Electronics | Wireless Communication Projects Free Downloads

By: Engineer's Planet

Discover a wide range of free electronics and wireless communication projects tailored for engineering students. These projects cover topics such as IoT, RF communication, Bluetooth, and more, providing hands-on experience with real-world applications. Each project includes source code and detailed documentation to help students enhance their technical skills.

This project uses deep neural networks for adaptive receiver design in dynamic channels. By employing a two-stage meta-learning approach, it enables rapid online adaptation without additional pilot signals, improving performance by up to 2.5 dB in high-dynamic environments.

1. Adaptive Receiver Design Using Meta-Learning

This project introduces a GAN-based model-free method for joint activity detection and channel estimation in IoT networks. Utilizing a U-net architecture and optimized pilot matrix, it outperforms previous methods in high SNR regimes by enhancing learning capability.

2. GAN-Based Joint Activity Detection

3. Introducing Sionna: A TensorFlow-Based Library

Sionna is an open-source TensorFlow library for link-level simulations, enabling efficient design of complex communication systems with GPU concurrency and native neural network integration, aiding scientists in productive research and development.

4. Deep Learning-Driven Joint Channel Estimation 

Deep Learning-Driven Joint Channel Estimation and Signal Detection for Underwater Wireless Optical Communication This study proposes a deep learning-based framework for joint channel estimation and signal detection in underwater wireless optical communication systems

5. Deep Learning-Based One-Bit Signal Detection

A Model-Aware Approach with LoRD-Net LoRD-Net is a deep neural network that reconstructs high-dimensional signals from one-bit quantized measurements, addressing communication system challenges.

In Conclusion, Whether you’re looking to explore wireless technologies or develop innovative solutions, these projects are perfect for learning and experimentation. Ideal for both beginners and advanced students, the projects offer practical insights into the evolving field of wireless communication.