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Open AccessArticle

Performance Model for Video Service in 5G Networks

1
Department of Electrical and Computer Engineering, University of Massachusetts, Lowell, MA 01854, USA
2
Graduate School of Science and Engineering, Altinbas University, 34217 Istanbul, Turkey
3
Q Factor Communications, 255 Bear Hill Road, Waltham, MA 02451, USA
*
Author to whom correspondence should be addressed.
Future Internet 2020, 12(6), 99; https://doi.org/10.3390/fi12060099
Received: 25 April 2020 / Revised: 4 June 2020 / Accepted: 4 June 2020 / Published: 8 June 2020
(This article belongs to the Special Issue Future Networks: Latest Trends and Developments)
Network slicing allows operators to sell customized slices to various tenants at different prices. To provide better-performing and cost-efficient services, network slicing is looking to intelligent resource management approaches to be aligned to users’ activities per slice. In this article, we propose a radio access network (RAN) slicing design methodology for quality of service (QoS) provisioning, for differentiated services in a 5G network. A performance model is constructed for each service using machine learning (ML)-based approaches, optimized using interference coordination approaches, and used to facilitate service level agreement (SLA) mapping to the radio resource. The optimal bandwidth allocation is dynamically adjusted based on instantaneous network load conditions. We investigate the application of machine learning in solving the radio resource slicing problem and demonstrate the advantage of machine learning through extensive simulations. A case study is presented to demonstrate the effectiveness of the proposed radio resource slicing approach. View Full-Text
Keywords: interference coordination (IC); network slicing; 5G; quality of service (QoS); massive multiple input and multiple output (MIMO) interference coordination (IC); network slicing; 5G; quality of service (QoS); massive multiple input and multiple output (MIMO)
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Wang, J.; Weitzen, J.; Bayat, O.; Sevindik, V.; Li, M. Performance Model for Video Service in 5G Networks. Future Internet 2020, 12, 99.

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