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Progetto di ricerca PRIN "GAUCHO"



  1. Bartoli Giulio, Beaulieu Norman C., Fantacci Romano, Marabissi Dania, An Effective Multiuser Detection Scheme for MPR Random Access Networks. IEEE Transaction on Communications, vol. 65, no. 3, pp. 1119-1130, March 2017, doi: 10.1109/TCOMM.2016.2645760.
  2. Alippi C., Fantacci R., Marabissi D., Roveri M. (2016). A Cloud to the Ground: The New Frontier of Intelligent and Autonomous Networks of Things. IEEE COMMUNICATIONS MAGAZINE, p. 1-8, ISSN: 0163-6804
  3. Chiti Francesco, Fantacci Romano, Duzgun Fatma Gamze, Vespri Vincenzo(2016). A Game Theory Inspired Channel Allocation Policy for Multi-RadioPervasive Ad Hoc Communications. WIRELESS COMMUNICATIONS AND MOBILECOMPUTING, vol. 16, p. 1826-1836, ISSN: 1530-8669, doi: 10.1002/wcm.2654
  4. Marabissi Dania, Bartoli Giulio, Fantacci Romano, Pucci Marco (2016). An Optimized CoMP Transmission for a Heterogeneous Network Using eICICApproach. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 65, p.8230-8239, ISSN: 0018-9545, doi: 10.1109/TVT.2015.2510029
  5. Simoni Renato, Jamali Vahid, Zlatanov Nikola, Schober Robert, Pierucci Laura, Fantacci Romano (2016). Buffer-Aided Diamond Relay Network withBlock Fading and Inter-Relay Interference. IEEE TRANSACTIONS ON WIRELESSCOMMUNICATIONS, vol. 15, p. 7357-7372, ISSN: 1536-1276, doi:10.1109/TWC.2016.2601333
  6. Chiti Francesco, Fantacci Romano, Loreti Michele, Pugliese Rosario (2016). Context-aware wireless mobile autonomic computing andcommunications: Research trends and emerging applications. IEEE WIRELESSCOMMUNICATIONS, p. 1-5, ISSN: 1536-1284, doi: 10.1109/MWC.2016.7462489
  7. Chiti Francesco, Fantacci Romano, Pierucci Laura (2016). Dynamic Multicast Link Selections for Buffer-Aided Relaying Networks.INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, vol. 29, p. 1790-1804,ISSN: 1074-5351, doi: 10.1002/dac.3145


  1. F. Chiti, R. Fantacci, Y. Gu, Z. Han, "Content Sharing in Internet of Vehicles: Two Matching-Based User-Association Approaches", Vehicular Communications, vol. 8, pp. 35-44, April 2017, ISSN:2214-2096 
  2. C.Alippi, M.Roveri, "The (not) far away path from smart cyber-physical systems: an information-centric framework", IEEE Computers Magazine, vol. 50, no. 4, pp. 38-47, April 2017
  3. Enzo Baccarelli, Paola G. Vinueza Naranjo, Mohammad Shojafar, Michele Scarpiniti, "Q∗: Energy and delay-efficient dynamic queue management in TCP/IP virtualized data centers", Elsevier Computer Communications Journal.
  4. M. Shojafar, N. Cordeschi, E. Baccarelli, "Energy-Efficient Adaptive Resource Management for Real-Time Vehicular Cloud Services", IEEE Trans. On Cloud Computing, vol. 7, issue 1, pp. 196-209, Jan-March 2019, Doi: 10.1109/TCC.2016.2551747.
  5. E. Baccarelli, P.G.Vinueza, M.Scarpiniti, M.Shojafar, J.H. Abawajy, ”Fog of Everything: energy-efficient networked computing architectures, research challenges, and a case study”, IEEE Access, DOI: 10.1109/ACCESS.2017.2702013, May 2017.
  6. M. Shojafar, Z. Pooranian, P. G. Vinueza Naranjo and E. Baccarelli,"FLAPS: bandwidth and delay-efficient distributed data searching in Fog-supported P2P content delivery networks",Journal of Supercomputing, Springer, in press, DOI: 10.1007/s11227-017-2082-y, June 2017
  7. D. Mazza, D. Tarchi and G. E. Corazza, "A Unified Urban Mobile Cloud Computing Offloading Mechanism for Smart Cities," in IEEE Communications Magazine, vol. 55, no. 3, pp. 30-37, March 2017.
  8. F. Chiti, R. Fantacci, A. Tani, "Performance Evaluation of an Adaptive Channel Allocation Technique for Cognitive Wireless Sensor Networks", IEEE Transaction on Vehicular Technology, vol. 66, n. 6, June 2017
  9. D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz, J. Arenas-García and A. Uncini, "Combined Nonlinear Filtering Architectures Involving Sparse Functional Link Adaptive Filters", Signal Processing, Vol. 135, pp. 168-178, June 2017. 
  10. D. Marabissi, G. Bartoli, R. Fantacci, L. Micciullo, "Energy efficient cooperative multicast beamforming in ultra dense networks". pp.1-6. In IET COMMUNICATIONS - ISSN:1751-8628 
  11. F. Chiti, R. Fantacci, L. Pierucci, "Social-Aware Relay Selection for Cooperative Multicast Device-to-Device Communications". pp.1-10. In FUTURE INTERNET - ISSN:1999-5903
  12. D. Marabissi, R. Fantacci, "Heterogeneous Public Safety Network Architecture based on RAN slicing". DOI:10.1109/ACCESS.2017.2768800. pp.24668-24677. In IEEE ACCESS - ISSN:2169-3536 vol. 5.
*** "In one of the most cited IEEE Access articles published in 2017, a group of researchers examines how the technological paradigms of Fog Computing (FC) and the Internet of Everything (IoE) can successfully integrate. Read the full article at: "
More details are available at:



  1. F. Chiti, R. Fantacci, A. Rizzo, "An integrated software platform for airport queues prediction with application to resources management", Journal of Air Transport ManagementVolume 67, March 2018, Pages 11-18.
  2. N. Cordeschi, D. Amendola, E. Baccarelli, "Fairness-constrained optimized time-window controllers for secondary-users with primary-user reliability guarantees", in Computer Communications, vol. 116, 2018, p. 63-76, ISSN 0140-3664.
  3. Bozorgchenani A, Jahanshahi M, Tarchi D. "Gateway selection and clustering in multi-interface wireless mesh networks considering network reliability and traffic". Trans Emerging Tel Tech. 2017;e3215.
  4. M. Scarpiniti, E. Baccarelli, P. G. Vinueza Naranjo, and A. Uncini, "Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centers", The Journal of Supercomputing, Vol. 74, N. 5, pp. 2161-2198, May 2018.
  5. P. G. Vinueza Naranjo, E. Baccarelli and M. Scarpiniti, "Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications", The Journal of Supercomputing, Vol. 74, N. 6, pp. 2470-2507, June 2018.
  6. E. Baccarelli, M. Scarpiniti, P. G. Vinueza Naranjo and L. Vaca-Cardenas, "Fog of Social IoT: When the Fog Becomes Social", IEEE Network, Vol. 32, N. 4, pp. 68-80, July/August 2018. DOI: 10.1109/MNET.2018.1700031
  7. E. Baccarelli, M. Scarpiniti and A. Momenzadeh, "Fog-supported delay-constrained energy-saving live migration of VMs over MultiPath TCP/IP 5G connections", IEEE Access, Vol. 6, pp. 42327-42354, 2018. DOI: 10.1109/ACCESS.2018.2860249
  8. F. Chiti, R. Fantacci, B. Picano,"A Matching Game for Tasks Offloading in Integrated Edge-Fog Computing Systems" Transactions on Emerging Telecommunications Technologies, vol.5 n.6, pp.  5089--5096, December 2018.


  1. M. Scarpiniti, E. Baccarelli and A. Momenzadeh, "VirtFogSim: A Parallel Toolbox for Dynamic Energy-Delay Performance Testing and Optimization of 5G Mobile-Fog-Cloud Virtualized Platform", Applied Sciences, Vol. 9, N. 6, Paper 1160, pp. 1-48, March 2019, DOI: 10.3390/app9061160.
  2. G. Bartoli, F. Chiti, R. Fantacci, B. Picano"An Efficient Resource Allocation Scheme for Applications in LR-WPANs based on a Stable Matching with Externalities Approach", IEEE Transactions on Vehicular Technology, vol. 68, n.6, pp 5893-5903, June 2019.
  3. E. Baccarelli, M. Scarpiniti and A. Momenzadeh, "EcoMobiFog - Design and dynamic optimization of a 5G Mobile-Fog-Cloud multi-tier ecosystem for the real-time distributed execution of stream applications", IEEE Access, Vol. 7, pp. 55565-55608, 2019, DOI: 10.1109/ACCESS.2019.2913564.
  4. F. Chiti, R. Fantacci, F. Paganelli, B. Picano,"Virtual Functions Placement with Time Constraints in Fog Computing: a Matching Theory Perspective", IEEE Transactions on Network and Service Management, DOI 10.1109/TNSM.2019.2918637, 2019.
  5. G. Bartoli, R. Fantacci, D. Marabissi, "Resource Allocation Approaches for Two-Tiers Machine-to-Machine Communications in an Interference Limited Environment", IEEE Internet of Things Journal, ISSN: 2327-4662, DOI: 10.1109/JIOT.2019.2927812, pp. 9112-9122, vol. 6 n.5, October 2019.
  6. D. Marabissi; R. Fantacci, "Highly flexible RAN slicing approach to manage isolation, priority, efficiency. DOI:10.1109/ACCESS.2019.2929732 pp.1-13. In IEEE ACCESS - ISSN:2169-3536, 2019.
  7. B. Picano, R. Fantacci. Z. Han, "Nonlinear Dynamic Chaos Theory Framework for Passenger Demand Forecasting in Smart City", IEEE Trans. Vehicular Technology, pp. 8533-8545, vol. 69, n.9, September 2019.
  8. F. Chiti, R. Fantacci, F. Nizzi, L. Pierucci, C. Borrego, "A Distributed Token Passing Protocol for Time Constrained Data  Gathering in VANETs", MDPI Electronics Journal, Networks - Vehicular Networks and Communications, vol. 8 n.8, August 2019.
  9. A. Bonadio, F. Chiti, R. Fantacci, V. Vespri, "An Integrated Framework for BlockChain inspired Fog Communications and Computing in Internet of Vehicles", in Springer Journal of Ambient Intelligence and Humanized Computing, DOI:10.1007/s12652-019-01476-y, pp. 755-762, vol.11 n.2, February 2019.
  10. M. Scarpiniti, E. Baccarelli, A. Momenzadeh and A. Uncini, “SmartFog: Training the Fog for the Energy-Saving Analytics of Smart-Meter Data”, Applied Sciences, Vol. 9, N. 19, Paper 4193, pp. 1-15, October 2019. DOI: 10.3390/app9194193.
  11. R. Fantacci, F. Nizzi, T. Pecorella, L. Pierucci, M. Roveri  "False Data Detection for Fog and Internet of Things Networks", Sensors, Special Issue on Security, Privacy, and Trustworthiness of Sensor Networks and Internet of Things, MDPI, DOI:10.3390/s19194235. pp.1-19, ISSN:1424-8220, vol. 19, October 2019.
  12. M. Roveri, "Learning Discrete-Time Markov Chains Under Concept Drift." IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 9, pp. 2570-2582, Sept. 2019.
  13. R. Fantacci, B. Picano, "A Federated Learning Framework for Mobile Edge Computing Networks “, CAAI Transactions on Intelligence Technology, 2020.


  1. A. Bonadio, F. Chiti, R. Fantacci, "Performance Analysis of an Edge Computing SaaS System for Mobile Users", to be published in the IEEE Transactions on Vehicular Technology, 2020.
  2. R. Fantacci, B. Picano, "A Federated Learning Framework for Mobile Edge Computing Networks “, CAAI Transactions on Intelligence Technology, 2020.
  3. F. Chiti, R. Fantacci, L. Pierucci, "Optimal Links Selection Procedure in Buffer-Aided Relaying for Point-to-Multipoint Communications", IET Communications Journal, vol.14, n.2, January 2020.
  4. E. Baccarelli, S. Scardapane, M. Scarpiniti, A. Momenzadeh and A. Uncini, “Optimized Training and Scalable Implementation of Conditional Deep Neural Networks with Early Exits for Fog-supported IoT Applications”, Information Sciences, Vol. 521, pp. 107-143, June 2020, DOI: 10.1016/j.ins.2020.02.041
Journal of Air Transport ManagementVolume 67, March 2018, Pages 11-18

An integrated software platform for airport queues prediction with application to resources management(Article)

last update: 24-Feb-2020
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