Please use this identifier to cite or link to this item: http://dlib.scu.ac.ir/handle/Hannan/158860
Title: QoE-Based Flow Admission Control in Small Cell Networks
Authors: Adlen Ksentini;Tarik Taleb;Khaled B. Letaif
subject: Admission Control|Markov Decision Process|Small cells
Year: 2016
Publisher: IEEE
Abstract: An important requirement on 5G mobile systems is to accommodate massive numbers of wireless devices and users. Heterogeneous networks are expected to play a crucial role in meeting this requirement. In this vein, small cells are expected to become an integral part of these heterogeneous networks. However, their success would not last longer unless they offer services at a quality similar to that currently ensured by the macro cellular networks. Mitigating congestion of the backhaul links to small cell networks is a crucial factor. With this regard, this paper proposes an admission control that makes decisions to redirect IP flows, fully or partially, to the macro or small cell networks, or to reject the incoming flows. The decision mechanism is based on predictions of users' Quality of Experience (QoE). It is modeled as a Markov decision process (MDP), whereby the aim is to derive the optimal policy (i.e. reject or accept flows in the macro or the small cell) that maximizes users' QoE. Through computer simulations, we evaluate the performance of the proposed admission control and compare it against a random policy decision. We also numerically illustrate its optimal policies in different scenarios under different traffic load conditions.
Description: 
URI: http://localhost/handle/Hannan/158860
ISSN: 1536-1276
volume: 15
issue: 4
More Information: 2474
2483
Appears in Collections:2016

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Title: QoE-Based Flow Admission Control in Small Cell Networks
Authors: Adlen Ksentini;Tarik Taleb;Khaled B. Letaif
subject: Admission Control|Markov Decision Process|Small cells
Year: 2016
Publisher: IEEE
Abstract: An important requirement on 5G mobile systems is to accommodate massive numbers of wireless devices and users. Heterogeneous networks are expected to play a crucial role in meeting this requirement. In this vein, small cells are expected to become an integral part of these heterogeneous networks. However, their success would not last longer unless they offer services at a quality similar to that currently ensured by the macro cellular networks. Mitigating congestion of the backhaul links to small cell networks is a crucial factor. With this regard, this paper proposes an admission control that makes decisions to redirect IP flows, fully or partially, to the macro or small cell networks, or to reject the incoming flows. The decision mechanism is based on predictions of users' Quality of Experience (QoE). It is modeled as a Markov decision process (MDP), whereby the aim is to derive the optimal policy (i.e. reject or accept flows in the macro or the small cell) that maximizes users' QoE. Through computer simulations, we evaluate the performance of the proposed admission control and compare it against a random policy decision. We also numerically illustrate its optimal policies in different scenarios under different traffic load conditions.
Description: 
URI: http://localhost/handle/Hannan/158860
ISSN: 1536-1276
volume: 15
issue: 4
More Information: 2474
2483
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7339724.pdf1.15 MBAdobe PDFThumbnail
Preview File
Title: QoE-Based Flow Admission Control in Small Cell Networks
Authors: Adlen Ksentini;Tarik Taleb;Khaled B. Letaif
subject: Admission Control|Markov Decision Process|Small cells
Year: 2016
Publisher: IEEE
Abstract: An important requirement on 5G mobile systems is to accommodate massive numbers of wireless devices and users. Heterogeneous networks are expected to play a crucial role in meeting this requirement. In this vein, small cells are expected to become an integral part of these heterogeneous networks. However, their success would not last longer unless they offer services at a quality similar to that currently ensured by the macro cellular networks. Mitigating congestion of the backhaul links to small cell networks is a crucial factor. With this regard, this paper proposes an admission control that makes decisions to redirect IP flows, fully or partially, to the macro or small cell networks, or to reject the incoming flows. The decision mechanism is based on predictions of users' Quality of Experience (QoE). It is modeled as a Markov decision process (MDP), whereby the aim is to derive the optimal policy (i.e. reject or accept flows in the macro or the small cell) that maximizes users' QoE. Through computer simulations, we evaluate the performance of the proposed admission control and compare it against a random policy decision. We also numerically illustrate its optimal policies in different scenarios under different traffic load conditions.
Description: 
URI: http://localhost/handle/Hannan/158860
ISSN: 1536-1276
volume: 15
issue: 4
More Information: 2474
2483
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7339724.pdf1.15 MBAdobe PDFThumbnail
Preview File