Electronics | Wireless Communication Projects

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.

Enhancing MIMO channel estimation using deep learning with score-based generative models, improving accuracy by up to 5 dB over GAN methods and 3 dB over compressed sensing techniques in various scenarios.

1. Enhancing MIMO Channel Estimation with Deep Learning

Using channel coding as a benchmark, this project explores task distribution and adaptation in meta-learning, addressing performance issues due to distribution shifts in realistic environments.

2. Channel Coding as a Benchmark for Studying Task Distribution

This study uses GANs to synthesize OFDM-QAM waveforms, addressing challenges in collecting and modeling RF communication signals, and evaluating the fidelity of generated signals using new GAN architectures.

3.  Deep Generative Modeling of RF Communication Signals

This study proposes two learning-based maximum likelihood detection schemes for uplink massive MIMO systems with one-bit ADCs, using controlled learning and noise injection techniques to improve detection performance without channel estimation.

4.  Learning-Based Maximum Likelihood Detection

This project introduces a deep learning decoder for BCH codes, using a DNN to identify error patterns based on syndrome, enhancing performance without retraining for any existing syndrome-based decoder.

5. A Novel Deep Learning Approach for Syndrome-Based Decoding

Conclusion These projects explore advanced deep learning techniques for communication systems. They enhance MIMO channel estimation, RF signal synthesis, and ML detection for MIMO with one-bit ADCs, and introduce a novel decoder for BCH codes. By addressing performance and data challenges, they demonstrate significant improvements in accuracy and efficiency across various scenarios.