Mobile Edge Service for Intersystem Handover

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Multi-access Edge Computing (MEC) appears to be an integrating technology for radio access networks to enhance the access capacity, optimize network performance and improve quality of experience for end users. MEC distributes cloud capabilities for storage and computing in the radio access network, close to the end users. As far as the development of advanced Application Programming Interfaces is a key area, we propose a new mobile edge service that enables 3rd party control on intersystem handover. The proposed service enables authorized applications to initiate intersystem handover following specific policy. The service is described by information flows illustrating the basic functionality, data models that provide mediation functions, and handover state models considering some implementation issues.

     


  • Keywords


    component; Multi-access Edge Computing; open access; vertical handover; Application Programming Interfaces

  • References


      [1] K. Khawam, S. Lahoud, M. Ibrahim, M.Yassin, S. Martin, M. El Helou,F. Moety, "Radio access technology selection in heterogeneous networks, " Physical Communication, Vol. 18, Part 2, 2016, pp. 125-139.

      [2] M. El Helou, S. Lahoud, M. Ibrahim, K. Khawam, B. Cousin, D. Mezher, "A Hybrid Approach for Radio Access Technology Selection in Heterogeneous Wireless Networks," Wireless Personal Communications, 2016, Vol. 86, Issue 2, pp 789–834

      [3] C. Sexton, N. J. Kaminski, J. M. Marquez-Barja, N. Marchetti and L. A. DaSilva, "5G: Adaptable Networks Enabled by Versatile Radio Access Technologies," IEEE Communications Surveys & Tutorials, vol. 19, no. 2, pp. 688-720, Second quarter 2017.

      [4] Habbal, S. I. Goudar and S. Hassan, "Context-Aware Radio Access Technology Selection in 5G Ultra Dense Networks," in IEEE Access, vol. 5, pp. 6636-6648, 2017.

      [5] D. Soldani, P. Chatzimisios, A. Jamalipour, B. Barani, S. Redana and S. Rangan, "5G Radio Access Architecture and Technologies," in IEEE Communications Magazine, 2016, vol. 54, no. 11, pp. 14-15.

      [6] S. I. Popoola, N. Faruk, A. A. Atayero, M. A. Oshin, O. W. Bello, M. Adigun, "5G Radio Access Network Technologies: Research Advances," Proceedings of the World Congress on Engineering and Computer Science, 2017, San Francisco, USA, pp.1-5.

      [7] ETSI GS MEC 009 Mobile Edge Computing (MEC); General principles for Mobile Edge Service APIs, v1.1.1, 2017.

      [8] T. Taleb, K. Samdanis, B. Mada, H. Flinck, S. Dutta and D. Sabella, "On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration," in IEEE Communications Surveys & Tutorials, vol. 19, no. 3, pp. 1657-1681, third quarter 2017..

      [9] A. Gehlot and A. Rajavat, "Handoff between WiMAX and WiFi wireless networks," Symposium on Colossal Data Analysis and Networking (CDAN), Indore, 2016, pp. 1-5.

      [10] T. Velmurugan, Sibaram Khara, S. Nandakumar, and D. Sumathi, Seamless Vertical Handoff Using Modified Weed Optimization Algorithm for Heterogeneous Wireless Networks, " Radioelectronics and Communications Systems, 2017, Vol. 60, No. 10, pp. 431–448.

      [11] Zarna M. Gohil, D. N. Khandhar, K. M. Pattani, "Implement & Analysis of RSS Threshold based Vertical Handoff Decision Algorithm for LTE & WLAN, " International Journal of Innovative Research in Computer and Communication Engineering, vol. 5, issue 1, 2017, pp.311-317.

      [12] Chandan Kumar, Ravi Shankar Shukla ,Gaurav Agarwal, Connectivity based Handoff Scheme for WiMAX, International Journal of Engineering Technology Science and Research IJETSR, vol.4, issue 7, 2017, pp.500-504.

      [13] Saranya Sakthivel, "A Spectrum Access with User Cooperation in Heterogeneous Cognitive Radio Networks, " International Journal of Systems Engineering, vol 1, issue 3, 2017, pp. 63-66.

      [14] T. Taleb, K. Samdanis, B. Mada, H. Flinck, S. Datta, D. Sabella, ”On Multi-access Edge Computing: A survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration, " IEEE Communications Surveys & Tutorials, vol.19, no.3, 2017, pp.1657-1681.

      [15] I. Atanasov, E. Pencheva, "Web Services for Radio Resource Control," In: Longo A. et al. (eds) Cloud Infrastructures, Services, and IoT Systems for Smart Cities. IISSC 2017, CN4IoT 2017. LNICST, vol. 189, Springer, Cham, pp 188-198.

      [16] E. Pencheva, I. Atanasov, "An Approach to Design Radio Network Information Web Services for Mobile Edge Computing, " IEEE Global IoT Summit, Geneva, Switzerland, 2017, pp.1-6.

      [17] M. Luoto, “Managing Control Information in Autonomic Wireless Networking,” PhD thesis, University of Oulu, 2017, Available at: http://jultika.oulu.fi/files/isbn9789526216454.pdf

      [18] Yue Li. "Edge computing-based access network selection for heterogeneous wireless networks," Networking and Internet Architecture [cs.NI]. Université Rennes 1, 2017, PhD thesis.

      [19] H. Frank, W. Fuhrmann, B. Ghita, "Mobile Edge Computing: Requirements for Powerful Mobile Near Real-Time Applications, " Eleventh International Network Conference (INC), 2016, pp.63-66.

      [20] T. Q. Dinh, J. Q. Tang, D. T. La, Q. S. Quek, "Offloading in Mobile Edge Computing: Task Allocation and Computational Frequency Scaling, " IEEE Transactions on Communications,” vol.PP, no.99, pp.1-1, doi: 10.1109/TCOMM.2017.2699660

      [21] 3GPP TS 23.402 Technical Specification Group Services and System Aspects, Architecture enhancements for non-3GPP accesses, Release 15, v15.1.0, 2017.

      [22] ETSI GS MEC 012 Mobile Edge Computing (MEC); Radio Network Information API, v1.1.1, 2017

      [23] ETSI GS MEC 013 Mobile Edge Computing (MEC); Location API, v1.1.1, 2017

      [24] I. Atanasov, E. Pencheva, R. Dimova. "Toward open service access to policy and charging control in evolved packet system, " Telecommu­nications Systems, Springer, 2015, vol. 59, no. 3, pp. 365-380.

      [25] A. V. Kolomeets, N. V. Shabaldina, E. V. Darusenkova and N. V. Yevtushenko, "Using models of finite transition systems for checking web-service security," 2017 18th International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM), Erlagol, 2017, pp. 151-154.

      [26] G. Pola, C. Manes, A. van der Schaft and M. D. Di Benedetto, "Bisimulation Equivalence of Discrete-Time Stochastic Linear Control Systems," in IEEE Transactions on Automatic Control, 2017, vol. PP, no. 99, pp. 1-1.


 

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Article ID: 16341
 
DOI: 10.14419/ijet.v7i3.13.16341




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