFi simulations
│   ├── WiFi4Simulator.hpp  # WiFi 4-specific header
│   ├── WiFi5Simulator.hpp  # WiFi 5-specific header
│   ├── WiFi6Simulator.hpp  # WiFi 6-specific header
│   ├── AccessPoint.hpp     # Access Point abstraction
│   ├── Channel.hpp         # Channel abstraction
│   ├── Packet.hpp          # Packet abstraction
│   ├── User.hpp            # User abstraction
│
├── src/                    # Source files
│   ├── Simulator.cpp       # Base class implementation
│   ├── WiFi4Simulator.cpp  # WiFi 4-specific implementation
│   ├── WiFi5Simulator.cpp  # WiFi 5-specific implementation
│   ├── WiFi6Simulator.cpp  # WiFi 6-specific implementation
│   ├── AccessPoint.cpp     # Access Point implementation
│   ├── main.cpp            # Entry point for the simulator
│   ├── User.cpp            # User Class implementation
│   └── Packet.cpp          # Packet Class implementation
│   ├── Channel.cpp         # Channel Class implementation
│
├── build/                  # Compiled object files and executable
│   ├── *.o                 # Object files
│   ├── Simulator_opt       # Final executable (optimized)
│   ├── Simulator_debug     # Final debug executable
│
├── lib/                    # Libraries (static and shared)
│   ├── libSimulator.a      # Static library
│   ├── libSimulator.so     # Shared library
│
├── Makefile                # Build configuration
└── README.md               # Documentation (this file)

Clone the Repo

1. To Clone this Project:

   https://github.com/gkdey17cse/OOPD_Project.git

Compilation and Execution Using Makefile

The Makefile automates the compilation process for both debug and optimized builds of all three parts of the system. Here’s how to use it:

Build Commands

1. Compile all debug and optimized binaries:

   make

To Run Files

1. To run debug version :

   ./build/Simulator_debug

2. To run Question1.cpp optimized version :

   ./build/Simulator_opt

Clean Compiled Files

1. Clean all debug and optimized binaries:

   make clean

Note

This project was developed with the assistance of OpenAI's ChatGPT and references from various open-source platforms. The insights, explanations, and code snippets provided by ChatGPT were instrumental in understanding and implementing the WiFi communication simulation. Additionally, open-source resources were used for ideas and inspiration in building this educational project.

Special acknowledgment to OpenAI and the open-source community for their invaluable contributions and support.