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STUDY ON MECHANISMS FOR USER TRAFFIC HANDLING AT THE NETWORK EDGE

Evelina Pencheva

First published: 2019-06-20https://doi.org/10.5593/sgem2019/4.1/s17.061View metrics

Abstract

This paper presents a study on deployment of policy based quality of service management at the mobile network edge. The requirements of fifth generation (5G) services for high bandwidth, low latency, reliability and availability can be fulfilled by Multi-access Edge Computing (MEC) former Mobile Edge Computing, which distributes cloud capabilities in the Radio Access Network. The paper studies the MEC potential for monitoring of accumulated usage of network resources based on data traffic volume on per session or user basis, for application traffic detection and control, and for policy based control on subscriber spending limits. Typical use cases are considered to illustrate the benefits of distribution of core network functionality for policy and charging control at the network edge. Migration of policy and charging control functions from the core to the edge, and providing them using virtualization and service oriented techniques enables cost reduction, performance improvement and reduced energy consumption for devices with constrained resources.

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Publication details

Title
STUDY ON MECHANISMS FOR USER TRAFFIC HANDLING AT THE NETWORK EDGE
Authors
Evelina Pencheva
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Energy and Clean Technologies
Publisher
STEF92 Technology
Year
2019
Pages
481-488
SWS Citekey
Pencheva201917481488
ISSN
1314-2704
ISBN
978-619-7408-83-6
Language
en
Publication type
Conference Paper
Keywords
References10
  1. Solozabal, R., Fajardo, J. O., Blanco, B., Liberal, F. Quality of Service (QoS) oriented management system in 5G cloud enabled RAN, XIII Jornadas de Ingeniería Telemática, JITEL, 2017, pp. 170-175..

  2. Abbas, N., Zhang, Y., Taherkordi, A., Skeie, T. Mobile Edge Computing: A Survey, IEEE Internet of Things Journal, vol. 5, no. 1, 2018, pp. 450-465.

  3. Porambage, P., Okwuibe, J., Liyanage, M., Ylianttila, M., Taleb, T. Survey on Multi-Access Edge Computing for Internet of Things Realization, IEEE Communications Surveys & Tutorials, 2018, DOI: 10.1109/COMST.2018.2849509.

  4. Shahzadi, S., Iqbal, M., Daguiklas, T., Qayyum, Z.U. Multi-access Edge Computing: open issues, challenges and future perspectives, Journal of Cloud Computing: Advances, Systems and Applications, vol.6, issue 30, 2017, pp.2-13.

  5. Pencheva, E, Atanasov, I. Usage Monitoring Control in Radio Access Network, 23th Conference of Open Innovations Association FRUCT, Bologna, Italy, 2018, pp.306-314

  6. ETSI GS MEC 012 Mobile Edge Computing (MEC); Radio Network Information API, v.1.1.1, 2017.

  7. Pencheva, E., Atanasov, I., Velkova, D., Trifonov, V. Application Level User Traffic Control at the Mobile Network Edge, 24th FRUCT, Moscow, Russia, 2019, pp.1-7.

  8. Pencheva, E., Atanasov, I. Application Level Extension of Bandwidth Management in Radio Access Network, International Journal of Reasoning-based Intelligent Systems, 2018, pp.1-12, in print.

  9. ETSI GS MEC 015 Mobile Edge Computing (MEC); Bandwidth Management API, v1.1.1, 2017

  10. Atanasov, I., Pencheva, E., Nametkov, A., Trifonov, V. Mobile Edge Service for Charging Control, 24th FRUCT, Moscow, Russia, 2019 pp.1-7.

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