Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 32nd cycle (2016-2019)
Ph.D. obtained in 2020
Dissertation:
Adaptive Network Densification with Small Cell Mobile Base Stations Carried by Vehicles (Abstract)
Tutors:
Marco Giuseppe Ajmone MarsanPublications
Works published during the Ph.D. View all publications in Porto@Iris
- Mohammadnia, Foroogh (2020)
Adaptive Network Densification with Small Cell Mobile Base Stations Carried by Vehicles. relatore: AJMONE MARSAN, Marco Giuseppe; , 32. XXXII Ciclo, P.: 109
Doctoral Thesis - Mohammadnia, Foroogh; Vitale, Christian; Marco, Fiore; Mancuso, Vincenzo; AJMONE MARSAN, ... (2019)
Mobile Small Cells for Adaptive RAN Densification: Preliminary Throughput Results. In: WCNC 2019
Contributo in Atti di Convegno (Proceeding) - AJMONE MARSAN, Marco Giuseppe; Mohammadnia, Foroogh; Vitale, Christian; Fiore, Marco; ... (2019)
Towards Mobile Cellular Infrastructures for Mobile Users. In: AD HOC NETWORKS. ISSN 1570-8705
Contributo su Rivista - Mohammadnia, Foroogh; AJMONE MARSAN, Marco Giuseppe; Fiore, Marco (2018)
Adaptive densification of mobile networks: exploring correlations in vehicular and telecom traffic. In: The 17th Annual Mediterranean Ad Hoc Networking Workshop 2018 (Proceedings)
Contributo in Atti di Convegno (Proceeding) - Jenabzadeh, Ahmadreza; Safarinejadian, Behrouz; Mohammadnia, Foroogh (2017)
Distributed Consensus Filter for a Class of Continuous-Time Nonlinear Stochastic Systems in Sensor Networks. In: ASIAN JOURNAL OF CONTROL, vol. 19, pp. 1284-1294. ISSN 1561-8625
Contributo su Rivista - Safarinejadian, Behrouz; Mohammadnia, Foroogh (2016)
Distributed weighted averaging-based robust Cubature Kalman Filter for state estimation of nonlinear systems in wireless sensor networks. In: 6th International Conference on Computer and Knowledge Engineering, ICCKE 2016, Ferdowsi University of Mashhad, irn, 2016, pp. 66-71. ISBN: 9781509035861
Contributo in Atti di Convegno (Proceeding) - Fard, Abdollah Kavousi; Samet, Haidar; Mohammadnia, Foroogh (2016)
Evolutionary short term load forecasting based on ANN: A comparison with the most well-known algorithms. In: 24th Iranian Conference on Electrical Engineering, ICEE 2016, Shiraz University, irn, 2016, pp. 133-137. ISBN: 9781467387897
Contributo in Atti di Convegno (Proceeding)