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@article{Kakkavas2022,

title = {Design, Development, and Evaluation of 5G-Enabled Vehicular Services: The 5G-HEART Perspective},

author = {G. Kakkavas and M. Diamanti and A. Stamou and V. Karyotis and F. Bouali and J. Pinola and O. Apilo and S. Papavassiliou and K. Moessner},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122184044&doi=10.3390%2fs22020426&partnerID=40&md5=94c4a7adfcadc3d81cda5f51e00ce6d7},

doi = {10.3390/s22020426},

issn = {14248220},

year  = {2022},

date = {2022-01-01},

journal = {Sensors},

volume = {22},

number = {2},

publisher = {MDPI},

abstract = {The ongoing transition towards 5G technology expedites the emergence of a variety of mobile applications that pertain to different vertical industries. Delivering on the key commitment of 5G, these diverse service streams, along with their distinct requirements, should be facilitated under the same unified network infrastructure. Consequently, in order to unleash the benefits brought by 5G technology, a holistic approach towards the requirement analysis and the design, development, and evaluation of multiple concurrent vertical services should be followed. In this paper, we focus on the Transport vertical industry, and we study four novel vehicular service categories, each one consisting of one or more related specific scenarios, within the framework of the “5G Health, Aquaculture and Transport (5G-HEART)” 5G PPP ICT-19 (Phase 3) project. In contrast to the majority of the literature, we provide a holistic overview of the overall life-cycle management required for the realization of the examined vehicular use cases. This comprises the definition and analysis of the network Key Performance Indicators (KPIs) resulting from high-level user requirements and their interpretation in terms of the underlying network infrastructure tasked with meeting their conflicting or converging needs. Our approach is complemented by the experimental investigation of the real unified 5G pilot’s characteristics that enable the delivery of the considered vehicular services and the initial trialling results that verify the effectiveness and feasibility of the presented theoretical analysis. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.},

note = {cited By 16},

keywords = {5G mobile communication systems, aquaculture; industry; technology; wireless communication, Aquaculture; Industry; Technology; Wireless Technology, Benchmarking; Life cycle, Design development; Design evaluation; Key performance indicators; Mobile applications; Network infrastructure; Network requirements; Network slicing; Transport vertical; Validation trial; Vehicular service},

pubstate = {published},

tppubtype = {article}

}

@article{Kakkavas202170,

title = {Network Tomography for Efficient Monitoring in SDN-Enabled 5G Networks and Beyond: Challenges and Opportunities},

author = {G. Kakkavas and A. Stamou and V. Karyotis and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105611912&doi=10.1109%2fMCOM.001.2000458&partnerID=40&md5=16953d3d2cba346d5c5b36d400f023c4},

doi = {10.1109/MCOM.001.2000458},

issn = {01636804},

year  = {2021},

date = {2021-01-01},

journal = {IEEE Communications Magazine},

volume = {59},

number = {3},

pages = {70-76},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Efficient monitoring plays a vital role in software-defined networking (SDN)-enabled 5G networks, involving the monitoring of performance metrics for both physical and virtual networks and considering the requirements of a variety of traffic types originating from different applications. However, conventional network monitoring tools based on traditional IP-based mechanisms may not be able to keep up with the dynamic nature of 5G networks. Network tomography (NT) is an emerging monitoring approach that estimates network performance based on measurements realized at a limited subset of network elements, presenting benefits over traditional monitoring techniques, but susceptible to identifiability issues. In this article, we demonstrate how NT can respond to current monitoring challenges, complementing and working together with SDN, yielding accurate estimations with low overhead, while exploiting SDN capabilities such as the centralized view of the entire network, direct flow-level measurements, and controllable routing. Furthermore, we present the spectrum of applications of NT-based solutions in 5G networks and beyond, ranging from virtual to vehicular networks. © 1979-2012 IEEE.},

note = {cited By 29},

keywords = {5G mobile communication systems, Accurate estimation; Efficient monitoring; Monitoring approach; Monitoring techniques; Network monitoring tools; Performance metrics; Software defined networking (SDN); Vehicular networks, Application programs; Monitoring; Queueing networks},

pubstate = {published},

tppubtype = {article}

}