Cooperation with the International Research Centre in Area of Communication Systems

The project supports collaboration with EURECOM and its partners in area of machine learning and estimation for optimization of mobile networks. From the scientific point of view, the objective is to develop algorithms and methods for radio resource allocation and computing resource allocation in mobile networks with cloud-based architecture encompassing Multi-access Edge Computing and Cloud-RAN.

Radio resource management, Mobile Edge Computing, Machine learning

Major results and publications

J. Plachy, Z. Becvar, E. Calvanese Strinati and N. di Pietro
Dynamic Allocation of Computing and Communication Resources in Multi-Access Edge Computing for Mobile Users
IEEE Transactions on Network and Service Management, 2021.
P. Mach, T. Spyropoulos and Z. Becvar
Incentive-based D2D Relaying in Cellular Networks
IEEE Transactions on Communications, volume 69, no. 3, 2021.
M. Najla, Z. Becvar, P. Mach and D. Gesbert
Predicting Device-to-Device Channels from Cellular Channel Measurements: A Learning Approach
IEEE Transactions on Wireless Communications, volume 19, no. 11, 2020.
P. Mach, Z. Becvar and T. Spyropoulos
Incentive Mechanism and Relay Selection for D2D Relaying in Cellular Networks
IEEE Global Communications Conference (IEEE Globecom 2019), 2019.
R.G. Cheng, Z. Becvar, Y.S. Huang, G. Bianchi and R. Harwahyu
Two-Phase Random Access Procedure for LTE-A Networks
IEEE Transactions on Wireless Communications, volume 18, no. 4, 2019.

Date:: 01/2017 – 12/2019
Project no.:: LTT 18007
Funding:: Ministry of Education, Youth and Sports
Budget:: ~250k EUR
PI:: Zdenek Becvar
Team:: Pavel Mach, Mehyar Najla, Jan Plachy
Partners:: --