Networks and Telecommunications

-This project is taken and no longer available Quantum communications protocols for entanglement distribution

Marco Ruffini (email | all projects)

Project Description: The exploration of quantum communication protocols for entanglement distribution is critical to advancing secure and efficient quantum networks. Entanglement, a unique quantum phenomenon, enables instantaneous correlations across vast distances, which is essential for applications like quantum key distribution (QKD) and quantum teleportation. In particular, quantum teleportation is an essential feature of quantum networks as … Read more

[Taken] Project Proposal: Machine Learning for Mobility Model Identification and Feature Understanding in Large Networking Datasets

Merim Dzaferagic (email | all projects)

In the era of large-scale communication networks, understanding user mobility patterns is crucial for optimizing network resources, improving service quality, and enhancing user experience. Mobility models provide insights into how users move within a network, influencing network planning, resource allocation, and handover decisions. However, traditional approaches to identifying these models often rely on predefined assumptions … Read more

Project Proposal: Agent-Based Modeling for Self-Organization in Communication Networks

Merim Dzaferagic (email | all projects)

The growing complexity of communication networks, especially with the introduction of 5G and future 6G, requires new approaches to ensure that these networks can meet the increasing demands for low latency, high reliability, and efficient resource allocation. Traditional centralized control methods often struggle to cope with the dynamic nature of these networks, particularly in environments … Read more

Deep Learning for Radio Signal Processing

Viet Quoc Pham (email | all projects)

With the great capability of learning high-level representational features of unstructured data automatically, deep learning is acknowledged as a powerful machine learning algorithm for radio signal processing. For example, convolutional neural networks (CNNs) are leveraged to develop automatic modulation classification frameworks in [1]-[3]. CNN and its combination with Vision Transformers are also used to design … Read more