Abstract
5G networks will comprise multiple, versatile infrastructures at finest granularity consisting of multiple disaggregated pools of network, compute and storage resources. To support the 5G network architectures and satisfy the access network demanding performance requirements, transport networks consisting of various converging technologies shall provide mechanisms to support deployment flexibility and scalability. The various deployment alternatives of transport network technologies and topologies in real network deployments shall take into account various factors such as area specifics, technologies’ deployment feasibility, traffic/usage forecasts considering long-term services roadmaps and certainly, the implicated costs. Thus, transport network planning and dimensioning shall be tightly accompanied by the techno-economic analysis of the various deployment alternatives. This paper provides insights of 5G transport network technologies and deployments as retrieved through macroscopic and microscopic technoeconomic analyses and demonstrates their applicability on the architectural concepts of 5G-PICTURE 5G-PPP project.
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Reference
5G-PPP Project 5G-XHaul. https://www.5g-xhaul-project.eu/. Accessed 1 Aug 2020
5G-PPP Project 5G-PICTURE. https://www.5g-picture-project.eu/index.html. Accessed 1 Aug 2020
5G-PPP View on 5G Architecture, Version 1.0 (2015). https://5g-ppp.eu/wp-content/uploads/2014/02/5G-PPP-5G-Architecture-WP-For-public-consultation.pdf. Accessed Dec 2016
5G-PPP View on 5G Architecture, Version 2.0 (2017). https://5g-ppp.eu/wp-content/uploads/2018/01/5G-PPP-5G-Architecture-White-Paper-Jan-2018-v2.0.pdf. Accessed 1 Aug 2020
5G-PPP Project 5G-Crosshaul. https://www.5g-crosshual.eu. Accessed 1 Aug 2020
Mesogiti, I., Theodoropoulou, E., Lyberopoulos, G., Setaki, F., Filis, K., Di Giglio, A., Percelsi, A., Tzanakaki, A.: Techno-economic aspects of 5G transport network deployments. In: Proceedings of the 23rd Conference on Optical Network Design and Modelling, May 2019, Athens, Greece
Di Giglio, A., Pagano, A.: Scenarios and economic analysis of fronthaul in 5G optical networks. J. Lightw. Technol. 37, 585–591 (2019)
di Giglio, A., Tzanakaki, A., Simeonidou, D.: Scenarios and Economic Analysis of Fronthaul. Invited to OFC 2018, San Diego, CA
3GPP TS 22.261: 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Service Requirements for the 5G System; Stage 1, Rel. 16
3GPP, TS 28.530: Management of 5G Networks and Network Slicing; Concepts, Use Cases and Requirements, Rel. 15
3GPP, TS 23.501: System Architecture for the 5G System; Stage 2, Rel. 15
5G-XHaul Project, Deliverable D2.2. System Architecture Definition (2016)
Tzanakaki, A. et al.: 5G infrastructures supporting end-user and operational services: the 5G-XHaul architectural perspective. IEEE ICC 2016, Workshop on 5G Architecture, Kuala Lumpur, Malaysia (2016)
Legg, P., Kalokidou, V., Pelham, T.: 5G-XHAUL, Deliverable D4.7. Test Results from Field Trial, Real Time Algorithms in BWT DP1 Platform (2016)
Garcia Villegas, E., Demirkol, I., Camps, D.: 5G-XHAUL, Deliverable D4.11. Wireless Backhauling Using Sub-6GHz Systems (2016)
5G-PICTURE Deliverable D2.3: Vertical Services, Architecture and Final Evaluations (2019)
5G-PICTURE Deliverable D4.1: State of the Art and Initial function Design (2018)
5G-PICTURE Deliverable D4.2: Complete Design and Initial Evaluation of Developed Functions (2018)
Zou, J. et al.: Field-Trial Evaluation of Low-Latency and Timing-Accurate 100G Ethernet Aggregator for Converged Mobile X-haul. ECOC, Rome, Italy (2018)
5G-XHaul D6.4: 5G-XHaul Techno-economic Study (2018)
Lyberopoulos, G., Theodoropoulou, E., Mesogiti, I. et al.: Fiber-wireless fronthaul/backhaul network architectures for 5G. In: Proceedings of the Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), IEEE 20th International Workshop, 17–19 September 2018, Barcelona, Spain (2018)
Goodarzi, M., Maletic, N. et al.: 5G-XHAUL, Deliverable D3.3. D3.3 5G-XHaul Algorithms and Services Design and Evaluation (2018)
5G-PICTURE Deliverable D2.2: System Architecture and Preliminary Evaluations (2018)
Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2017–2022. https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white-paper-c11-738429.pdf
Chang, C.-Y., Nikaein, N., Knopp, R., Spyropoulos, T., Sandeep Kumar, S.: FlexCRAN: a flexible functional split framework over ethernet fronthaul in Cloud-RAN. In: Proceedings of the 2017 IEEE International Conference on Communications (ICC), 21–25 May 2017, Paris, France
Nikaein, N.: Processing radio access network functions in the cloud: critical issues and modeling. In: Proceedings of the 6th International Workshop on Mobile Cloud Computing and Services, September 11, 2015, Paris, France
Acknowledgements
The research leading to these results has received funding from the EU Framework Programme H2020 under Grant Agreement No. 762057, Project Name “5G-PICTURE: "5G Programmable Infrastructure Converging disaggregated neTwork and compUte REsources”.
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Mesogiti, I., Lyberopoulos, G., Setaki, F. et al. Macroscopic and microscopic techno-economic analyses highlighting aspects of 5G transport network deployments. Photon Netw Commun 40, 256–268 (2020). https://doi.org/10.1007/s11107-020-00912-w
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DOI: https://doi.org/10.1007/s11107-020-00912-w