مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

333
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Performance Analysis of the Network Selection Algorithms in 5G Heterogeneous Wireless Networks

Pages

  963-975

Abstract

vertical handover is the essential feature of the next generation heterogeneous wireless networks. network selection among accessible candidates is the most critical step in vertical handover procedure. Although various algorithms for network selection have been proposed, due to different approaches and diversity of parameters corresponding to this complicated problem, no unified benchmark or global indicator exists to evaluate the performances. In this paper, we define a global performance indicator (GPI) which comprehensively considers all subscriber satisfaction factors to assess users’ quality of experience (QoE). Our method is inspired by “ Analytic Hierarchical Process” (AHP) and systematically utilizes both customer and network side parameters. This idea was led to propose a novel “ automatic context-aware network selection” (ACANS) algorithm. ACANS is a “ network-assisted” , “ user centric” approach which dynamically and automatically affects customer context in the decision of the best network. A practical simulation platform evaluates and compares ACANS to well-known network selection algorithms such as SAW (Simple Additive Weighting), MEW (Multiplicative Exponential Weighting), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and TRUST (TRigger-based aUtomatic Subjective weighTing). Simulation results show that the proposed algorithm is compatible to customer preference and has superior performance in “ No. of handovers” , “ user’ s volume of download” , “ consumed energy” and “ service cost” .

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    Honarvar, Reza, & Zolghadr Asli, Alireza. (2020). Performance Analysis of the Network Selection Algorithms in 5G Heterogeneous Wireless Networks. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 50(2 (92) ), 963-975. SID. https://sid.ir/paper/385900/en

    Vancouver: Copy

    Honarvar Reza, Zolghadr Asli Alireza. Performance Analysis of the Network Selection Algorithms in 5G Heterogeneous Wireless Networks. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2020;50(2 (92) ):963-975. Available from: https://sid.ir/paper/385900/en

    IEEE: Copy

    Reza Honarvar, and Alireza Zolghadr Asli, “Performance Analysis of the Network Selection Algorithms in 5G Heterogeneous Wireless Networks,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 50, no. 2 (92) , pp. 963–975, 2020, [Online]. Available: https://sid.ir/paper/385900/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button