Publications

didactics Prof. Granelli

Prof. Granelli is author of more than 200 publications (h-index=30). The following is a list of the most relevant publications. For a complete list, please check:
- F. Granelli’s Google Scholar page
- F. Granelli’s page on ResearchGate

Ad Hoc Networks
S. Althunibat, Qi Wang, F. Granelli
in: Ad Hoc Networks, Vol. 41, pp. 47-56, 2016 [doi]

Ad Hoc Networks
R. Riggio, T. Rasheed, S. Testi, F. Granelli, I. Chlamtac
in: Ad Hoc Networks, Vol. 9, n. 5, pp. 864-875, 2010 [doi]

Ad Hoc Networks
D. Kliazovich, F. Granelli
in: Ad Hoc Networks, Vol. 4, n. 6, pp. 687-708, 2006 [doi]

Advances in Multimedia
F. Granelli, C. E. Costa, A. K. Katsaggelos
in: Advances in Multimedia, Vol. 2007, Article ID 95807, 14 pages, 2007 [doi]

Cluster Computing
D. Boru, D. Kliazovich, F. Granelli, P. Bouvry and A. Y. Zomaya
in: Cluster Computing , Vol. 18, n. 1, pp 385–402 , 2015 [doi]

Computer Communications
S. Althunibat, M. Di Renzo, F. Granelli
in: Computer Communications, Vol. 43, pp. 55-63, 2014 [doi]

Computer Communications
R. Riggio, D. Miorandi, F. De Pellegrini, F. Granelli,I. Chlamtac
in: Computer Communications, Vol. 31, n. 7, pp. 1290-1300, 2008 [doi]

Computer Networks
Christian Facchini, Oliver Holland, Fabrizio Granelli,Nelson L.S. da Fonseca, Hamid Aghvami
in: Computer Networks, Vol. 57, pp. 1597-1610, 2013 [doi]

Computer Networks
K Gomez, D Boru, R Riggio, T Rasheed, D Miorandi, F Granelli
in: Computer Networks, Vol. 56, n. 10, pp. 2506-2521, 2012 [doi]

Computer Networks
D. Batista, S.N. L. Da Fonseca, F. K. Miyazawa
in: Computer Networks, Vol. 52, pp. 1762-1781, 2008 [doi]

Computer Networks
D. Kliazovich, F. Granelli, D. Miorand
in: Computer Networks, Vol. 52, n. 12, pp. 2395-2410, 2008 [doi]

Computer Networks
D. Kliazovich,F. Granelli, M. Gerla
in: Computer Networks, Vol. 51, pp. 4396-4411, 2007 [doi]

Electronics Letters
F. Granelli, C. Sacchi, C. Regazzoni
in: Electronics Letters, Vol .35, n. 14, pp. 1147-1148, 1999 [doi]

Electronics Letters
M. Accame, F. Granelli
in: Electronics Letters, Vol. 34, n. 1, pp. 51-52, 1998 [doi]

EURASIP Journal on Applied Signal Processing
C. Costa, F. De Natale, F. Granelli
in: EURASIP Journal on Applied Signal Processing, N. 12, pp. 1899-1911, 2004 [doi]

EURASIP Journal on Wireless Communications and Networking
S. Althunibat, N. Zorba, F. Granelli, C. Verikoukis
in: EURASIP Journal on Wireless Communications and Networking, p. 83, 2013 [doi]

EURASIP Journal on Wireless Communications and Networking
F. Granelli, R. Riggio, T. Rasheed, D. Miorandi
in: EURASIP Journal on Wireless Communications and Networking, pp. 1-17, 2010 [doi]

Expert Systems with Applications
S. Messelodi, C. M. Modena, M. Zanin, F. De Natale,F. Granelli, E. Betterle, A. Guarise
in: Expert Systems with Applications, Vol. 36, n. 3, pp. 4213-4227, 2008 [doi]

IEEE Access
Claudio Fiandrino and Andrea Capponi and Giuseppe Cacciatore and Dzmitry Kliazovich and Ulrich K. Sorger and Pascal Bouvry and Burak Kantarci and Fabrizio Granelli and Stefano Giordano
in: IEEE Access, Vol. 5 3490-3503, 2017 [doi]

Abstract
Smart cities take advantage of recent Information and Communication Technology (ICT) developments to provide added value to existing public services and improve quality of life for the citizens. The Internet of Things (IoT) paradigm makes the Internet more pervasive where objects equipped with computing, storage, and sensing capabilities are interconnected with communication technologies. Because of the widespread diffusion of IoT devices, applying the IoT paradigm to smart cities is an excellent solution to build sustainable ICT platforms. Having citizens involved in the process through mobile crowdsensing (MCS) techniques augments capabilities of these ICT platforms without additional costs. For proper operation, MCS systems require the contribution from a large number of participants. Simulations are therefore a candidate tool to assess the performance of MCS systems. In this paper, we illustrate the design of CrowdSenSim, a simulator for mobile crowdsensing. CrowdSenSim is designed specifically for realistic urban environments and smart cities services. We demonstrate the effectiveness of CrowdSenSim for the most popular MCS sensing paradigms (participatory and opportunistic), and we present its applicability using a smart public street lighting scenario.

IEEE Access
M. Usman, A.A. Gebremariam, U. Raza, F. Granelli
in: IEEE Access, Vol. 3, pp. 1649-1654, 2015 [doi]

IEEE Communications Letters
S. Althunibat, F. Granelli
in: IEEE Communications Letters, Vol. 18, n. 8, 2014 [doi]

IEEE Communications Letters
S. Althunibat, V. Sucasas, H. Marques, J. Rodriguez, R. Tafazolli, F. Granelli
in: IEEE Communications Letters, Vol. 17, p. 1564-1567, 2013 [doi]

IEEE Communications Letters
S Althunibat, R Palacios, F Granelli
in: IEEE Communications Letters, Vol. 16, n. 7, pp. 998-1001, 2012 [doi]

IEEE Communications Letters
C. Sacchi, F. Granelli and C. Schlegel
in: IEEE Communications Letters, Vol. 15, n. 5, pp. 494-496 , 2011 [doi]

IEEE Communications Letters
D. Kliazovich, P. H. Gomes, F. Granelli and N. L. S. da Fonseca
in: IEEE Communications Letters, Vol. 15, n. 7, pp. 728-730, 2011 [doi]

IEEE Communications Letters
F. Granelli, G. Boato, D. Kliazovich, G. Vernazza
in: IEEE Communications Letters, Vol. 11, n. 10, pp. 781-783, 2007 [doi]

IEEE Communications Magazine
F. Granelli
in: IEEE Communications Magazine, vol. 54, no. 11, pp. 124-129 , 2016 [doi]

IEEE Communications Magazine
F. Granelli, A.A. Gebremariam, M. Usman, F. Cugini, V. Stamati, M. Alitska, P. Chatzimisios
in: IEEE Communications Magazine, Vol. 53, no. 6, pp. 26-34 , 2015 [doi]

IEEE Communications Magazine
S. Wang, F. Granelli, Y. Li, S. Chen
in: IEEE Communications Magazine, Vol. 52, n. 7, 2014 [doi]

IEEE Communications Magazine
F. Granelli, P. Pawelczak, R.V. Prasad, K.P. Subbalakshmi, R. Chandramouli, J.A. Hoffmeyer, H.S. Berger
in: IEEE Communications Magazine, Vol. 48, n. 1, pp. 71-79, 2010 [doi]

IEEE Communications Magazine
R. Riggio, N. Scalabrino, D. Miorandi,F. Granelli, Y. Fang, E. Gregori, I. Chlamtac
in: IEEE Communications Magazine, Vol. 46, n. 6, pp. 156-162, 2008 [doi]

IEEE Communications Surveys and Tutorials
H. Mohsenian-Rad, F. Granelli, K. Ren, C. Develder, L. Chen, T. Jiang, X. Liu
in: IEEE Communications Surveys and Tutorials, Vol. 16, No. 3, pp. 1687-1688, 2014 [doi]

IEEE Journal on Selected Areas in Communications
I. Safak Bayram, George Michailidis, Michael Devetsikiotis, Fabrizio Granelli
in: IEEE Journal on Selected Areas in Communications, Vol. 31, pp. 1235-1246, 2013 [doi]

IEEE Network
P Atungire, TF Rahman, F Granelli, C Sacchi
in: IEEE Network, Vol. 28, No. 5, pp. 20-26, 2014 [doi]

IEEE Network
F. Granelli, R. Bassoli
in: IEEE Network, Vol. 32, N. 5, pp. 76-84, 2018 [doi]

Abstract
The effort of telecommunications operators in 5G design and implementation is oriented to effective and efficient verticals support. Full network softwarization will deploy tools such as software-defined networks and network functions virtualization to allow dynamic service provisioning on the same physical infrastructure. However, current 5G proposed architecture still requires further enhancement to guarantee full real-time on-demand services. Current virtualization technologies still miss complete automation and adaptation, while they do not have dynamic negotiation capabilities. These issues are bounding the desired complete automation and the significant reduction in OPEX and CAPEX. Thus, this article proposes a full architecture to realize autonomic mobile virtual network operators. These autonomic virtual operators can be deployed by Internet service providers to guarantee efficient and effective network adaptation to unexpected events and real-time resource requests. The objective of an AMVNO is to exploit softwarization of networks and experiential intelligence to play the role of a local operator by performing network management and service release without human intervention. Its autonomic character can also provide proactive actions against unwanted network states.

IEEE Sensors Journal
S. Althunibat, A. Antonopoulos, E. Kartsakli, F. Granelli and C. Verikoukis
in: IEEE Sensors Journal , Vol. 16, no. 23, pp. 8627-8639, 2016 [doi]

Abstract
Smart cities take advantage of recent Information and Communication Technology (ICT) developments to provide added value to existing public services and improve quality of life for the citizens. The Internet of Things (IoT) paradigm makes the Internet more pervasive where objects equipped with computing, storage, and sensing capabilities are interconnected with communication technologies. Because of the widespread diffusion of IoT devices, applying the IoT paradigm to smart cities is an excellent solution to build sustainable ICT platforms. Having citizens involved in the process through mobile crowdsensing (MCS) techniques augments capabilities of these ICT platforms without additional costs. For proper operation, MCS systems require the contribution from a large number of participants. Simulations are therefore a candidate tool to assess the performance of MCS systems. In this paper, we illustrate the design of CrowdSenSim, a simulator for mobile crowdsensing. CrowdSenSim is designed specifically for realistic urban environments and smart cities services. We demonstrate the effectiveness of CrowdSenSim for the most popular MCS sensing paradigms (participatory and opportunistic), and we present its applicability using a smart public street lighting scenario.

IEEE Transactions on Aerospace and Electronic Systems
C. Sacchi, T. Rossi, M. Ruggieri and F. Granelli
in: IEEE Transactions on Aerospace and Electronic Systems , Vol. 47, n. 2, pp. 974-995 , 2011 [doi]

IEEE Transactions on Circuits and System for Video Technology
L. Atzori, F. De Natale, F. Granelli
in: IEEE Transactions on Circuits and System for Video Technology , Vol. 12, n. 5, p. 285-298, 2002 [doi]

IEEE Transactions on Consumer Electronics
M. Accame, F. Granelli
in: IEEE Transactions on Consumer Electronics, Vol. 45, n. 1, pp. 13-20, 1999 [doi]

IEEE Transactions on Consumer Electronics
M. Accame, F. De Natale, F. Granelli
in: IEEE Transactions on Consumer Electronics, Vol. 44, n.1, pp. 52-61, 1998 [doi]

IEEE Transactions on Vehicular Technology
S. Althunibat, B. J. Denise and F. Granelli
in: IEEE Transactions on Vehicular Technology, Vol. 65, No. 9, pp. 7308-7321, 2016 [doi]

International Journal of Communication Systems
J. Moghaddam, F. Granelli, H. Farrokhi
in: International Journal of Communication Systems, Vol. 30, No. 8, 2017 [doi]

Abstract
In this paper, we investigate a two‐step cooperative cognitive radio network, which consists of two secondary links, a number of relays, and one primary link. During the first step, the primary link is assumed to be idle; both secondary sources simultaneously broadcast their data to the relay network. During the second step, the relay network employs a proposed cooperative beamforming (CBF) scheme and transmits the received data toward both of the secondary destinations (no matter whether the primary link is idle or not). The proposed CBF scheme enables the investigated network to simultaneously maximize received signal to interference plus noise ratio at both of the secondary destinations while keeping interference plus noise power at the primary destination under a predefined threshold. Indeed, the proposed scheme represents an optimal received signal to interference plus noise ratio balancing approach based on CBF, which guarantees the required quality of service for the primary link and also both secondary links. We optimize the CBF vector by relaxing the optimization problem to a convex semidefinite programming and solving with the bisection search algorithm. Numerical results show the efficiency and robustness of our approach. A comparison of our approach with the zero‐forcing beamforming method is also presented.

International Journal of Communication Systems
M Usman, D Kliazovich, F Granelli, P Bouvry, P Castoldi
in: International Journal of Communication Systems, Vol. 30, 2015 [doi]

International Journal of Communication Systems
Dzmitry Kliazovich, Simone Redana, Fabrizio Granelli
in: International Journal of Communication Systems, Vol. 25, n. 4, pp 213-222, 2011 [doi]

International Journal of Computer Research
F. Granelli,D. Kliazovich, S.N. L. Da Fonseca
in: International Journal of Computer Research, Vol. 14, n. 1/2, pp. 85-108, 2007 [doi]

International Journal of Pattern Recognition and Artificial Intelligence
F. De Natale, F. Granelli, G. Vernazza
in: International Journal of Pattern Recognition and Artificial Intelligence, Vol. 16, n. 2, pp. 193-214, 2002 [doi]

Journal of Communications
F. Granelli
in: Journal of Communications, Vol. 1, n. 1, pp. 35-41, 2005 [doi]

Journal of Computer Systems, Networks, and Communications
N. Ben Halima, D. Kliazovich, F. Granelli
in: Journal of Computer Systems, Networks, and Communications, Vol. 2010, Article ID 256964, 8 pages, 2010 [doi]

Journal of Information Processing
A. Nakao, P. Du, Y. Kiriha, F. Granelli, A.A. Gebremariam, T. Taleb, M. Bagaa
in: Journal of Information Processing, Vol. 25, pp. 153-163, 2017 [doi]

Abstract
The research and development (R&D) and the standardization of the 5th Generation (5G) mobile networking technologies are proceeding at a rapid pace all around the world. In this paper, we introduce the emerging concept of network slicing that is considered one of the most significant technology challenges for 5G mobile networking infrastructure, summarize our preliminary research efforts to enable end-to-end network slicing for 5G mobile networking, and finally discuss application use cases that should drive the designs of the infrastructure of network slicing.

Journal of Interconnection Networks
F. Granelli, D. Kliazovich
in: Journal of Interconnection Networks, Vol. 7, n. 1, pp. 51-61, 2006 [doi]

Journal of Internet Engineering
C. Facchini, F. Granelli, N.L.S. da Fonseca
in: Journal of Internet Engineering, Vol. 4 n. 1, 269-278, 2010 [doi]

Journal of Internet Services and Applications
F. Granelli, M. Devetsikiotis
in: Journal of Internet Services and Applications, Vol. 2, n. 2, p. 67-68, 2011 [doi]

Mobile Networks and Applications
F. Granelli, H. Zhang, X. Zhou, S. Maranò
in: Mobile Networks and Applications, Vol. 11, n. 4, pp. 487-499, 2006 [doi]

Mobile Networks and Applications
D. Kliazovich, F. Granelli
in: Mobile Networks and Applications, Vol. 10, pp. 607-615, 2005 [doi]

Security and Communication Networks
V. Sucasas, S. Althunibat, A. Radwan, H. Marques, J. Rodriguez, S. Vahid, R. Tafazolli, F. Granelli
in: Security and Communication Networks, Vol. 8 pp. 3978–3994 , 2015 [doi]

Signal Processing
M. Accame, F. De Natale, F. Granelli
in: Signal Processing, Vol. 80, pp. 1127-1131, 2000 [doi]

Signal Processing Image Communication
C. Sacchi, F. Granelli, C. Regazzoni, F. Oberti
in: Signal Processing Image Communication, Vol. 17, n. 2, pp. 165-186, 2002 [doi]

Signal Processing Image Communication
F. De Natale, L. Atzori, F. Granelli
in: Signal Processing Image Communication, Vol. 16, n. 8, pp. 809-816, 2001 [doi]

Simulation Modeling Practice and Theory
I. Papapanagiotou, F. Granelli, D. Kliazovich
in: Simulation Modeling Practice and Theory, Vol 19, n. 9, pp. 2177-2129, 2011 [doi]

Telecommunication Systems
S Althunibat, F Granelli
in: Telecommunication Systems, Volume 62, Issue 3, pp 569–580 , 2016 [doi]

Telecommunication Systems
Saud Althunibat, Marco Di Renzo, Fabrizio Granelli
in: Telecommunication Systems, Vol. 59, n. 1, pp 77–91 , 2014 [doi]

Transactions on Emerging Telecommunications Technologies
A. Cimmino, T. Pecorella, R. Fantacci, F. Granelli, T.F. Rahman, C. Sacchi, C. Carlini, P. Harsh
in: Transactions on Emerging Telecommunications Technologies, Vol 25, n. 1, 2013 [doi]

Wireless Communications and Mobile Computing
Anteneh A. Gebremariam, Muhammad Usman, Riccardo Bassoli and Fabrizio Granelli
in: Wireless Communications and Mobile Computing, Vol. 2018, Article ID 7253283, 7 pages, 2018 [doi]

Abstract
Achieving the low-latency constraints of public safety applications during disaster could be life-saving. In the context of public safety scenarios, in this paper, we propose an efficient radio resource slicing algorithm that enables first responders to deliver their life-saving activities effectively. We used the tool of stochastic geometry to model the base station distribution before and after a disaster. In addition, under this umbrella, we also proposed an example of public safety scenario, ultrareliable low-latency file sharing, via in-band device-to-device (D2D) communication. The example scenario is implemented in NS-3. The simulation results show that radio resource slicing and prioritization of first responders resources can ensure ultrareliable low-latency communication (URLLC) in emergency scenarios.

Wireless Networks
Jorge Lima de Oliveira Filho, D. Kliazovich, F. Granelli, E. Madeira, N. L. S. da Fonseca
in: Wireless Networks, Vol. 19, n. 6, 2013 [doi]

Wireless Networks
D. Kliazovich, F. Granelli
in: Wireless Networks, Vol. 14, n. 4, pp. 519-529, 2008 [doi]

Wireless Personal Communications
C. Sacchi, G. Berlanda Scorza, F. Granelli, F. De Natale
in: Wireless Personal Communications, Vol. 36, n. 4, pp. 403-424, 2006 [doi]