Approximate Method for Estimating Characteristics of Joint Service of Real-time Traffic and Elastic Data Traffic in Multiservice Access Nodes

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Resumo

A mathematical model of joint servicing of priority real-time traffic and elastic data traffic in multiservice access nodes has been constructed and studied. Definitions of quality indicators for
joint servicing of incoming requests for information services are provided. A system of statistical equilibrium equations is formed and its use for calculating the exact values of the introduced characteristics is considered. A method for approximate calculation of characteristics is proposed, based on the construction of a system of simplified equilibrium equations. It has been established that the obtained estimates of customer service indicators are asymptotically accurate in the region of large and small losses. The use of the developed method is shown to solve the problem of estimating the volume of traffic offloaded in an overload situation to other access nodes or to other frequency ranges in order to achieve values of specified QoS indicators and to solve the problem of planning the volume of required transmission resource of a multiservice access node.

Sobre autores

S. Stepanov

Moscow Technical University of Communications and Informatics

Email: s.n.stepanov@mtuci.ru
Moscow, Russia

M. Stepanov

Moscow Technical University of Communications and Informatics

Autor responsável pela correspondência
Email: m.s.stepanov@mtuci.ru
Moscow, Russia

Bibliografia

  1. Study on scenarios and requirements for next generation access technologies. 3GPP Technical Report (TR) 138.913 version 15.0.0 Release 15. 2018.
  2. Network Slice Selection Services. 3GPP Technical Speci cation (TS) 129.531 version 15.5.0. Release 15. 2019.
  3. Evans J., Fils ls C. Deploying IP and MPLS QOS for multiservice networks. Theory and Practice. Morgan Kaufmann Publishers. Elsevier, 2007. 456 p.
  4. Ross K.W. Multiservice loss models for broadband telecommunication networks. London: Springer, 1995. 343 p.
  5. Iversen V.B. Teletra c Engineering and Network Planning. Technical University of Denmark, May 2010. 370 p.
  6. Broadband network traffic. Performance evaluation and design of broadband multiservice networks. Final report of action COST 242 / James Roberts (ed). Lecture notes in computer sciences. Springer, 1996. 584 p.
  7. Степанов С.Н. Основы телетрафика мультисервисных сетей. М.: Эко - Трендз, 2010. 392 c.
  8. Bonald T., Feuillet M. Network Performance Analysis. United Kingdom, London, Wiley, 2011. 253 p.
  9. Basharin G.P., Gaidamaka Yu.V., Samouylov K.E. Mathematical Theory of Teletraffic and Its Application to the Analysis of Multiservice Communication of Next Generation Networks // Autom. Control Comput. Sci. 2013. V. 47. No. 2. P. 62-69.
  10. Степанов С.Н. Теория телетрафика: концепции, модели, приложения. М.: Горячая линия - Телеком, 2015. 868 с.
  11. Степанов С.Н., Степанов М.С. Планирование ресурса передачи при совместном обслуживании мультисервисного трафика реального времени и эластичного трафика данных // АиТ. 2017. № 11. C. 79-93.
  12. Shorgin S., Samouylov K., Gaidamaka Y., Chukarin A., Buturlin I., Begishev V. Modeling Radio Resource Allocation Scheme with Fixed Transmission Zones for Multiservice M2M Communications in Wireless IoT Infrastructure // Lecture Notes Comput. Sci., Springer, Cham. 2015. V. 9012. P. 473-483.
  13. Begishev V., Petrov V., Samuylov A., Moltchanov D., Andreev S., Koucheryavy Y., Samouylov K. Resource Allocation and Sharing for Heterogeneous Data Collection over Conventional 3GPP LTE and Emerging NB-IoT Technologies // Comput. Communicat. 2018. V. 120. No. 2. P. 93-101.
  14. Naumov V., Gaidamaka Yu., Yarkina N., Samouylov K. Matrix and Analytical Methods for Performance Analysis of Telecommunication Systems. Springer Nature, Switzerland, 2021.
  15. Kallos G.A., Vassilakis V.G., Moscholios I.D., Logothetis M.D. Performance modelling of W-CDMA networks supporting elastic and adaptive trafic // Proc. of 4 Int. Working Conference on Performance Modelling and Evaluation of Heterogeneous Networks (HET-NETs '06), Ilkley, 2006.
  16. Gudkova I.A., Samouylov K.E. Modelling a radio admission control scheme for video telephony service in wireless networks // Lecture Notes Comput. Sci. 2012. V. 7469. P. 208-215.
  17. Bonald T., Virtamo J. A recursive formula for multirate systems with elastic trafic // IEEE Communicat. Lett. 2005. V. 9. No. 8. P. 753-755.
  18. Степанов С.Н., Степанов М.С. Планирование ресурса передачи информации соединительных линий мультисервисных иерархических сетей доступа // АиТ. 2018. № 8. C. 66-80.
  19. Степанов С.Н., Степанов М.С. Эффективный алгоритм оценки требуемого объема ресурса беспроводных систем связи при совместном обслуживании гетерогенного трафика устройств интернета вещей // АиТ. 2019. № 11. C. 108-126.
  20. Степанов С.Н., Степанов М.С. Методы оценки необходимого объема ресурса мультисервисных узлов доступа // АиТ. 2020. № 12. C. 129-152.
  21. Stepanov S.N. Markov models with retrials: The calculation of stationary performance measures based on the concept of truncation // Math. Comput. Model. 1999. No. 30. P. 207-228.
  22. Stepanov S., Stepanov M. Estimation of the Performance Measures of a Group of Servers Taking into Account Blocking and Call Repetition before and after Server Occupation // Mathematics. 2021. V. 9. No. 21. 2811. P. 1-24. https://doi.org/10.3390/math9212811
  23. Fortet R., Grandjean Ch. Congestion in a Loss System When Some Calls Want Several Devices Simultaneously // Electr. Communicat. 1964. V. 39. No. 4. P. 513-526.
  24. Kaufman J.S. Blocking in a shared resource environment // IEEE Transact. Communicat. 1981. V. 29. No. 1. P. 1474-1481.
  25. Chen J., Chang Z., Guo X., Li R., Han Z. Hamalainen, T. Resource Allocation and Computation Offloading for Multi-Access Edge Computing With Fronthaul and Backhaul Constraints // IEEE Transactions on Vehicular Technology. 2021. V. 70. No. 8. P. 8037-8049.
  26. Stepanov S.N., Andrabi U.M., Stepanov M.S., Ndayikunda J. Reservation Based Joint Servicing of Real Time and Batched Traffic in Inter Satellite Link // Proc. of 2020 Systems of Signals Generating and Processing in the Field of on Board Communications. Moscow. Russia. 2020. P. 1-5. https://doi.org/10.1109/IEEECONF48371.2020.9078542
  27. Volkov A.O., Korobkina A.V., Stepanov S.N. Development of Model and Algorithms for Servicing Real-Time and Data Traffic in a Cloud Computing System // Proc. of 2022 Systems of Signals Generating and Processing in the Field of on Board Communications. Moscow. Russia. P. 1-6. 2022. https://doi.org/10.1109/IEEECONF53456.2022.9744289

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