Paolo Dini

Ico_CTTC
Paolo Dini | CTTC

Sustainable Artificial Intelligence (SAI)

Phd , Researcher

Phone: +34 93 645 29 00

Paolo Dini received the PhD in Information and Communication Science and Technologies (2005) and the ‘laurea’ in Electronic Engineering (2001) both from Università degli Studi di Roma “La Sapienza”.
From 2001 to 2005, he worked as a research assistant in the Computer Science and Systems (DIS) and the Information and Communication (INFOCOM) departments of Università degli Studi di Roma “La Sapienza”. In 2005, he worked with the Research Centre on Software Technologies (RCOST) – Università del Sannio – as a research assistant. In the same year, he was also part-time professor at the INFOCOM department, lecturing the course of ‘Comunicazioni Elettriche’.
Since 2006, he is with CTTC and coordinates the activities of the Sustainable Artificial Intelligence research unit.

His research interests encompass information engineering with particular emphasis on sustainable networking and computing, distributed optimization and optimal control, multi-agent systems, decision making processes, machine learning, data mining, analytics, and energy efficiency.

In his career, he has participated in over 25 research projects, 7 of them as PI (project coordinator or technical manager), 8 as CTTC-PI. He has been continuously promoting several funding initiatives and applications to EU competitive programs (FP5, FP6, FP7, H2020), national and regional governments, and private industries (Cisco, Huawei, Nokia, Toshiba, Orange, TIM). He has been contributing to different technology platforms, like Networld2020, Circular Economy Hotspot Catalunya, 5GBarcelona, 5GItaly, and standardization bodies (3GPP-SA group). Hence, he has created a solid network of international cooperation, built over fifteen years of multidisciplinary research activity.

He has been awarded by the Silicon Valley Foundation (Cisco) in 2008 and 2011 for his research on mobility management in heterogeneous networks. In 2018, he has been invited to the Coordinators’ InfoDay organized by the EU Research Executive Agency (REA) as an example of ‘ITN Best Practices’ for the coordination activities of H2020-MSCA-ETN-SCAVENGE. Currently, he is the coordinator of the CHIST-ERA SONATA project and the scientific coordinator of H2020-MSCA-ETN-GREENEDGE.
In 2021 he has been appointed as European Climate Pact Ambassador.

He has been actively organizing workshops and special sessions at different international venues (IEEE INFOCOM, IEEE SECON, IEEE WCNC, IEEE ICASSP, IEEE PIMRC, among others), chairing most of them. He is Topic Board Editor of the MDPI Sensors (IF 3.275) journal and within the technical program committee of multiple conferences of IEEE and ACM.
He co-organized over 10 training events and PhD courses in the field of machine learning, distributed optimization, sustainable networking, energy-aware cloud/edge computing, smart grid, renewable energy.

He recurrently participates in outreach activities (Catalan Science Week, European Green Week, Research Nights, to mention some).

He got the Accreditation of Research (Associate Professorship) by AQU Catalunya in 2021. He also received the National Scientific Habilitation to Associate Professorship (ASN – Seconda Fascia) for Italian Universities in 2021.
Since 2018, he is also serving as a reviewer of project proposals for the Italian Ministry of University and Research (MIUR) and regional governments of Italy.

He supervised 4 PhD thesis (alumni are now with CTTC, Huawei, Exein, Ericsson) and over 30 MSc thesis or internships. He has been invited to 5 PhD thesis evaluation boards. He is currently coordinating 4 PhD students and multiple post-docs.

He is the author of 5 book chapters, around 90 papers in scientific journals and international (peer-reviewed) conferences, and 1 patent.

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ORCID: http://orcid.org/0000-0001-6756-0289

Scholar: https://scholar.google.com/citations?user=ReRYAWUAAAAJ&hl=en

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“The world has enough for everyone’s need, but not enough for everyone’s greed.” – M. K. Gandhi

To Compute or Not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge Computing
IEEE Transactions on Network Science and Engineering. Vol. 11. No. 1. pp. 736-749 January 2024.
Ballotta L., Peserico G., Zanini F., Dini P.
10.1109/TNSE.2023.3306202 Google Scholar
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory
6th International Conference On Artificial Intelligence In Information And Communication, Icaiic 2024. pp. 249-254 January 2024.
Buratto A., Guerra E., Miozzo M., Dini P., Badia L.
10.1109/ICAIIC60209.2024.10463513 Google Scholar
The implications of decentralization in blockchained federated learning: Evaluating the impact of model staleness and inconsistencies
COMPUTER NETWORKS. Vol. 245. January 2024.
Wilhelmi F., Afraz N., Guerra E., Dini P.
10.1016/j.comnet.2024.110361 Google Scholar
PerconAI 2024: 3rd Workshop on Pervasive and Resource-Constrained Artificial Intelligence - Welcome and Committees
2024 Ieee International Conference On Pervasive Computing And Communications Workshops And Other Affiliated Events, Percom Workshops 2024. pp. 34-35 January 2024.
Angelov P., Bernardi M.L., Nardini F.M., Pecori R., Valerio L., Dini P., Ashraf S., Aversano L., Bianchini M., Brutti A., Bukovsky I., Cagnoni S., Cao J., Cimitile M., Dazzi P., Iammarino M., Iosifidis A., Michahelles F., Mora A., Mozzon S., Panella G., Picone M., Rulli C., Sadler B.M., Welsh M.
10.1109/PerComWorkshops59983.2024.10503466 Google Scholar
WiSense 2024: 1st International Workshop on Pervasive Wireless Sensing and Edge Computing - Welcome and Committees
2024 Ieee International Conference On Pervasive Computing And Communications Workshops And Other Affiliated Events, Percom Workshops 2024. pp. 61-62 January 2024.
Bulut E., Rossi M., Shahzad M., Bellavista P., Pegoraro J., Dini P., Gündüz D., Hassan M., Hernandez S.M., Jain V., Kanhere S.S., Lacruz J.O., Pathak P., Restuccia F., Vilajosana X., Vitetta G.M., Wang B., Wang X., Yang J., Zeng Y.
10.1109/PerComWorkshops59983.2024.10503163 Google Scholar
Urban Traffic Forecasting using Federated and Continual Learning
Proceedings - 2023 6th Conference On Cloud And Internet Of Things, Ciot 2023. pp. 1-8 January 2023.
Lanza C., Angelats E., Miozzo M., Dini P.
10.1109/CIoT57267.2023.10084875 Google Scholar
The Cost of Training Machine Learning Models Over Distributed Data Sources
Ieee Open Journal Of The Communications Society. Vol. 4. pp. 1111-1126 January 2023.
Guerra E., Wilhelmi F., Miozzo M., Dini P.
10.1109/OJCOMS.2023.3274394 Google Scholar
On the Decentralization of Blockchain-enabled Asynchronous Federated Learning
IEEE Conference on Network Softwarization. pp. 408-413 January 2023.
Wilhelmi, F., Guerra, E., Dini, P.
10.1109/NetSoft57336.2023.10175411 Google Scholar
A DL-based estimation probability approach for VRU collision avoidance
2023 Ieee Conference On Artificial Intelligence, Cai. pp. 23-25 January 2023.
Parada, R, Corvillo, R, Dini, P
10.1109/CAI54212.2023.00018 Google Scholar
Towards Energy-Aware Federated Traffic Prediction for Cellular Networks
2023 8th International Conference On Fog And Mobile Edge Computing, Fmec 2023. pp. 93-100 January 2023.
Perifanis V., Pavlidis N., Yilmaz S.F., Wilhelmi F., Guerra E., Miozzo M., Efraimidis P.S., Dini P., Koutsiamanis R.-A.
10.1109/FMEC59375.2023.10306017 Google Scholar
Fully Decentralized Client Selection for Energy-Efficient Federated Learning
2023 Ieee Intl Conf On Dependable, Autonomic And Secure Computing, Intl Conf On Pervasive Intelligence And Computing, Intl Conf On Cloud And Big Data Computing, Intl Conf On Cyber Science And Technology Congress (dasc/picom/cbdcom/cyberscitech). pp. 595-601 January 2023.
Guerra E., Miozzo M., Dini P.
10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361464 Google Scholar
Energy Optimization With Multi-Sleeping Control in 5G Heterogeneous Networks Using Reinforcement Learning
IEEE Transactions on Network and Service Management. Vol. 19. No. 4. pp. 4310-4322 December 2022.
El Amine, Ali, Chaiban, Jean-Paul, Haj Hassan, Hussein AI, Dini, P., Nuaymi, Loutfi, Achkar, Roger
10.1109/TNSM.2022.3157650 Google Scholar
Analysis and evaluation of synchronous and asynchronous FLchain
COMPUTER NETWORKS. Vol. 218. October 2022.
Wilhelmi, F, Giupponi, L, Dini, P
10.1016/j.comnet.2022.109390 Google Scholar
End-to-End Latency Analysis and Optimal Block Size of Proof-of-Work Blockchain Applications
IEEE COMMUNICATIONS LETTERS. Vol. 26. No. 10. pp. 2332-2335 January 2022.
Wilhelmi, F, Barrachina-Munoz, S, Dini, P
10.1109/LCOMM.2022.3194561 Google Scholar
Traffic Anomaly Detection Using Deep Semi-Supervised Learning at the Mobile Edge
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. Vol. 71. No. 8. pp. 8919-8932 January 2022.
Pelati, A, Meo, M, Dini, P
10.1109/TVT.2022.3174735 Google Scholar
Misbehavior Detection in Vehicular Networks: An Ensemble Learning Approach
2022 Ieee Global Communications Conference, Globecom 2022 - Proceedings. pp. 1850-1855 January 2022.
Sedar R., Kalalas C., Dini P., Alonso-Zarate J., Vázquez-Gallego F.
10.1109/GLOBECOM48099.2022.10001264 Google Scholar
Deep Reinforcement Learning for Autonomous Mobile Networks in Micro-grids
Deep learning for Unmanned Systems. pp. 259-308 October 2021.
Miozzo, Marco, Piovesan, Nicola, Temesgene, Dagnachew, Dini, Paolo
https://doi.org/10.1007/978-3-030-77939-9_8 Google Scholar
Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells
IEEE Transactions on Sustainable Computing. Vol. 6. No. 4. pp. 626-640 October 2021.
Temesgene, DA, Miozzo, M, Gunduz, D, Dini, P
10.1109/TSUSC.2020.3025139 Google Scholar
Mobile Traffic Classification through Physical Control Channel Fingerprinting: A Deep Learning Approach
IEEE Transactions on Network and Service Management. Vol. 18. No. 2. pp. 1946-1961 January 2021.
Trinh, H.D., Gambin, AF, Giupponi, L., Rossi, M., Dini, P.
10.1109/TNSM.2020.3028197 Google Scholar
Distributed and Multi-Task Learning at the Edge for Energy Efficient Radio Access Networks
IEEE Access. Vol. 9. pp. 12491-12505 January 2021.
Miozzo, M, Ali, Z, Giupponi, L, Dini, P
10.1109/ACCESS.2021.3050841 Google Scholar
User mobility inference and clustering through LTE PDCCH data analysis
IEEE Vehicular Technology Conference Proceedings. Vol. 2021-April. January 2021.
Batlle Franch, P., Josep Eritja Olivella, A., Maria Garcia Alarcia, R., Dini, P.
10.1109/VTC2021-Spring51267.2021.9448712 Google Scholar
Joint Load Control and Energy Sharing for Renewable Powered Small Base Stations: A Machine Learning Approach
IEEE Transactions on Green Communications and Networking. Vol. 5. No. 1. pp. 512-525 January 2021.
Piovesan, N, Lopez-Perez, D, Miozzo, M, Dini, P
10.1109/TGCN.2020.3027063 Google Scholar
A Semi-supervised Method to Identify Urban Anomalies through LTE PDCCH Fingerprinting
IEEE International Conference on Communications. January 2021.
Pelati, A, Meo, M, Dini, P
10.1109/ICC42927.2021.9500470 Google Scholar
Multi-Task Learning for Efficient Management of beyond 5G Radio Access Network Architectures
IEEE Access. Vol. 9. pp. 158892-158907 January 2021.
Ali, Z, Giupponi, L, Miozzo, M, Dini, P
10.1109/ACCESS.2021.3130740 Google Scholar
Anticipatory Allocation of Communication and Computational Resources at the Edge Using Spatio-Temporal Dynamics of Mobile Users
IEEE Transactions on Network and Service Management. Vol. 18. No. 4. pp. 4548-4562 January 2021.
Rago, A, Piro, G, Boggia, G, Dini, P
10.1109/TNSM.2021.3099472 Google Scholar
Sustainable Marine Ecosystems: Deep Learning for Water Quality Assessment and Forecasting
IEEE Access. Vol. 9. pp. 121344-121365 January 2021.
Gambin, AF, Angelats, E, Gonzalez, JS, Miozzo, M, Dini, P
10.1109/ACCESS.2021.3109216 Google Scholar
Reinforcement Learning for Delay-Constrained Energy-Aware Small Cells with Multi-Sleeping Control
Ieee International Conference On Communications Workshops. January 2020.
El Amine, Ali, Dini, Paolo, Nuaymi, Loutfi
10.1109/iccworkshops49005.2020.9145431 Google Scholar
A Softwarized Service Infrastructure for the Dynamic Orchestration of IT Resources in 5G Deployments
International Conference on Transparent Optical Networks-ICTON. Vol. 2020-July. January 2020.
Rago, Arcangela, Piro, Giuseppe, Boggia, Gennaro, Dini, Paolo
10.1109/icton51198.2020.9203757 Google Scholar
Modeling the environment in deep reinforcement learning: The case of energy harvesting base stations
International Conference on Acoustics Speech and Signal Processing ICASSP. Vol. 2020-May. pp. 8996-9000 January 2020.
Piovesan, Nicola, Miozzo, Marco, Dini, Paolo
10.1109/ICASSP40776.2020.9054646 Google Scholar
Multi-Task Learning at the Mobile Edge: An Effective Way to Combine Traffic Classification and Prediction
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. Vol. 69. No. 9. pp. 10362-10374 January 2020.
Rago, A., Piro, G., Boggia, G., Dini, P.
10.1109/TVT.2020.3005724 Google Scholar
Wake-Up Scheduling for Energy-Efficient Mobile Devices
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. Vol. 19. No. 9. pp. 6020-6036 January 2020.
Rostami, S., Trinh, H.D., Lagen, S., Costa, M., Valkama, M., Dini, P.
10.1109/TWC.2020.2999339 Google Scholar
Recurrent neural networks for handover management in next-generation self-organized networks
2020 Ieee 31st Annual International Symposium On Personal, Indoor And Mobile Radio Communications (ieee Pimrc). Vol. 2020-August. January 2020.
Ali, Z., Miozzo, M., Giupponi, L., Dini, P., Denic, S., Vassaki, S.
10.1109/PIMRC48278.2020.9217178 Google Scholar
Towards an Optimal Management of the 5G Cloud-RAN through a Spatio-Temporal Prediction of Users' Dynamics
2020 Mediterranean Communication And Computer Networking Conference, Medcomnet 2020. January 2020.
Rago, A., Ventrella, P., Piro, G., Boggia, G., Dini, P.
10.1109/MedComNet49392.2020.9191492 Google Scholar
Proactive Wake-up Scheduler based on Recurrent Neural Networks
IEEE International Conference on Communications. Vol. 2020-June. January 2020.
Rostami, S., Trinh, H.D., Lagen, S., Costa, M., Valkama, M., Dini, P.
10.1109/ICC40277.2020.9148671 Google Scholar
Coordinated Load Control of Renewable Powered Small Base Stations Through Layered Learning
IEEE Transactions on Green Communications and Networking. Vol. 4. No. 1. pp. 16-30 January 2020.
Miozzo, M., Piovesan, N., Dini, P.
10.1109/TGCN.2019.2938860 Google Scholar
Wake-Up Radio Based Access in 5G under Delay Constraints: Modeling and Optimization
IEEE TRANSACTIONS ON COMMUNICATIONS. Vol. 68. No. 2. pp. 1044-1057 January 2020.
Rostami, S., Lagen, S., Costa, M., Valkama, M., Dini, P.
10.1109/TCOMM.2019.2954389 Google Scholar
Recurrent Neural Networks for Handover Management in Next-Generation Self-Organized Networks
Ieee International Symposium On Personal Indoor And Mobile Radio Communications Workshops-Pimrc Workshops. January 2020.
Ali, Zoraze, Miozzo, Marco, Giupponi, Lorenza, Dini, Paolo, Denic, Stojan, Vassaki, Stavroula
Google Scholar
Nerve-Sparing Surgery in Advanced Stage Thymomas
ANNALS OF THORACIC SURGERY. Vol. 107. No. 3. pp. 878-884 March 2019.
Aprile, V, Bertoglio, P, Korasidis, S, Bacchin, D, Fanucchi, O, Dini, P, Ambrogi, MC, Lucchi, M
10.1016/j.athoracsur.2018.08.071 Google Scholar
Dynamic control of functional splits for energy harvesting virtual small cells: A distributed reinforcement learning approach
COMPUTER COMMUNICATIONS. Vol. 148. pp. 48-61 January 2019.
Temesgene, DA, Miozzo, M, Dini, P
10.1016/j.comcom.2019.09.002 Google Scholar
Detecting Mobile Traffic Anomalies through Physical Control Channel Fingerprinting: A Deep Semi-Supervised Approach
IEEE Access. Vol. 7. pp. 152187-152201 January 2019.
Trinh, HD, Zeydan, E, Giupponi, L, Dini, P
10.1109/ACCESS.2019.2947742 Google Scholar
Optimized wake-up scheme with bounded delay for energy-efficient MTC
2019 Ieee Global Communications Conference (globecom). January 2019.
Rostami S., Lagen S., Costa M., DIni P., Valkama M.
10.1109/GLOBECOM38437.2019.9013534 Google Scholar
Urban Anomaly Detection by processing Mobile Traffic Traces with LSTM Neural Networks
Annual IEEE International Conference on Sensing, Communication, and Networking Workshops. Vol. 2019-June. January 2019.
Trinh H.D., Giupponi L., Dini P.
10.1109/SAHCN.2019.8824981 Google Scholar
Unveiling radio resource utilization dynamics of mobile traffic through unsupervised learning
Tma 2019 - Proceedings Of The 3rd Network Traffic Measurement And Analysis Conference. pp. 209-214 January 2019.
Rago, A, Piro, G, Trinh, HD, Boggia, G, Dini, P
10.23919/TMA.2019.8784692 Google Scholar
Joint Load Control and Energy Sharing for Autonomous Operation of 5G Mobile Networks in Micro-Grids
IEEE Access. Vol. 7. pp. 31140-31150 January 2019.
Piovesan, N, Temesgene, DA, Miozzo, M, Dini, P
10.1109/ACCESS.2019.2903499 Google Scholar
Machine Learning for 5G Mobile Networks: a Pragmatic Essay on Where, How and Why
The 5G Italy Book 2019: a Multiperspective View of 5G. January 2019.
P. Dini, M. Rossi
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Layered Learning Radio Resource Management for Energy Harvesting Small Base Stations
2018 Ieee 87th Vehicular Technology Conference (vtc Spring). January 2018.
Miozzo, M, Dini, P
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Energy sustainable paradigms and methods for future mobile networks: A survey
COMPUTER COMMUNICATIONS. Vol. 119. pp. 101-117 January 2018.
Piovesan, N, Gambin, AF, Miozzo, M, Rossi, M, Dini, P
10.1016/j.comcom.2018.01.005 Google Scholar
Mobile Traffic Prediction from Raw Data Using LSTM Networks
2018 Ieee 29th Annual International Symposium On Personal, Indoor And Mobile Radio Communications (pimrc). Vol. 2018-September. pp. 1827-1832 January 2018.
Trinh, HD, Giupponi, L, Dini, P
10.1109/PIMRC.2018.8581000 Google Scholar
Unsupervised Learning of Representations from Solar Energy Data
2018 Ieee 29th Annual International Symposium On Personal, Indoor And Mobile Radio Communications (pimrc). Vol. 2018-September. January 2018.
Piovesan, N, Dini, P
10.1109/PIMRC.2018.8580891 Google Scholar
Optimal direct load control of renewable powered small cells: Performance evaluation and bounds
IEEE Wireless Communications and Networking Conference. Vol. 2018-April. pp. 1-6 January 2018.
Piovesan, N, Miozzo, M, Dini, P
10.1109/WCNC.2018.8377448 Google Scholar
Optimal direct load control of renewable powered small cells: A shortest path approach
Internet Technology Letters. Vol. 1. No. 1. January 2018.
Piovesan, N, Dini, P
10.1002/itl2.7 Google Scholar
Dynamic Functional Split Selection in Energy Harvesting Virtual Small Cells Using Temporal Difference Learning
2018 Ieee 29th Annual International Symposium On Personal, Indoor And Mobile Radio Communications (pimrc). Vol. 2018-September. pp. 1813-1819 January 2018.
Temesgene, DA, Miozzo, M, Dini, P
10.1109/PIMRC.2018.8580970 Google Scholar
Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells
Ieee Vehicular Technology Conference Proceedings. January 2018.
Temesgene, DA, Piovesan, N, Miozzo, M, Dini, P
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Layered Learning Radio Resource Management for Energy Harvesting Small Base Stations
IEEE Vehicular Technology Conference Proceedings. Vol. 2018-June. pp. 1-6 January 2018.
Miozzo M., Dini P.
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Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells
IEEE Vehicular Technology Conference Proceedings. Vol. 2018-August. January 2018.
Temesgene D.A., Piovesan N., Miozzo M., Dini P.
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Softwarization and optimization for sustainable future mobile networks: A survey
IEEE Access. Vol. 5. pp. 25421-25436 January 2017.
Temesgene, DA, Nunez-Martinez, J, Dini, P
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Analysis and modeling of mobile traffic using real traces
2017 Ieee 28th Annual International Symposium On Personal, Indoor, And Mobile Radio Communications (pimrc). Vol. 2017-October. pp. 1-6 January 2017.
Trinh H.D., Bui N., Widmer J., Giupponi L., Dini P.
10.1109/PIMRC.2017.8292200 Google Scholar
Switch-On/Off Policies for Energy Harvesting Small Cells through Distributed Q-Learning
2017 Ieee Wireless Communications And Networking Conference Workshops, Wcncw 2017. January 2017.
Miozzo M., Giupponi L., Rossi M., Dini P.
10.1109/WCNCW.2017.7919075 Google Scholar
Switch-On/Off Policies for Energy Harvesting Small Cells through Distributed Q-Learning
Ieee Wireless Communications And Networking Conference Workshops. January 2017.
Miozzo, M, Giupponi, L, Rossi, M, Dini, P
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Fuzzy multiple criteria switch off method for dense heterogeneous networks
2015 Ieee 20th International Workshop On Computer Aided Modelling And Design Of Communication Links And Networks (camad). pp. 211-215 January 2016.
Dudnikova A., Dini P., Giupponi L., Panno D.
10.1109/CAMAD.2015.7390511 Google Scholar
Backhaul routing and base station sleep mode engagement in energy harvesting cellular networks
Mswim 2016 - Proceedings Of The 19th Acm International Conference On Modeling, Analysis And Simulation Of Wireless And Mobile Systems. pp. 186-189 January 2016.
Baranda J., Miozzo M., Dini P., Núñez-Martínez J., Mangues-Bafalluy J.
10.1145/2988287.2989175 Google Scholar
When Telecommunication Networks Meet Energy Grids: Cellular Networks with Energy Harvesting and Trading Capabilities
IEEE COMMUNICATIONS MAGAZINE. Vol. 53. No. 6. pp. 117-123 June 2015.
D. Zordan, M. Miozzo, P. Dini, M. Rossi
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When telecommunications networks meet energy grids: Cellular networks with energy harvesting and trading capabilities
IEEE COMMUNICATIONS MAGAZINE. Vol. 53. No. 6. pp. 117-123 January 2015.
Zordan, D, Miozzo, M, Dini, P, Rossi, M
10.1109/MCOM.2015.7120026 Google Scholar
Multi-criteria decision for small cell switch off in ultra-dense LTE networks
Proceedings Of The 13th International Conference On Telecommunications Contel 2015. January 2015.
Dudnikova, A, Dini, P, Giupponi, L, Panno, D
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Distributed Q-Learning for Energy Harvesting Heterogeneous Networks
Ieee International Conference On Communications Workshops. pp. 2006-2011 January 2015.
Miozzo, M, Giupponi, L, Rossi, M, Dini, P
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Distributed Q-learning for energy harvesting Heterogeneous Networks
2015 Ieee International Conference On Communication Workshop (iccw). pp. 2006-2011 January 2015.
Miozzo M., Giupponi L., Rossi M., Dini P.
10.1109/ICCW.2015.7247475 Google Scholar
Fuzzy Multiple Criteria Switch Off Method for Dense Heterogeneous Networks
2015 Ieee 20th International Workshop On Computer Aided Modelling And Design Of Communication Links And Networks (camad). pp. 211-215 January 2015.
Dudnikova, A, Dini, P, Giupponi, L, Panno, D
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An overlay and distributed approach to node mobility in multi-access wireless networks
WIRELESS NETWORKS. Vol. 20. No. 6. pp. 1275-1293 January 2014.
Dini, P, Guerrero, JN, Baldo, N
10.1007/s11276-013-0675-9 Google Scholar
SolarStat: Modeling Photovoltaic Sources through Stochastic Markov Processes
Ieee International Energy Conference. pp. 688-695 January 2014.
Miozzo, M, Zordan, D, Dini, P, Rossi, M
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A testbed for Fixed Mobile Convergence experimentation: ADRENALINE-LENA integration
20th European Wireless Conference, Ew 2014. pp. 431-436 January 2014.
Baldo N., Martínez R., Dini P., Vilalta R., Miozzo M., Casellas R., Muñoz R.
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SolarStat: Modeling photovoltaic sources through stochastic Markov processes
2014 Ieee International Energy Conference (energycon 2014). pp. 688-695 January 2014.
Miozzo M., Zordan D., Dini P., Rossi M.
10.1109/ENERGYCON.2014.6850501 Google Scholar
Inter-Packet Encoding to Minimize Data Block Transfer Delay in Multipath Communications
2013 Ieee Wireless Communications And Networking Conference (wcnc). pp. 2202-2207 January 2013.
Dini, P, Nin-Guerrero, J, Baldo, N, Addeppalli, S
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HetNets Powered by Renewable Energy Sources Sustainable Next-Generation Cellular Networks
IEEE INTERNET COMPUTING. Vol. 17. No. 1. pp. 32-39 January 2013.
Piro, G, Miozzo, M, Forte, G, Baldo, N, Grieco, LA, Boggia, G, Dini, P
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A model to analyze the energy savings of base station sleep mode in LTE HetNets
Proceedings - 2013 Ieee International Conference On Green Computing And Communications And Ieee Internet Of Things And Ieee Cyber, Physical And Social Computing, Greencom-Ithings-Cpscom 2013. pp. 1375-1380 January 2013.
Dini P., Miozzo M., Bui N., Baldo N.
10.1109/GreenCom-iThings-CPSCom.2013.240 Google Scholar
Inter-packet encoding to minimize data block transfer delay in multipath communications
IEEE Wireless Communications and Networking Conference. pp. 2202-2207 January 2013.
Dini P., Nin-Guerrero J., Baldo N., Addeppalli S.
10.1109/WCNC.2013.6554903 Google Scholar
A Neural Network Based Cognitive Engine for IEEE 802.11 WLAN Access Point Selection
2012 Ieee Consumer Communications And Networking Conference (ccnc). pp. 864-868 January 2012.
Bojovic, B, Baldo, N, Dini, P
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A cognitive scheme for radio admission control in LTE systems
2012 3rd International Workshop On Cognitive Information Processing, Cip 2012. January 2012.
Bojovic B., Baldo N., Dini P.
10.1109/CIP.2012.6232936 Google Scholar
A supervised learning approach to Cognitive Access Point Selection
Ieee Globecom Workshops. pp. 1100-1105 January 2011.
Bojovic, B, Baldo, N, Nin-Guerrero, J, Dini, P
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A supervised learning approach to cognitive access point selection
2011 Ieee Globecom Workshops (gc Wkshps). pp. 1100-1105 January 2011.
Bojovic B., Baldo N., Nin-Guerrero J., Dini P.
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Small cells, wireless backhaul and renewable energy: A solution for disaster aftermath communications
Acm International Conference Proceeding Series. January 2011.
Baldo N., Dini P., Mangues-Bafalluy J., Miozzo M., Núñez-Martínez J.
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Experimental Characterization of VoIP Traffic over IEEE 802.11 Wireless LANs
VoIP Technologies. January 2011.
P. Dini, M. Portolés, J. Nin, J. Mangues
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User-driven call Admission Control for VoIP over WLAN with a Neural Network based cognitive engine
2010 2nd International Workshop On Cognitive Information Processing, Cip2010. pp. 52-56 January 2010.
Baldo N., Dini P., Nin-Guerrero J.
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Distributed call admission control for VoIP over 802.11 WLANs based on channel load estimation
Conference Record - International Conference on Communications. January 2010.
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