Research & Publications

This upcoming research will analyze the performance of various 5G NR MIMO implementations on open-source software-defined radio platforms. We will compare computational efficiency, latency, and throughput across different hardware configurations.

This in-progress research develops a comprehensive framework for remote SDR laboratory access specifically designed for advanced wireless communications education. The work includes architecture design, security considerations, and pedagogical approaches for remote experimentation.

This proposed research will investigate novel spectrum sensing algorithms that leverage deep learning techniques for cognitive radio networks. We plan to develop and evaluate new approaches that significantly improve detection accuracy in low SNR environments.

This research in development focuses on creating an accessible Open RAN testbed using low-cost SDR hardware. The work aims to democratize Open RAN experimentation and education by providing an affordable yet comprehensive implementation.

This planned research will explore federated learning approaches for distributed spectrum sensing in IoT networks. The work will investigate privacy-preserving collaborative learning techniques that enable efficient spectrum utilization while minimizing data sharing.

This upcoming research will focus on sub-THz channel characterization for 6G communications using advanced SDR platforms. We will develop novel measurement methodologies and analyze propagation characteristics in various environments.

This in-progress research focuses on developing a software-defined implementation of Wi-Fi 7's multi-link operation feature. The work includes protocol design, implementation on SDR platforms, and performance evaluation in realistic environments.

This proposed research will investigate the implementation of post-quantum cryptographic algorithms for securing SDR-based wireless communications. The work will evaluate performance, resource requirements, and security guarantees of various quantum-resistant approaches.