GAIN (Green, Adaptive, and Intelligent Networking) is a research group inside the Communication Networks Laboratory (CNL) of the University of Athens, focusing on adaptive networks exploiting intelligent mechanisms towards a more energy-efficient, environment-friendly operation.

About GAIN

With the current tendencies in developing and deploying new network systems and under continuous changes of system and user requirements, adaptability has become a key target in modern networking. This target asks for intelligent mechanisms to monitor, predict, and usually pro-act, to adjust system parameters and optimize operation. These are often accompanied by cross-layer techniques that violate the traditional layered-based protocol stack to coordinate different layers and provide for the required flexibility. Finally, energy efficiency has become a major objective nowadays, leading to what is referred to as green networking research, that can be better supported through adaptive techniques and intelligent solutions.

The Group Members​

Faculty members:

Lazaros Merakos

P. Takis Mathiopoulos

Elias S. Manolakos

 

Senior researchers(PhD)

Nikos Passas

Dimitris Tsolkas

Dionysis Xenakis

Eirini Liotou

Researchers

Anastasia Tsiota

Subin Narayanan

Tadege Mihretu-Ayenew

Co-operating faculty members

Christos Xenakis

R&D Areas

  • Adaptive network architectures and systems

  • Cross-layer techniques

  • Energy efficiency and energy saving

  • Energy-efficient mobility

  • Flexible resource allocation

  • Cognitive networks

  • Wireless sensor networks

  • Intelligent security

  • Smart grid technologies

  • Quality of Experience support

  • Interference management

  • Device-to-device communications

Projects

CASPER:

User-centric Middleware Architecture for Advanced Service Provisioning in Future Networks.

SMART-NRG:

Design and implementation of an efficient, reliable and secure smart energy network. 

CROSSFIRE:

Uncoordinated network strategies in LTE-Advanced networks.

PeerAssist:

 A P2P platform supporting virtual communities to assist independent living of senior citizens.

SPOTLIGHT:

A European training network for beyond 2020 mobile data networks  

CityZEN:

Innovative approaches to the Ιnternet of Things 

RE-CENT:

Integrated network REsource sharing service for user-CENTric digital content delivery in 5G mobile data networks 

SEMANTIC:

End-to-end Slicing and data-drivEn autoMAtion of Next generation cellular neTworks with mobIle edge Clouds 

OPTIMIST:

OPTIMised video content delivery chains leveraging data analysis over joint multI-accesS edge computing and 5G radio network infrasTructures 

Recent Publications

- D Xenakis, N Passas, L Merakos, and C Verikoukis, “ Advanced Mobility Management for Reduced Interference and Energy Consumption in the Two-tier LTE-Advanced Network”, Elsevier Computer Networks (COMNET) Journal, vol. 76, pp. 90–111, Jan 2015.

- E Liotou, D Tsolkas, N Passas, and L Merakos, “Towards QoE Provisioning in Next Generation Cellular Networks”, IEEE COMSOC MMTC E-Letter, vol. 10, issue 3, May 2015.

- E Liotou, N Passas, and L Merakos, “Quality of experience management in mobile cellular networks: key issues and design challenges”, IEEE Communications Magazine, vol. 53, issue 7, July 2015.

- D Tsolkas, N Passas, and L Merakos, “Enabling Device Discovery Transmissions in LTE Networks with Fractional Frequency Reuse”, Elsevier Computer Networks (COMNET) Journal, vol. 88, pp. 149-160, Sept. 2015.

- D Xenakis, L Merakos, M Kountouris, N Passas, and C Verikoukis, “ Distance Distributions and Proximity Estimation given Knowledge of the Heterogeneous Network Layout”, IEEE Transactions on Wireless Communications, vol. 14, issue 10, Oct. 2015.

- E Liotou, H Elshaer, R Schatz, R Irmer, M Dohler, N Passas, and L Merakos, “ Shaping QoE in the 5G ecosystem”, The 6th IEEE International Workshop on Quality of Multimedia Experience (IEEE QoMEX) 2014 , Costa Navarino, Greece, May 2015.

- D Tsolkas, E Liotou, N Passas, and L Merakos, “ Addressing traffic demanding scenarios in cellular networks through QoE-based rate adaptation”, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC) 2015 , Hong Kong, China, August-September 2015.

- D Xenakis, M Kountouris, L Merakos, N Passas, and C Verikoukis, “On the Performance of Network-Assisted Device-to-Device Discovery”, IEEE Global Communications Conference (IEEE GLOBECOM) 2015 , San Diego, USA, December 2015.

- D Xenakis, N Passas, L Merakos, and C Verikoukis, “Handover Decision for Small Cells: Algorithms, Lessons Learned and Simulation Study”, Elsevier Computer Networks (COMNET), Computer Networks, Elsevier, Vol. 100, pp 64-74, May 2016.

- D Xenakis, N Passas, L Merakos, and C Verikoukis, “ANDSF-Assisted Vertical Handover Decisions in the IEEE 802.11/LTE-Advanced Network”, Elsevier Computer Networks (COMNET) Journal, vol. 106, September 2016.

- D Xenakis, M Kountouris, L Merakos, N Passas, and C Verikoukis, “Performance Analysis of Network-Assisted D2D Discovery in Random Spatial Networks”, IEEE Transactions on Wireless Communications, vol. 15, no. 8, August 2016.

- D Tsolkas, N Passas, and L Merakos, “Device discovery in LTE networks: A radio access perspective”, Elsevier Computer Networks (COMNET) Journal, vol. 106, September 2016.

- E Liotou, T Hossfeld, C Moldovan, F Metzger, D Tsolkas, and N Passas, “Enriching HTTP adaptive streaming with context awareness: A tunnel case study”, IEEE International Conference on Communications (IEEE ICC) 2016 , Kuala Lumpur, Malaysia, May 2016.

- E Liotou, D Tsolkas, and N Passas, “A roadmap on QoE metrics and models”, 23rd International Conference on Telecommunications (ICT) , Thessaloniki, Greece, May 2016.

- D Tsolkas, and N Passas, “Compensating Multiuser Synchronization Errors in 5G Communications: The Radio Resource Overhead”, 21st IEEE Symposium on Computers and Communications (IEEE ISCC) , Messina, Italy, June 2016.

- E Liotou, D Tsolkas, K Samdanis, N Passas, and L Merakos, “Towards Quality of Experience Management in the Next Generation of Mobile Networks”, European Conference on Networks and Communications (EuCNC) 2016, Athens, Greece, June 2016.

- S Tennina, D Xenakis, M Boschi, A Colarieti, N Passas, D Tsolkas, “A System Level Simulator for Reliable Smart Energy Networks”, IEICE Information and Communication Technology Forum (ICTF) 2016, Patras, Greece, July 2016.

- A Tsiota, D Xenakis, N Passas, L Merakos, “Jamming and Black Hole Attacks in the Smart Grid with Perfect Detection of Malicious Nodes”, IEICE Information and Communication Technology Forum (ICTF) 2016, Patras, Greece, July 2016.

- D Tsolkas, N Passas, and L Merakos, “ProVa: A Proximity Validation Approach For Enhanced Device Discovery”, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC) 2016, Valencia, Spain, September 2016.

- E Liotou, R Schatz, A Sackl, P Casas, D Tsolkas, N Passas, and L Merakos, “The Beauty of Consistency in Radio-Scheduling Decisions”, IEEE Global Communications Conference (IEEE GLOBECOM) 2016, Washington, DC USA, December 2016.

- D Tsolkas, N Passas, D Petrov and M Pischella, “Multi-User PHY-MAC Interaction for FBMC””, book chapter in “Orthogonal Waveforms and Filter Banks for Future Communication Systems", Elsevier Academic Press, editors: Markku Renfors Xavier Mestre, Eleftherios Kofidis, Faouzi Bader, ISBN: 9780128103845, 2017

- D Tsolkas, E Liotou, N Passas, and L Merakos, “A Survey on Parametric QoE Estimation for Popular Services”, Elsevier Journal of Network and Computer Applications (JNCA), vol. 77, January 2017.

- M Jiang, D Xenakis, S Costanzo, N Passas, and T Mahmoodi, “Radio Resource Sharing as a Service in 5G: A Software-defined Networking Approach”, Elsevier Computer Communications (COMCOM) Journal, vol. 107, July 2017.

- S Costanzo, D Xenakis, N Passas and L Merakos, “Augmented RAN with SDN Orchestration of Multi-tenant Base Stations”, Springer Wireless Personal Communications Journal, vol. 96, issue 2, September 2017.

- P -V Mekikis, A Antonopoulos, E Kartsakli, N Passas, L Alonso, and C Verikoukis, “Stochastic Modeling of Wireless Charged Wearables for Reliable Health Monitoring in Hospital Environments”, IEEE International Conference on Communications (IEEE ICC) 2017, Paris, France, May 2017.

- M -E Xezonaki, E Liotou, N Passas and L Merakos, “An SDN QoE Monitoring Framework for VoIP and video applications”, IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (IEEE WoWMoM) 2018, Chania, Greece, June 2018.

- S Narayanan, D Tsolkas, N Passas and L Merakos, “NB-IoT: A Candidate Technology for Massive IoT in the 5G Era”, IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (IEEE CAMAD) 2018, Barcelona, Spain, September 2018.

- E Liotou, K Samdanis, E Pateromichelakis, N Passas and L Merakos, “QoE-SDN APP: A Rate-guided QoE-aware SDN-APP for HTTP Adaptive Video Streaming”, IEEE Journal on Selected Areas in Communications, vol. 36, issue 3, March 2018.

- E Liotou, D Tsolkas, S Tennina, L Pomante, G Kalpaktsoglou, and N Passas, “The CASPER project approach towards user-centric mobile networks”, Euromicro Digital System Design Conference 2019, Chalkidiki, Greece, August 2019.

- S Narayanan, D Tsolkas, N Passas, and L Merakos, “Performance Analysis of NB-IoT Random Access Channel”, International Conference on Interactive Mobile Communication, Technologies and Learning (IMCL) 2019, Thessaloniki, Greece, October 2019.

- T Ayenew, D Xenakis, N Passas and L Merakos, “Dynamic Programming Based Content Placement Strategy for 5G and Beyond Cellular Networks”, IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (IEEE CAMAD) 2018, Barcelona, Spain, September 2018.

- A Tsiota, D Xenakis, N Passas, and L Merakos, “Multi-tier and multi-band heterogeneous wireless networks with black hole attacks”, IEEE Global Communications Conference (IEEE GLOBECOM) 2019, Waikoloa, Hawaii, USA, December 2019.

- A Tsiota, D Xenakis, N Passas, and L Merakos, “On Jamming and Black Hole Attacks in Heterogeneous Wireless Networks”, IEEE Transactions on Vehicular Technology, vol. 68, issue 11, August 2019.

- D Xenakis, I Zarifis, P Petrogiannakis, A Tsiota, and N Passas, “Blockchain-driven mobile data access towards fully decentralized mobile video trading in 5G networks”, IEEE International Conference on Communications (IEEE ICC) 2020, Dublin, Ireland, June 2020.

- E Datsika, A Antonopoulos, N Passas, G Kormentzas, and C Verikoukis, “Green Resource Management for Over-The-Top Services in 5G Networks using Matching Theory”, IEEE International Conference on Communications (IEEE ICC) 2018, Kansas City, USA, May 2018.

- Z Vujicic, J Rodriguez, N Passas, R Iqbal, T Maniak, E Datsika, J Vardakas, C Karyotis, S A Busari, and C Verikoukis, “EXPLOR–A Novel Holistic Numerical Platform for Converged Optical-Wireless B5G Networks”, IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (IEEE CAMAD) 2020, Virtual Conference, September 2020.

- A -S Charismiadis, D Tsolkas, N Passas, and L Merakos, “A metaheuristic approach for minimizing service creation time in slice-enabled networks”, IEEE International Conference on Communications (IEEE ICC) 2020, Dublin, Ireland, June 2020.

- S Narayanan, D Tsolkas, N Passas, and L Merakos, “ADAM: An Adaptive Access Mechanism for NB-IoT Systems in the 5G Era”, IEEE Access Journal, vol. 9, August 2021.

- E Liotou, D Tsolkas, G Kalpaktsoglou, S Tennina, L Pomante, and N Passas, “The CASPER user-centric approach for advanced service provisioning in mobile networks”, Elsevier Microprocessors and Microsystems Journal, vol. 77, September 2020.

- E Liotou, A Alexiou, N Passas, and L Merakos, “QoE-centric implementation of SDN platform for Open-Flow-based network path selection”, IEEE International Mediterranean Conference on Communications and Networking (IEEE MeditCom) 2021, Hybrid Conference, September 2021.

- D Xenakis, A Tsiota, C Koulis, C Xenakis, and N Passas, “Contract-less Mobile Data Access Beyond 5G: Fully-decentralized, high-throughput and anonymous asset trading over the Blockchain”, IEEE Access Journal, vol. 9, May 2021.

- T Ayenew, D Xenakis, N Passas, and L Merakos, “Cooperative Content Caching in MEC-enabled Heterogeneous Cellular Networks”, IEEE Access Journal, vol. 9, July 2021.

2 J Rodriguez, C Verikoukis, J Vardakas, and N Passas, editors, “ Enabling 6G Mobile Networks , Springer, ISBN: 978-3-030-74648-3, September 2021.

- T M Ayenew, D Xenakis, N Passas, and L Merakos, “A Novel Content Placement Strategy for Heterogeneous Cellular Networks with Small Cells”, IEEE Networking Letters, vol. 2, issue 1, March 2020.

- S Narayanan, O Liberg, A Hïglund, D Tsolkas, N Passas, and L Merakos, “Sidelink optimizations for layer-3 based IoT Relaying in 5G NR”, IEEE Internet of Things Magazine, vol. 5, issue 2, June 2022.

- E Liotou, K Chatzieleftheriou, G Christopdoulou, N Passas, and L Merakos, “Emulation of HTTP Adaptive Video Streaming over SDN”, IEEE International Mediterranean Conference on Communications and Networking (IEEE MeditCom) 2021, Hybrid Conference, September 2021.

- D Xenakis, A Tsiota, and N Passas, “Admission control and end-to-end slicing for video streaming in MEC-empowered cellular networks”, IEEE Global Communications Conference (IEEE GLOBECOM) 2022, Rio de Janeiro, Brazil, December 2022.

- T Ayenew, D Xenakis, L Alonso, N Passas, and L Merakos, “Demand-aware Cooperative Content Caching in 5G/6G Networks with MEC-enabled Edges”, IEEE Networking Letters, vol. 4, no. 3, September 2022.

- S -A Charismiadis, D Tsolkas, N Passas, D Xenakis, and L Merakos, “Metaheuristics as enablers for VNF scheduling in the Network Slice set up process”, Journal of Communications and Networks, vol. 24, issue 6, December 2022.

- C Milarokostas, D Tsolkas, N Passas, and L Merakos, “A Comprehensive Study on LPWANs With a Focus on the Potential of LoRa/LoRaWAN Systems”, IEEE Communications Surveys and Tutorials, vol. 25, issue 1, 1st quarter 2023.

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Contact

 

Dr. Nikos Passas

Dept. of Informatics and Telecommunications
University of Athens
Panepistimiopolis, Ilisia
15784, Athens – Greece

Tel: +30 210 7275651
Fax: +30 210 7275601
email:passas@di.uoa.gr

Short CV

Lazaros Merakos received the Diploma in Electrical and Mechanical Engineering from the National Technical University of Athens, Athens, Greece, in 1978, and the M.S. and Ph.D. degrees in Electrical Engineering from the State University of New York, Buffalo, in 1981 and 1984, respectively. From 1983 to 1986, he was on the faculty of the Electrical Engineering and Computer Science Department, University of Connecticut, Storrs. From 1986 to 1994, he was on the faculty of the Electrical and Computer Engineering Department, Northeastern University, Boston, MA. During the period 1993–1994, he served as Director of the Communications and Digital Processing Research Center, Northeastern University. During the summers of 1990 and 1991, he was a Visiting Scientist at the IBM T. J. Watson Research Center, Yorktown Heights, NY. In 1994, he joined the faculty of the University of Athens, Athens, Greece, where he is presently a Professor in the Department of Informatics and Telecommunications, and Scientific Director of the Networks Operations and Management Center.

His research interests are in the design and performance analysis of communication networks, and wireless/mobile communication systems and services. He has authored more than 200 papers in the above areas. He has served as the scientific director of the Communication Networks Laboratory of the University of Athens in numerous research projects, including the projects RAINBOW, WAND, MOBIVAS, WINE, EURO-CITI, POLOS, ANWIRE, E2R, E2RII, E3, Self-NET funded by the European Union. Dr. Merakos is chairman of the board of the Greek Schools Network, and member of the board of the National Research Network of Greece. In 1994, he received the Guanella Award for the Best Paper presented at the International Zurich Seminar on Mobile Communications.

Photo of Lazaros Merakos

Web Page

http://cnl.di.uoa.gr/merakos

Contact Info

Phone: +30 210 7275323
Fax: +30 210 727 5601
Email: merakos@di.uoa.gr

Short CV

P. Takis Mathiopoulos has been recently elected Professor of Digital Communications in the Department of Informatics and Telecommunications, University of Athens where is has been teaching part-time since 2003. He obtained his Diploma in Electrical Engineering from the University of Patras and M.Eng. degree with specialization in Microwaves from Carleton University, and the Ph.D. degree in digital communications from the University of Ottawa, Canada, in 1989. From 1982 - 1986, he was with Raytheon Canada Ltd., working in the areas of air navigational and satellite communications. In 1989, he joined the Department of Electrical and Computer Engineering (ECE), University of British Columbia (UBC), Canada, where he was a faculty member for 13 years, and from 2000 – 2003 he was holding the rank of Professor. He is currently Director of Research at the Institute for Space Applications and Remote Sensing (ISARS), National Observatory of Athens (NOA), where he established and directed the Wireless Communications Research Group. As ISARS' Director, he has led the Institute to a significant expansion R&D growth, and international scientific recognition. For these achievements, ISARS has been selected as a national Centre of Excellence for the years 2005 to 2008. Since 2003 he also teaches part-time at the Department of Informatics and Telecommunications, University of Athens. In 2008 and for a period of 5 years he was appointed Guest Professor at the Southwest Jiaotong University, China.

For the last 20 years he has been conducting research mainly on the physical layer of digital communication systems for terrestrial and satellite applications, including digital communications over fading and interference environments. He is also interested in channel characterization and measurements, modulation and coding techniques, network coding, cooperative communications, SIMO/MIMO, UWB, OFDM, and software/cognitive radios. In these areas, he has co-authored more than 80 journal papers, mostly published in IEEE journals, 4 book chapters and some 110 conference papers. He has supervised the thesis of 10 PhD students and more then 15 postdoctoral fellows, many of whom hold faculty positions in Canadian, USA and Greek Universities. His research has been funded by Canadian, European and Greek funding agencies as he has been the PI of more than 40 research grants.

He co-authored a paper in GLOBECOM'89 establishing for the first time in the open technical literature the link between MLSE and multiple (or multi-symbol) differential detection for the AWGN and fading channels. In September 2005, this contribution has been acknowledged by the Editors of IEEE Journal of Selected Areas in Communications as a breakthrough and a seminal paper which has been selected as one of the four most influential papers of the last 40 years in the field of noncoherent detection. He has received numerous awards, including an ASI Fellowship, a Killam Research Fellowship and a best paper award from the 2008 International Conference on Communication, Control, and Signal Processing.

Dr. Mathiopoulos has been or currently serves on the editorial board of several scientific journals, including the IET Communications, and the IEEE TRANSACTIONS ON COMMUNICATIONS (1993 -2005). He has regularly acted as a Consultant for various governmental and private organizations. Since 1993, he has served on a regular basis as a scientific advisor and a technical expert for the European Commission (EC). He has been a member of the TPC of more than 50 international conferences, as well as the Vice Chair for the Spring 2006-S IEEE VTC and the 2008-F IEEE VTC. He has delivered numerous invited presentations, including plenary lectures, and has taught many short courses all over the world.

Default Male

Web Page

http://www.space.noa.gr/~mathio/

Contact Info

Phone: +30 210 8109181
Fax: +30 210 6138343
Email: mathio@space.noa.gr

Short CV

Elias S. Manolakos received the Diploma in Electrical Engineering from the National Technical University of Athens, the M.Sc. degree in Electrical Engineering from the University of Michigan, Ann Arbor, USA, and a Ph.D. in Computer Engineering from the University of Southern California, Los Angeles, USA. He is currently an Assoc. Professor with the Department of Informatics and Telecommunications, University of Athens, where he is also the Director of the multi-disciplinary graduate program “Information Technologies in Medicine and Biology”. Before returning to Greece (2004) he has been an Assistant and then Associate Professor (with tenure) at Northeastern University, Boston, USA where for three years (1996-1999) he also served as the Director of the internationally known “Communications and Digital Signal Processing (CDSP), Center for Research and Graduate Studies”.

Dr. Manolakos research interests include parallel and distributed DSP, embedded systems, machine learning, predictive modelling and their applications in network computing, sensor networks, computational biology and  ecological systems modeling. He has authored, or co-authored with his students, more than 120 articles in international journals and refereed Conference proceedings. Elias has received the prestigious NSF Research Initiation Award (1992) and has led or played a leadership role in more than 20 research projects supported by funding agencies in the U.S. (NSF, EPA, DARPA, etc.), EU (FP6, FP7, AAL) and Greece (GSRT).

Dr. Elias S. Manolakos has been elected and served for two consecutive three-year terms in the International Technical Committees IEEE Design and Implementation of Signal Processing Systems (IEEE-DISPS) and IEEE Machine Learning for Signal Processing (IEEE-MLSP). He is currently serving in the Advisory Board of both these committees. Elias has been an Editorial Board member (Associate Editor) of several prestigious scientific journals (IEEE Transactions on Signal Processing, IEEE Transactions on Neural Networks, IEEE Signal Processing Letters, IEEE Computing in Science and Engineering, Journal of Signal Processing Systems, Springer etc.) and the Chair of the Technical Program and/or organizing committees of several IEEE Conferences and Workshops. Dr. Elias S. Manolakos is an IEEE Senior Member (elected in 1995).

Elias Manolakos

Web Page

http://gr.linkedin.com/in/eliasmanolakos

Contact Info

Phone: +30-210-7275312
Fax: +30-210-7275214
Email: eliasm [AT] di.uoa.gr

Short CV

Dr. Passas received his Diploma (honors) from the Department of Computer Engineering, University of Patras, Greece, and his Ph.D. degree from the Department of Informatics and Telecommunications, University of Athens, Greece, in 1992 and 1997, respectively. From 1992 to 1995 he was a research engineer at the Greek National Research Center "Demokritos". Since 1995, he has been with the Communication Networks Laboratory of the University of Athens, working as a sessional lecturer and senior researcher in a number of national and European research projects. He has also served as a guest editor and technical program committee member in prestigious magazines and conferences, such as IEEE Wireless Communications Magazine, Wireless Communications and Mobile Computing Journal, IEEE Vehicular Technology Conference, IEEE PIMRC, IEEE Globecom, etc. Dr. Passas has published more than 100 papers in peer-reviewed journals and international conferences and has also published 1 book and 10 book chapters. His research interests are in the area of mobile network architectures and protocols. He is particularly interested in QoS for wireless networks, medium access control, and mobility management. Dr. Passas is a member of the IEEE and a member of the Technical Chamber of Greece.Αποτέλεσμα εικόνας για nikos passas uoa

Web Page

http://www.di.uoa.gr/~passas

Contact Info

Phone: +30 210 727 5651
Fax: +30 210 727 5601
Email: passas@di.uoa.gr

Short CV

Dimitris Tsolkas received the B.S. degree in Informatics and Telecommunications and the M.S. degree in Communications Systems and Networks from the Department of Informatics and Telecommunications, University of Athens, Greece, in 2007 and 2009, respectively. In 2014 he received his Ph.D. degree from the same department. Currently, he works as a researcher in the Green, Adaptive and Intelligent Networking Group within the Communication Networks Laboratory of the Dept. of Informatics and Telecommunications. His research interests include resource and interference management in wireless heterogeneous networks, Device-to-Device (D2D) communications, and Quality of Experience (QoE) provisioning.

Photo of Dimitris Tsolkas

Web Page

www.di.uoa.gr/~dtsolkas

Contact Info

Phone: +30 210 7275143
Email: dtsolkas@di.uoa.gr

Short CV

Dionysis Xenakis received his B.Sc. degree in Computer Science in 2007, his M.Sc. degree in Communications Systems and Networks in 2009, while he is currently pursuing his Ph.D. degree at the Department of Informatics and Telecommunications - University of Athens, Greece. In 2008, he received the M.Sc. Excellence Award in the field of Networks and Communication Systems from the same department. His current research interests include Cross-Layer Optimization, Resource Management in Multi-User Multi-Carrier Networks, Cognitive Radio Networks and Green Communications.

Dionysis is currently an IEEE student member, member of the Communication Network Laboratory / University of Athens - Greece and member of the Green Adaptive and Intelligent Networking Group / University of Athens - Greece.

Photo of Dionysis Xenakis

Web Page

http://cgi.di.uoa.gr/~nio/

Contact Info

Phone: +30 210 727 5158
Email: nio@di.uoa.gr

Eirini Liotou

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Short CV

Eirini Liotou holds a PhD degree from the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens (NKUA) since 2017. She obtained the MSc in Informatics & Telecommunications from NKUA, where she was ranked first in her graduating class, and the MSc in Communications & Signal Processing from the Imperial College of London. She received the Diploma in Electrical & Computer Engineering from the National Technical University of Athens in 2006. She has work experience as a Software Engineer in Siemens AG where she worked in the R&D department for the SME business sector. During her PhD she has visited Vodafone R&D Technology, UK, and the University of Duisburg-Essen. She has participated in various EU projects (CROSSFIRE, SMART-NRG, CASPER, etc.) and COST actions (QUALINET, ACROSS, etc.). Her main research interests include QoE modeling, QoE management, HTTP Adaptive Streaming, and SDN in 5G networks. She speaks Greek, English, German and Spanish. Currently, she is working as a Post-Doc researcher in the Green, Adaptive and Intelligent Networking Group within the Communication Networks Laboratory of the Department of Informatics & Telecommunications in NKUA.

Publications list:

https://www.researchgate.net/profile/Eirini_Liotou/

 

 

Contact Info

Phone: +30 2107275158
Email: eliotou@di.uoa.gr

 

Short CV

Dr. Christos Xenakis received his B.Sc degree in computer science in 1993 and his M.Sc degree in telecommunication and computer networks in 1996, both from the Department of Informatics and Telecommunications, University of Athens, Greece. In 2004 he received his Ph.D. from the University of Athens (Department of Informatics and Telecommunications). From 1998 – 2001 he was with a Greek telecoms system development firm, where he was involved in the design and development of advanced telecommunications subsystems. From 1996 – 2007 he was a member of the Communication Networks Laboratory of the University of Athens. Since 2007 he is a faculty member of the Department of Digital Systems of the University of Piraeus, Greece, where currently is an Assistant Professor and member of the System Security Laboratory. He has participated in numerous projects realized in the context of EU Programs (ACTS, ESPRIT, IST, AAL) as well as National Programs (Greek) and his research interests are in the field of systems, networks and applications security.Photo of Christos Xenakis

Web Page

http://www.di.uoa.gr/~xenakis

Contact Info

Phone: +30 210 7275418
Fax: +30 210 7275601
Email: xenakis@di.uoa.gr

Framework

European Commission Horizon 2020 - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)

Duration

2016-2019

Budget

€ 1,020,000

Short Description

The current paradigm in service provisioning to future communication networks lacks thorough end-to-end interpretation from the quality viewpoint, while the end-users’/customers’ profiles and preferences are mostly not taken into account. The subjective perception of a provided service, known as Quality of Experience (QoE), is one of the most important factors for a user’s decision on retaining the service or giving it up, and the key parameter for enabling advanced customer experience management (CEM). The main objective of CASPER is to combine academic and industrial forces towards leveraging the expected benefits of QoE exploitation in future networks. In particular, CASPER will exploit the most recent approaches in communication networks, such as the Software Defined Networking (SDN) and the Network Functions Virtualisation (NFV), to design and implement a middleware architecture for QoE-driven service provisioning. The architecture will consist of three interlinked modules, one-to-one mapped to the three instrumental functionalities required for the beneficial exploitation of QoE: i) reliable, secure and passive QoE monitoring, ii) efficient, dynamic and objective QoE estimation, and iii) robust and real-time QoE-driven service management. The three modules will be optimised and released as an integrated solution, in order to accelerate the adoption of QoE-driven network service management. The cornerstone of this effort will be a carefully-planned inter-sectorial secondment programme for Experienced Researchers (ERs) and Early Stage Researchers (ESRs). Under this programme, CASPER is expected to foster the exchange of knowledge and strengthen the collaboration among academia and industry through a bidirectional knowledge-sharing approach, where the academic beneficiaries will contribute by conveying their knowledge in QoE analysis and modelling, while industrial beneficiaries will provide their expertise in service development and software implementation.

Framework

European Commission Seven Framework Programme (FP7) - Marie Curie Industry-Academia Partnerships and Pathways

Duration

2014-2018

Budget

€ 2,644,518.80

Short Description

Smart energy networks (SENs) are electric systems that use two-way networking technologies, cyber-secure communications technologies, and computational intelligence and control in an integrated fashion to efficiently manage energy consumption with the aim of providing a new electricity grid that is clean, safe, secure, reliable, resilient, efficient, and environmentally sustainable. SENs can be well regarded as a system of many systems, whose design challenges, requirements, and expectations can only be achieved through a holistic analysis, design, and optimization of all its components. In SMART-NRG, we will go beyond state-of-the-art approaches for SENs by introducing an innovative and integrated protocol stack, which will be made of three interlinked and optimized sub-systems: i) reliable communications and networking; ii) smart energy management; and iii) security and protection, which are one-to-one connected to the three key functionalities of SENs. The sub-systems will be studied, optimized, and integrated in a very efficient protocol stack, which will be tested via system level simulations and hardware testbeds, and, eventually, will be integrated into commercial devices.

Framework

European Commission Seven Framework Programme (FP7) - Marie Curie Initial Training Networks

Duration

2012-2016

Budget

€ 3,439,000

Short Description

The aim of the CROSSIRE project is to provide forward-looking solutions for Long-Term Evolution-Advanced (LTE-A) network co-existence including aspects ranging from the physical layer such as co-channel interference and cognition to the user perception of the service, i.e., Quality of Experience (QoE). The project will analyze and propose network virtualization solutions for LTE-A networks a technology which is envisioned to transform operation of cellular networks in the years to come. The project will approach the emerging LTE-A networks which will be populated by uncoordinated and vast number of small cells (micro, pico and femtocells) from an architectural and a component level perspective. We primary aim to provide a holistic understanding on issues such as co-channel interference from randomly located small-cells (unplanned deployment), efficient utilization of the scarce spectrum (via cognition), self-organization (SONs) and QoE at the end users under the assumption that LTE-A networks share a common physical infrastructure. The developed architectures, protocols and techniques will be evaluated through system level simulations and theoretical analysis. A meaningful subset of them will be evaluated through hardware proof-of-concept prototyping.

Framework

Ambient Assisted Living (AAL) Joint Programme, Call 2

Duration

30 months, starting on September 1st, 2010

Budget

€ 2,147,151.35

Short Description

The main scope of the PeerAssist project is the conceptualisation, design, implementation and demonstration of a flexible Peer-to-Peer (P2P) platform, which will allow elderly people (not necessarily familiar with ICT technologies) to build virtual communities dynamically based on interests and needs they share. The PeerAssist platform will facilitate establishing on demand ad-hoc communities with friends, family, neighbours, caregivers, facilitators, care providers, etc., based on shared interests and communication needs. The community building and the P2P interaction will be achieved using information extracted from peer roles, profiles and user modelling, context that describes the overall user environment, and the specific request initiated, or service provided, by a peer, all of which are represented semantically in a machine understandable form. An end-user request (query) is first represented semantically and then routed through the network in order to find semantically matching peers.

Short Description

To handle the unprecedented demand for mobile data traffic, different vendors, operators and research programmes have aimed to develop radio access technologies (RATs) that boost physical-layer link capacity, utilize millimeter wave radio, or further densify network topology. Notable steps have also been made towards shifting baseband processing from the (currently) ultra dense network edge to a central location where coordinated resource management will be performed. Nonetheless, the today’s mobile network ecosystem includes vastly heterogeneous, evidently overlapping (in coverage) and fully isolated (in operation) attachment points that still handle most of the functions necessary for mobile data communications independently. Aiming to meet and surpass the requirements set for the 5G and Beyond mobile data network, in SPOTLIGHT we will create a fully-integrated and multi-disciplinary network of Early Stage Researchers (ESRs) that will analyze, design, and optimize the performance of a disruptive new mobile network architecture: the SPOTLIGHT architecture.

This architecture promises to break performance limitations present to the currently loosely inter-connected, resource-fragmented and isolated in operation mobile network ecosystem, by transforming the currently loosely-coupled multitude of heterogeneous and multi-layered RATs to a flat coalition of massively distributed antenna sub-systems that are optimally orchestrated by a cloud-empowered network core. Our primary aim will be to support for the first time self-including yet ultra-reliable radio communications at the edge network. To further reduce response time and enhance network resilience, all functions necessary for mobile communications will be subject of i) massive parallelization in cloud platforms at the network core and ii) big data analysis running on-top of a virtual pool of shared energy, radio, computing and storage resources at the network.

Short Description

Η ανάπτυξη του Internet of Things (ΙοΤ), έχει ενθαρρύνει την επιχειρηματικότητα σε πληθώρα πεδίων εφαρμογής, όπως αυτό των έξυπνων πόλεων. Παραδείγματα εφαρμογών ΙοΤ για έξυπνες πόλεις αποτελούν εφαρμογές για συστήματα πάρκινγκ, ηλεκτροφωτισμό, μέτρηση ρύπων/θερμοκρασίας, κ.α., οι οποίες έχουν ήδη εφαρμοστεί σε ευρωπαϊκές μητροπόλεις επιφέροντας αξιοσημείωτη εξοικονόμηση πόρων. Οι υπάρχουσες λύσεις, ακολουθούν την συμβατική προσέγγιση, η οποία υπαγορεύει μία πλατφόρμα για κάθε εφαρμογή/υπηρεσία, καθώς και χρήση υποδομής από παρόχους δικτύων κινητών επικοινωνιών για την αγκίστρωση των έξυπνων συσκευών στο Διαδίκτυο. Παράλληλα για τις έξυπνες συσκευές του IoT υιοθετούνται μονολιθικές υλοποιήσεις χωρίς δυνατότητες επέκτασης ή πολλαπλής χρήσης. Η προσέγγιση αυτή αποδομείται σταδιακά για δύο βασικούς λόγους. Πρώτον, περιορίζει τις δυνατότητες ανάπτυξης επιχειρηματικών μοντέλων στα οποία δεν εμπλέκονται πάροχοι δικτύων κινητών επικοινωνιών, και δεύτερον, δεν επιτρέπει την ανάπτυξη πολλαπλών εφαρμογών πάνω από την ίδια υποδομή. Στα πλαίσια αυτά, οι ελληνικές πόλεις κατατάσσονται στις χαμηλότερες θέσεις της Ευρώπης με βάση το ευρωπαϊκό «μοντέλο έξυπνης πόλης», οριοθετώντας έτσι ένα παρθένο έδαφος για ερευνητική και επιχειρηματική δραστηριότητα η οποία θα υιοθετεί τις πλέον καινοτόμες προσεγγίσεις στον χώρο του ΙοΤ. Σε αυτή τη βάση, το έργο CityZEN θα παράγει για πρώτη φορά στην Ελλάδα ένα ολοκληρωμένο σύστημα ΙοΤ το οποίο θα διαθέτει:

– Ευέλικτη, αρθρωτή και οικονομικά προσιτή υποδομή
– Μονάδες ασφαλούς και αποδοτικής διαχείρισης των πόρων και των συνδέσεων της υποδομής
– Εύληπτη πλατφόρμα ανάπτυξης εφαρμογών με αξιόπιστα και διαλειτουργικά APIs

Το κύριο αποτέλεσμα το έργου, δηλαδή το σύστημα CityZEN, θα προσδώσει ένα ξεκάθαρο ανταγωνιστικό πλεονέκτημα στις εταιρίες που συμμετέχουν στο έργο, καθώς θα αναπτυχθούν ανοιχτής πηγής APIs, επιτρέποντας την παραγωγή προστιθέμενης αξίας μέσω πολλαπλής αξιοποίησης του συστήματος. Στη πράξη, Business-to-Business (Β2Β) και 360° branding επιχειρηματικά μοντέλα μπορούν να αναπτυχθούν μέσω της χρήσης των APIs από τρίτους.

Start date

31 July 2019

Duration

36 Months

Budget

€ 542.630,00

Short Description

Re-cent aims at developing an integrated service for user-centric digital content delivery in 5G mobile data networks that will be founded on the pillars of a) blockchain based wireless network resource sharing, b) QoE-enhanced video content delivery, c) software-defined networking and d) cache-enabled mobile data networks. This research is being co‐financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE – INNOVATE.

Start date

1/1/2020

Duration

48 Months

Budget

€ 1 490 400,00

Short Description

The 5G mobile network architecture, which is currently consolidated (in terms of network components, technologies and interfaces), reveals a great network performance potential, appealing to different vertical market players. However, this potential cannot be fully harnessed without the appropriate algorithmic innovations and data-driven network automation that will permit full exploitation, global management and end-to-end integration of all the heterogeneous network components and resources. However, despite the rapidly increasing efforts devoted to the consolidation of the core 5G technologies(e.g. 5GPPP phase 2/3 projects), substantial work is still required to meet the IMT-2020 objectives set for the 5G network performance and fully harness the multitude of technological capabilities offered by 5G with minimum human intervention (e.g. through intelligent network automation and control). SEMANTIC aims to answer the aforementioned performance and technological gaps by forming an innovative research and training network for multi-GHz spectrum communications, MEC-empowered service provisioning and end-to-end network slicing, all integrated and jointly orchestrated by forward-looking data-driven network control and automation exploiting the enormous amounts of mobile big data spurred into the mobile data network. In this context, SEMANTIC will form an integrated, multi-disciplinary training network of Early Stage Researchers (ESRs), guided by experienced supervisors, aiming at the creation of highly-trained academic researchers and industrial professionals with a future-proof background on PHY design for multi-GHz communications, end-to-end MEC/RAN integration, slice-enabled connectivity and data-driven network orchestration in the 5G continuum.

Start date

1 January 2020

Duration

48 Months

Budget

€ 1 490 400,00

Short Description

The OPTIMIST programme sets the ambitious aim to develop a modular end-to-end service platform tailored to the
optimized delivery of personalised video content in 5G mobile networks, providing one of the first world-wide
implementations of MEC-enabled service provisioning in 5G networks that is fully compatible with the emerging ETSI/3GPP
reference architectures. To achieve this, the OPTIMIST service platform will design and implement different MEC services,
which are currently studied in an isolated fashion in current literature, (e.g. edge network caching exploiting edge storage
resources, video transcoding and data-driven content popularity prediction exploiting edge processing resources, optimized
video content placement and delivery exploiting the new 5G radio capabilities), in the form of virtual network functions
(VNFs) that are instantiated and optimized on-the-fly to construct a video service chain that is designed to meet the
personalized requirements of 5G mobile video consumers. To formalize the integration of MEC capabilities into the operation
of 5G mobile networks, the OPTIMIST service platform will be fully aligned with the existing and forthcoming standardization
activities in the areas of MEC and 5G networks (ETSI MEC and 3GPP); thus, maximizing the impact of the project in the
long-term both in terms of academic results (new methodological tools and algorithmic innovations) and market products
(deliver specific products / services that will enhance the portfolio of industrial partners). To this end, OPTIMIST will leverage
state-of-the-art (SotA) technologies in MEC-empowered service provisioning, data-driven service control and automation,
QoE-driven dynamic adaptive video streaming over HTTP (DASH), GPS-free localization and machine learning (ML) for
wireless communications.