QoE-oriented cross-layer downlink scheduling for heterogeneous traffics in LTE networks

With the soaring demands for high speed data communication, as well as transmission of various types of services with different requirements over cellular networks, having a decent radio resource management is considered vital in Long Term Evolution (LTE) system. In particular, satisfying the Qualit...

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Main Authors: Nasimi, Meysam, Kousha, Mohammad, Hashim, Fazirulhisyam
Format: Conference or Workshop Item
Language:English
Published: IEEE 2013
Online Access:http://psasir.upm.edu.my/id/eprint/69325/
http://psasir.upm.edu.my/id/eprint/69325/1/QoE-oriented%20cross-layer%20downlink%20scheduling%20for%20heterogeneous%20traffics%20in%20LTE%20networks.pdf
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author Nasimi, Meysam
Kousha, Mohammad
Hashim, Fazirulhisyam
author_facet Nasimi, Meysam
Kousha, Mohammad
Hashim, Fazirulhisyam
author_sort Nasimi, Meysam
building UPM Institutional Repository
collection Online Access
description With the soaring demands for high speed data communication, as well as transmission of various types of services with different requirements over cellular networks, having a decent radio resource management is considered vital in Long Term Evolution (LTE) system. In particular, satisfying the Quality of Service (QoS) requirements of different applications is one of the key challenges of radio resource management that needs to be dealt by the LTE system. In this paper, we propose a cross-layer design scheme that jointly optimizes three different layers of wireless protocol stack, namely application, Medium Access Control (MAC), and physical layer. The cross-layer optimization framework provides efficient allocation of wireless resources across different types of applications (i.e., real-time and non real-time) run by different users to maximize network resource utilization and user-perceived quality of service, or also known as Quality of Experience (QoE). Here, Mean Opinion Score (MOS) is used as a unified QoE metric that indicates the user-perceived quality for real-time or multimedia services notably video applications. Along with multimedia services, the proposed framework also takes care of non-real-time traffic by ensuring certain level of fairness. Our simulation, applied to scenarios where users simultaneously run different types of applications, confirms that the proposed QoE-oriented cross-layer framework leads to significant improvement in terms of maximizing user-perceived quality as well as maintaining fairness among users.
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institution Universiti Putra Malaysia
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language English
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publishDate 2013
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spelling upm-693252019-07-02T07:58:57Z http://psasir.upm.edu.my/id/eprint/69325/ QoE-oriented cross-layer downlink scheduling for heterogeneous traffics in LTE networks Nasimi, Meysam Kousha, Mohammad Hashim, Fazirulhisyam With the soaring demands for high speed data communication, as well as transmission of various types of services with different requirements over cellular networks, having a decent radio resource management is considered vital in Long Term Evolution (LTE) system. In particular, satisfying the Quality of Service (QoS) requirements of different applications is one of the key challenges of radio resource management that needs to be dealt by the LTE system. In this paper, we propose a cross-layer design scheme that jointly optimizes three different layers of wireless protocol stack, namely application, Medium Access Control (MAC), and physical layer. The cross-layer optimization framework provides efficient allocation of wireless resources across different types of applications (i.e., real-time and non real-time) run by different users to maximize network resource utilization and user-perceived quality of service, or also known as Quality of Experience (QoE). Here, Mean Opinion Score (MOS) is used as a unified QoE metric that indicates the user-perceived quality for real-time or multimedia services notably video applications. Along with multimedia services, the proposed framework also takes care of non-real-time traffic by ensuring certain level of fairness. Our simulation, applied to scenarios where users simultaneously run different types of applications, confirms that the proposed QoE-oriented cross-layer framework leads to significant improvement in terms of maximizing user-perceived quality as well as maintaining fairness among users. IEEE 2013 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69325/1/QoE-oriented%20cross-layer%20downlink%20scheduling%20for%20heterogeneous%20traffics%20in%20LTE%20networks.pdf Nasimi, Meysam and Kousha, Mohammad and Hashim, Fazirulhisyam (2013) QoE-oriented cross-layer downlink scheduling for heterogeneous traffics in LTE networks. In: 2013 IEEE 11th Malaysia International Conference on Communications (MICC), 26-28 Nov. 2013, Kuala Lumpur, Malaysia. (pp. 292-297). 10.1109/MICC.2013.6805842
spellingShingle Nasimi, Meysam
Kousha, Mohammad
Hashim, Fazirulhisyam
QoE-oriented cross-layer downlink scheduling for heterogeneous traffics in LTE networks
title QoE-oriented cross-layer downlink scheduling for heterogeneous traffics in LTE networks
title_full QoE-oriented cross-layer downlink scheduling for heterogeneous traffics in LTE networks
title_fullStr QoE-oriented cross-layer downlink scheduling for heterogeneous traffics in LTE networks
title_full_unstemmed QoE-oriented cross-layer downlink scheduling for heterogeneous traffics in LTE networks
title_short QoE-oriented cross-layer downlink scheduling for heterogeneous traffics in LTE networks
title_sort qoe-oriented cross-layer downlink scheduling for heterogeneous traffics in lte networks
url http://psasir.upm.edu.my/id/eprint/69325/
http://psasir.upm.edu.my/id/eprint/69325/
http://psasir.upm.edu.my/id/eprint/69325/1/QoE-oriented%20cross-layer%20downlink%20scheduling%20for%20heterogeneous%20traffics%20in%20LTE%20networks.pdf