Communication in Self-optimizing Mobile Networks with Drones

The project aims the investigation of fundamental principles and the development of algorithms enabling user’s communication in mobile networks with highly flexible and self-optimizing radio access network encompassing drones carrying small base stations (denoted as flying base stations). We will develop algorithms for the optimal association of mobile terminals to either conventional static or flying base stations, for positioning of the flying base station with respect to users’ position and requirements, and for allocation of radio resources.

UAVs, Machine learning, Self-optimization, Radio resource management, Energy efficiency

Major results and publications

Z. Becvar, M. Nikooroo and P. Mach
On Energy Consumption of Airship-based Flying Base Stations Serving Mobile Users
IEEE Transactions on Communications, volume 70, no. 10, 2022.
M. Nikooroo and Z. Becvar
Optimization of Total Power Consumed by Flying Base Station Serving Mobile Users
IEEE Transactions on Network Science and Engineering, volume 9, no. 4, 2022.
P. Mach, Z. Becvar and M. Najla
Power Allocation, Channel Reuse, and Positioning of Flying Base Stations with Realistic Backhaul
IEEE Internet of Things Journal, volume 9, no. 3, 2022.
M. Nikooroo and Z. Becvar
Optimal Positioning of Flying Base Stations and Transmission Power Allocation in NOMA Networks
IEEE Transactions on Wireless Communications, volume 21, no. 2, 2022.
T. Nugraha, Z. Becvar and P. Mach
Selection of Relays in Multi-Pair D2D Communication with Multicast
European Wireless (EW 2021), 2021.
M.S. Hossain and Z. Becvar
Soft Frequency Reuse with Allocation of Resource Plans based on Machine Learning in the Networks with Flying Base Stations
IEEE Access, volume 9, 2021.
M. Najla, Z. Becvar, P. Mach and D. Gesbert
Positioning and Association Rules for Transparent Flying Relay Stations
IEEE Wireless Communications Letters, volume 10, no. 6, 2021.
A. Madelkhanova and Z. Becvar
Optimization of Cell Individual Offset for Handover of Flying Base Station
IEEE Vehicular Technology Conference (IEEE VTC-Spring 2021), 2021.
E. Calvanese Strinati, S. Barbarossa, T. Choi, A. Pietrabissa, A. Giuseppi, E. De Santis and , et al.
6G in the Sky: On-Demand Intelligence at the Edge of 3D Networks
ETRI Journal, volume 42, no. 5, 2020.
J. Plachy and Z. Becvar
Energy Efficient Positioning of Flying Base Stations via Coulomb's law
IEEE Global Communications Conference (IEEE Globecom 2020) workshop on Space-Ground Integrated Networks, 2020.
P. Mach, Z. Becvar and M. Najla
Joint Association, Transmission Power Allocation and Positioning of Flying Base Stations Considering Limited Backhaul
IEEE Vehicular Technology Conference (IEEE VTC-Fall 2020), 2020.
M. Najla, Z. Becvar, P. Mach and D. Gesbert
Integrating UAVs as Transparent Relays into Mobile Networks: A Deep Learning Approach
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2020), 2020.
M. Nikooroo and Z. Becvar
Optimization of Transmission Power for NOMA in Networks with Flying Base Stations
IEEE Vehicular Technology Conference (IEEE VTC-Fall 2020), 2020.
M.S. Hossain and Z. Becvar
Flexible Soft Frequency Reuse for Interference Management in the Networks with Flying Base Stations
IEEE Vehicular Technology Conference (IEEE VTC-Spring 2020), 2020.
Z. Becvar, P. Mach and M. Nikooroo
Reducing Energy Consumed by Repositioning of Flying Base Stations Serving Mobile Users
IEEE Wireless Communications and Networking Conference (IEEE WCNC 2020), 2020.
M. Nikooroo and Z. Becvar
Optimizing Transmission and Propulsion Powers for Flying Base Stations
IEEE Wireless Communications and Networking Conference (IEEE WCNC 2020), 2020.
M. Nikooroo and Z. Becvar
Joint Positioning of UAV and Power Control for Flying Base Stations in Mobile Networks
IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (IEEE WiMOB 2019), 2019.
Z. Becvar, P. Mach, J. Plachy and M.F.P. de Tuleda
Positioning of Flying Base Stations to Optimize Throughput and Energy Consumption of Mobile Devices
IEEE Vehicular Technology Conference (IEEE VTC-Spring 2019), 2019.
J. Plachy, Z. Becvar, P. Mach, R. Marik and M. Vondra
Joint Positioning of Flying Base Stations and Association of Users: Evolutionary-Based Approach
IEEE Access, volume 7, 2019.
Z. Becvar, M. Vondra, P. Mach, J. Plachy and D. Gesbert
Performance of Mobile Networks with UAVs: Can Flying Base Stations Substitute Ultra-Dense Small Cells?
European Wireless (EW 2017), 2017, BEST PAPER AWARD.

Date:: 01/2018 – 06/2021
Project no.:: P102/18/27023S
Funding:: Czech Science Foundation (GACR)
Budget:: ~175k EUR
PI:: Zdenek Becvar
Team:: Pavel Mach, Mehyar Najla, Saleh Nikooroo, Jan Plachy, Aida Madelkhanova, Miguel Fontanilla Perez de Tudela
Partners:: --