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Network Function Virtualization: Mitigating the Impact of VoLTE on the Policy and the Charging System

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Needless to say that telecommunications’ operators are showing increasing interests toward solving the dilemma of optimizing network resources while offering state-of-the-art quality of service. Recently, operators have shown an increasing interest to investigate solutions for better control on network utilization, service usage and monetization. They also noticed a significant growth in Diameter signaling and more specifically in signaling related to policy management. A massive introduction of Voice over LTE (VoLTE) service will have a significant impact on the systems handling policy signaling, as VoLTE will reshape the landscape of Long Term Evolution (LTE) policies and completely change the way policy management works. However, this massive approach is meant to provide significant competitive advantages for operators offering LTE services and still require circuit-switched network to provide voice service. The biggest challenge for those operators is to find an appropriate solution, scalable enough to handle the unpredictable growth of Diameter signaling. In this paper, a model, based on Network Function Virtualization (NFV) technology is proposed, able to address the challenges of massively introducing VoLTE, without impacting existing services and without jeopardizing current revenues. In presented approach, the standard VoLTE call flows, referenced user’s behavior and latest experiments’ results on NFV technology are used.
Słowa kluczowe
Rocznik
Tom
Strony
66--76
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
autor
  • Electronics and Communications Laboratory (LEC), Mohammadia School of Engineering (EMI), Rabat Mohammed V University (UM5R), Rabat, Morocco
autor
  • Electronics and Communications Laboratory (LEC), Mohammadia School of Engineering (EMI), Rabat Mohammed V University (UM5R), Rabat, Morocco
autor
  • Electronics and Communications Laboratory (LEC), Mohammadia School of Engineering (EMI), Rabat Mohammed V University (UM5R), Rabat, Morocco
autor
  • Gregor Research Lab, Pantheon-Sorbonne University, Paris, France
Bibliografia
  • [1] “Tellabs ”End of Profit” study executive summary”, Tellabs, Jan. 2011.
  • [2] A. Aijaz, H. Aghvami, and M. Amani, “A survey on mobile data offloading: technical and business perspectives”, IEEE Wirel. Commun., vol. 20, no. 2, pp. 104–112, 2013.
  • [3] Y. Li, M. Qian, D. Jin, P. Hui, Z. Wang, and S. Chen, “Multiple mobile data offloading through disruption tolerant networks”, IEEE Trans. Mob. Comput., vol. 13, no. 7, pp. 1579–1596, 2014.
  • [4] R. Travis, “Oracle Communications LTE Diameter Signaling Index”, 4th ed., Oracle Communications, Oracle, Oct. 2015.
  • [5] “Cisco Visual Networking Index: Forecast and Methodology, 2014–2019”, Cisco, Tech. Rep., May 2015.
  • [6] J. Rankin, A. Costaiche, J. Zeto, and K. O’Neil, Validating VoLTE: A Definitive Guide to Succssful Deployments, 2 ed. IXIA, 2014.
  • [7] G. Blennerud, “Mobile Broadband: Busting the myth of the scissor effect”, Tech. Rep., Ericsson, Dec. 2012.
  • [8] “Network Policy Control and the Migration to LTE”, Sandvine, Tech. Rep., Nov. 2013.
  • [9] “Quality of Service (QoS) and Policy Management in Mobile Data Networks”, IXIA, Tech. Rep. 915-2731-01 Rev. D, Dec. 2013.
  • [10] “Distributed Decisions in Network Policy Control”, Sandvine, Tech. Rep., Nov. 2013.
  • [11] “New VoLTE Policy Management Architecture: Improve Subscriber Experience and Lower Cost of Growth”, Cisco, Tech. Rep. C11-732158-0, Mar. 2015.
  • [12] J. Gillet and T. Hatt, “Smartphone forecasts and assumptions: 2007-2020”, GSMA Intelligence, Tech. Rep., Sept. 2014.
  • [13] S. Pang, Successful Service Design for Telecommunications: A Comprehensive Guide to Design and Implementation. Hoboken, NJ: Wiley, 2009.
  • [14] “Voice over LTE: Challenges and Opportunities”, Sandvine, Tech. Rep. Version 2.0, 2015.
  • [15] “Policy and charging control signalling flows and Quality of Service (QoS) parameter mapping”, TS 29.213 V13.1.0, 3rd Generation Partnership Project (3GPP), Mar. 2015.
  • [16] “General Packet Radio Service (GPRS) enhancements for Evolved Universal Terrestrial Radio Access Network (E-UTRAN) access”, TS 23.401 V13.0.0, 3rd Generation Partnership Project (3GPP), Sept. 2014.
  • [17] “Policy and charging control architecture”, TS 23.203 V13.3.0, 3rd Generation Partnership Project (3GPP), Mar. 2015.
  • [18] “Telecommunication management; Charging management; Diameter charging applications”, TS 32.299 V13.0.0, 3rd Generation Partnership Project (3GPP), Mar. 2015.
  • [19] “IP Multimedia (IM) Subsystem Cx and Dx Interfaces; Signalling flows and message contents”, TS 29.228 V12.0.0, 3rd Generation Partnership Project (3GPP), Sept. 2013.
  • [20] “Data for Operators Ranking connections, excluding cellular M2M, Total”, GSMA Intelligence, Tech. Rep., Q4 2020.
  • [21] “Data for Operators Ranking connections, excluding cellular M2M, 4G”, GSMA Intelligence, Tech. Rep., Q2 2015.
  • [22] “% connections, excluding cellular M2M, Prepaid, World”, GSMA Intelligence, Tech. Rep., Q4 2015.
  • [23] Y. Ouyang and M. H. Fallah, “An analysis of traffic and throughput for UMTS packet core networks”, in Research, Practice, and Educational Advancements in Telecommunications and Networking, M. R. Bartolacci and S. R. Powell, Eds. IGI Global, 2012, pp. 82–107.
  • [24] “IP multimedia call control protocol based on Session Initiation Protocol (SIP) and Session Description Protocol (SDP); Stage 3”, TS 24.229 V13.0.0, 3rd Generation Partnership Project (3GPP), Sept. 2015.
  • [25] “Bringing Network Function Virtualization to LTE”, Tech. Rep., 4G Americas, Nov. 2014.
  • [26] “MWC 2015 End-to-End NFV Architecture demof”, Telefonica, Brocade, Cyad, Intel, and Redhat, Tech. Rep., GSMA Mobile World Congress, Spain, Mar. 2015.
  • [27] D. Mavrakis, “MWC 2015: NFV gets real”, Tech. Rep. TE0006-001035, Ovum, Mar. 2015.
  • [28] “End to End Network Function Virtualization Architecture Instantiation”, Intel, Brocade, Cyan, Red Hat, and Telefonica, Tech. Rep., Feb. 2015.
  • [29] Z. Huang, R. Ma, J. Li, Z. Chang, and H. Guan, “Adaptive and scalable optimizations for high performance SR-IOV”, in Proc. IEEE Int. Conf. Cluster Comput. CLUSTER 2012, Beijing, China, 2012, pp. 459–467.
  • [30] S. B. H. Said, M. R. Sama, K. Guillouard, L. Suciu, G. Simon, X. Lagrange, and J.-M. Bonnin, “New control plane in 3GPP LTE/EPC architecture for on-demand connectivity service”, in Proc. 2nd IEEE Int. Conf. Cloud Netw. CloudNet 2013, San Francisco, CA, USA, 2013, pp. 205–209.
  • [31] Y. Jouihri and Z. Guennoun, “Best selection for operators starting LTE deployment towards voice services” in Proc. Int. Conf. Multimed. Comput. & Syst. ICMCS 2012, Tangier, Morocco, 2012, pp. 568–573.
  • [32] G. Brown, “Virtualization of IMS & VoLTE in Mobile Operator Core Networks”, Mavenir, Tech. Rep., Mar. 2013.
  • [33] “IMS Application Level Gateway (IMS-ALG) IMS Access Gateway (IMS-AGW); Iq Interface”, TS 29. 334 V10.2.0, 3rd Generation Partnership Project (3GPP), Sept. 2011.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bd10559f-807b-4ff3-a38c-44fc0f27502b
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