Open research positions @ IETR, France
The ELEDIA Research Center is pleased to announce two open position as postdoctoral fellows and two as PhD students at…
Call for papers open for NCMIP 2018
The ELEDIA Research Center is pleased to announce the "8th International Conference on New Computational Methods for Inverse Problems" (NCMIP…
Ing. Ahmed won the "Student Competition Award" at QNDE-2017
The ELEDIA Research Center is pleased to announce that Ing. S. Ahmed won among all the applicants disciplines into "Student Competition…
IEEE-JMMCT Special Section on MbD
The ELEDIA Research Center is pleased to announce an upcoming Special Section of the IEEE Journal on Multiscale and Multiphysics…
R. J. Mailloux has joined ELEDIA
The ELEDIA Research Center is pleased to announce that Dr. R. J. Mailloux is member of the ELEDIA Teaching Staff.…
A key issue for cellular operators is the planning or re-configuration of radio base stations (BTSs) for fitting user requirements and guaranteeing a suitable quality of service (QoS). Time-varying scenarios as well as different and variable user needs require flexible and fast planners easy to use. Towards this end, the combination of reliable models able to predict the actual coverage of 3G and 4G networks with computationally-efficient optimizers is of great intrest in order to automatically configure large networks and achieve optimal performances in terms of throughput, served users, and bandwidth re-use.
Large Cellular Networks, WiFi Networks, 3G/4G Mixed Networks


Starting from models proposed in the literature, members of the ELEDIA Research Center have developed innovative stochastic radio planners able to deduce the optimal configuration of large 3G and 4G networks. Unlike standard planning tools, such approaches consider a set of requirements expressed in terms of communication traffic over the region of interest and they determine the corresponding optimal setup able to guarantee the required throughput. More specifically, the research activities carried out in this area have been focused on the development of ad-hoc Evolutionary algorithms and their integration with state-of-the-art coverage models in order to automatically plan the network configuration for large sites (several hundreds BTSs).


Coverge Probability Before Optimization


Coverge Probability After Optimization

Keywords: Cellular networks, Evolutionary Algorithms, 3G and 4G Networks, Radio Planning, Next Generation Wireless Communications


Additional Material

VELA Project

See Also

  • L. Manica, G. Oliveri, G. Ruscitti, L. Gandini, and A. Massa, "An innovative and reliable tool for the electromagnetic prediction in UMTS scenarios," PIERS 2011 in Marrakesh, Marrakesh, Morocco, Mar. 20-23, 2011.