Key research themes
1. How can stochastic geometry and related mathematical frameworks enhance modeling and performance analysis of wireless networks?
This research area focuses on employing advanced mathematical models, particularly stochastic geometry and point process theory, to rigorously analyze and predict the behavior and performance of wireless networks under spatial uncertainties. It matters because wireless nodes' locations in large-scale networks are inherently random and affect connectivity, interference, and coverage, which in turn impacts network design and protocol optimization.
2. What are the challenges and solutions for Quality of Service (QoS) management in next-generation wireless networks, particularly 5G and IoT networks?
This theme investigates how to ensure reliable, efficient, and fair resource allocation in complex and heterogeneous wireless environments like 5G and IoT networks. QoS management underpins network performance guarantees important for diverse applications with varying demands (e.g., low latency, high throughput). The research emphasizes intelligent, adaptive scheduling and resource management techniques, including machine learning and reinforcement learning.
3. How can artificial intelligence and associated technologies improve wireless network security, monitoring, and user experience?
This area covers the deployment of AI techniques—including deep learning, machine learning, and AI integration with blockchain—to enhance wireless network security, threat detection, traffic analysis, and usability. Given the increasing complexity and threat landscape of wireless networks, AI provides adaptive, scalable, and robust means for real-time monitoring, anomaly detection, and autonomous defense mechanisms, as well as educational tools for security awareness.
