Research Interests
My current research focuses on 1) designing terahertz (THz) nanocommunication and networking approaches for enabling novel applications such as non-invasive in-body healthcare and intelligent reflective surfaces; 2) mmWave communication and networking supported by mobile wireless infrastructures; and 3) context-based optimizations in wireless networks.
1) Terahertz (THz) Nanocommunication and Networking
Recent developments in nanotechnology herald nanometer-sized devices expected to bring light to a number of groundbreaking applications. Communication with and among nanodevices will be needed for unlocking the full potential of such applications. Among the alternative paradigms, electromagnetic nanocommunication in the terahertz (THz) frequency band is particularly promising, mainly due to the breakthrough of novel materials, primarily graphene. For this reason, my current research is aiming at developing THz band nanocommunication and nanonetworking approaches.
Main publications
G. Calvo, F. Lemic et al. "Graph Neural Networks as an Enabler of Terahertz-based Flow-guided Nanoscale Localization over Highly Erroneous Raw Data", IEEE Journal on Selected Areas in Communications, 2024
F. Lemic et al. "Toward Location-aware In-body Terahertz Nanonetworks with Energy Harvesting", ACM International Conference on Nanoscale Computing and Communication (NanoCom), 2022
F. Lemic et al. "Survey on Terahertz Nanocommunication and Networking: A Top-Down Perspective", IEEE Journal on Selected Areas in Communications, 2021
2) Mobility Management in Future Wireless Networks
Future (mmWave & THz) wireless networks are envisioned to utilize directional communication for combating attenuation at high frequencies and can deliver tens of gigabits per second bitrates required by various ground-breaking applications (e.g., virtual reality and aerial wireless networks). However, such networks currently do not perform well under in dynamic conditions, i.e., when the communicating devices are mobile or if there are humans obstructing the communication. To mitigate these issues, the main idea of this research is to optimize mobility management in future wireless networking infrastructures.
Main publications
F. Lemic et al. "Predictive Context-Awareness for Full-Immersive Multiuser Virtual Reality with Redirected Walking", IEEE Communications Magazine, 2023
Struye, J., Lemic F., Famaey, J. "Millimeter-Wave Beamforming with Continuous Coverage for Mobile Interactive Virtual Reality", IEEE Transactions on Wireless Communications, 2022
F. Lemic et al. "Short-Term Trajectory Prediction for Full-Immersive Multiuser Virtual Reality with Redirected Walking", IEEE Global Communications Conference (GlobeCom), 2022
3) Context-based Optimizations in Future Wireless Networks
The main hypothesis of context-based optimizations in wireless networks is that this rich context information, if utilized by the 5G- and beyond-5G-promising technologies, can improve their performance substantially beyond the current improvements made in the 5G. Due to recent advances in the IoT and big data, the research is broadly viewed as timely and its results are envisioned to serve as an argument for utilization of context information for performance optimizations in beyond-5G wireless networks.
Main publications
S. Santi, F. Lemic, Famaey "Location-based Discovery and Network Handover Management for Heterogeneous IEEE 802.11ah IoT Applications", IEEE Transactions on Network and Service Management, 2022
F. Lemic et al. “Location-based Discovery and Vertical Handover in Heterogeneous Low-Power Wide-Area Networks”, IEEE Internet of Things Journal, 2019
F. Lemic et al. "Regression-based Estimation of Individual Errors in Fingerprinting Localization", IEEE Access, 2019