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An Intelligent SDN Framework Based on QoE Predictions for Load Balancing in C-RAN
Joint Authors
Medeiros, Gleison O.
Costa, João C. W. A.
Cardoso, Diego L.
Santos, Adam D. F.
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-18
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
The rapid growth of the Internet and technological advances are forcing mobile operators to increasingly invest in network infrastructures.
C-RAN and SDN are regarded as enabling technologies that can overcome the limitations faced by operators, by reducing costs, increasing scalability, and paving the way for the next generation of 5G cellular networks.
In this paper, an architectural solution based on SDN and computational intelligence is proposed for C-RAN, which can adjust BBU-RRH mapping through network load balancing rules by predicting subjective and objective QoE metrics for UHD video streaming.
The simulation results achieved gains between 59% and 129%, in scenarios without activating a new BBU and scenarios that involve activating a new BBU, respectively.
American Psychological Association (APA)
Medeiros, Gleison O.& Costa, João C. W. A.& Cardoso, Diego L.& Santos, Adam D. F.. 2020. An Intelligent SDN Framework Based on QoE Predictions for Load Balancing in C-RAN. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1214505
Modern Language Association (MLA)
Medeiros, Gleison O.…[et al.]. An Intelligent SDN Framework Based on QoE Predictions for Load Balancing in C-RAN. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1214505
American Medical Association (AMA)
Medeiros, Gleison O.& Costa, João C. W. A.& Cardoso, Diego L.& Santos, Adam D. F.. An Intelligent SDN Framework Based on QoE Predictions for Load Balancing in C-RAN. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1214505
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214505