Analityczny model plastrów w sieciach 5G

• Autorzy: Hanczewski S. , Weissenberg J.

Identyfikatory

DOI

10.15199/59.2018.8-9.18

Warianty tytułu

EN

Analytical model of slices in 5G networks

• Konferencja: Krajowe Sympozjum Telekomunikacji i Teleinformatyki (12-14.09.2018 ; Bydgoszcz, Polska)
• Języki publikacji: PL

Abstrakty

PL

Sieci 5G mają być w pełni szerokopasmowymi sieciami dostępowymi. Zasoby sieci mają być dzielone na plastry. Koncepcja plastrów opiera się na dwóch znanych rozwiązaniach: wirtualizacji i sieci programowych SDN. Ponieważ efektywne wykorzystanie zasobów interfejsu radiowego jest kluczowe dla realizacji oferowanych usług na odpowiednim poziomi QoS, konieczne jest opracowanie modelu analitycznego sieci 5G. Model taki mógłby być narzędziem wspomagajaącym pracę inżyniera odpowiedzialnego za projektowanie i utrzymanie sieci 5G. Artykuł zawiera propozycję właśnie takiego modelu.

EN

5G networks are to be fully broadband access networks, in which network resources are to be divided in to slices. The concept of slice is based on virtualisation and Software Define Network. Since the effective use of radio interface resources is crucial for the implementation of the services offered at the appropriate QoS level, it is necessary to develop an analytical model of 5G networks. The article contains a proposal of an analytical model, which in the Authors view can become a tool supporting an engineers responsible for designing and maintaining the 5G networks.

Słowa kluczowe

PL

model analityczny; plastry; sieci 5G

EN

analytical model; slices; 5G networks

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne
• Rocznik: 2018
• Tom: nr 8-9
• Strony: 634--639, CD
• Opis fizyczny: Bibliogr 27 poz., rys.

Twórcy

autor

Hanczewski S.

• Wydział Elektroniki i Telekomunikacji, Katedra Sieci Telekomunikacyjnych i Komputerowych, Politechnika Poznańska, Piotrowo 3a, 60-965 Poznań

autor

Weissenberg J.

• Wydział Elektroniki i Telekomunikacji, Katedra Sieci Telekomunikacyjnych i Komputerowych, Politechnika Poznańska, Piotrowo 3a, 60-965 Poznań

Bibliografia

• [1] “Ericsson mobility report, interim update," Ericsson, Tech. Rep., 2018.
• [2] “Cisco visual networking index: Global mobile data traffic forecast update, 2016-2021," CISCO, Tech. Rep., 2017.
• [3] G. M. Stamatelos and V. N. Koukoulidis, “Reservation-based bandwidth allocation in a radio atm network," IEEE/ACM Transactions on Networking, vol. 5, no. 3, 420-428, Jun. 1997.
• [4] M. Stasiak and M. Gła˛bowski, “Point-to-point blocking probability in switching networks with reservation," in Proceedings of 16th International Teletraffic Congress, vol. 3A. Edinburgh, UK: Elsevier, Jun. 1999, 519-528.
• [5] M. Gła˛bowski, A. Kaliszan, and M. Stasiak, “Asymmetric convolution algorithm for blocking probability calculation in full-availability group with bandwidth reservation." IET Circuits, Devices & Systems, vol. 2, no. 1, 87-94, 2008.
• [6] K. Subramaniam and A. A. Nilsson, “Tier-based analytical model for adaptive call admission control scheme in a umts-wcdma system," in 2005 IEEE 61st Vehicular Technology Conference, vol. 4, May 2005, 2181-2185 Vol. 4.
• [7] S. Hanczewski, M. Stasiak, and P. Zwierzykowski, “Modelling of the access part of a multi-service mobile network with service priorities," EURASIP Journal on Wireless Communications and Networking, vol. 2015, no. 1, 1-14, 2015.
• [8] S. Rácz, B. P. Ger˝o, and G. Fodor, “Flow level performance analysis of a multi-service system supporting elastic and adaptive services," Performance Evaluation, vol. 49, no. 1-4, 451 - 469, 2002.
• [9] I. Moscholios, M. Logothetis, and G. Kokkinakis, “Connection-dependent threshold model: a generalization of the Erlang multiple rate loss model," Journal of Performance Evaluation, vol. 48, 177-200, May 2002.
• [10] M. Sobieraj, M. Stasiak, J. Weissenberg, and P. Zwierzykowski, “Analytical model of the single threshold mechanism with hysteresis for multi-service networks," IEICE Transactions on Communications, vol. E95-B, no. 1, 120-132, 2012.
• [11] I. D. Moscholios, M. D. Logothetis, and A. C. Boucouvalas, “Blocking probabilities of elastic and adaptive calls in the erlang multirate loss model under the threshold policy," Telecommunication Systems, vol. 62, no. 1, 245-262, 2016.
• [12] Q. Huang, K.-T. Ko, and V. B. Iversen, “Approximation of loss calculation for hierarchical networks with multiservice overflows," IEEE Transactions on Communications, vol. 56, no. 3, 466-473, Mar. 2008.
• [13] M. Gła˛bowski, S. Hanczewski, and M. Stasiak, “Modelling of cellular networks with traffic overflow," Mathematical Problems in Engineering, vol. 2015, s. 15, 2015, article ID 286490.
• [14] M. Gła˛bowski, A. Kaliszan, and M. Stasiak, “Modelling overflow systems with distributed secondary resources," Computer Networks, vol. 108, 171-183, 2016.
• [15] S. Hanczewski, M. Stasiak, and J. Weissenberg, “A queueing model of a multi-service system with state-dependent distribution of resources for each class of calls," IEICE Transactions on Communications, vol. E97-B, no. 8, 1592-1605, 2014.
• [16] M. Stasiak, “Queuing systems for the internet," IEICE Transactions on Communications, vol. E99-B, no. 6, 1224-1242, jun 2016.
• [17] S. Hanczewski, A. Kaliszan, and M. Stasiak, “Convolution model of a queueing system with the cFIFO service discipline," Mobile Information Systems, vol. 2016, s. 15, 2016, art.ID 2185714.
• [18] “5G dla polski," Ministrestwo Cyfryzacji, Tech. Rep., 2018.
• [19] “Identification and quantification of key socio-economic data to support strategic planning for the introduction of 5G in europe," European Commission, Tech. Rep., 2018.
• [20] T. Bonald and J. Virtamo, “A recursive formula for multirate systems with elastic traffic," Communications Letters, IEEE, vol. 9, no. 8, 753-755, 2005.
• [21] “Ngmn 5G white paper," Next Generation Mobile Networks, Tech. Rep., 2017.
• [22] ITU, “Integrated services digital network, recommendation i.120," INTERNATIONAL TELECOMMUNICATION UNION, Tech. Rep., 1993.
• [23] M. Stasiak, Efektywna doste¸pno´s´c w zagadnieniach modelowania pól komutacyjnych. Wydawnictwo Politechniki Pozna ´nskiej, 2005.
• [24] J. Roberts, V. Mocci, and I. Virtamo, Eds., Broadband Network Teletraffic, Final Report of Action COST 242. Berlin: Commission of the European Communities, Springer, 1996.
• [25] J. Kaufman, “Blocking in a shared resource environment," IEEE Transactions on Communications, vol. 29, no. 10, 1474-1481, 1981.
• [26] J. Roberts, “A service system with heterogeneous user requirements — application to multi-service telecommunications systems," in Proceedings of Performance of Data Communications Systems and their Applications, G. Pujolle, Ed. Amsterdam: North Holland, 1981, 423-431.
• [27] “Ericsson white paper, 5g systems," Ericsson, Tech. Rep., 2017.