QoE-driven cross-layer downlink scheduling for heterogeneous traffics over 4G 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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Springer
2017
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/62896/ |
| _version_ | 1848854686762795008 |
|---|---|
| author | Nasimi, Meysam Hashim, Fazirulhisyam Sali, Aduwati Sahbudin, Ratna Kalos Zakiah |
| author_facet | Nasimi, Meysam Hashim, Fazirulhisyam Sali, Aduwati Sahbudin, Ratna Kalos Zakiah |
| 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, 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 QoS, or also known as Quality of Experience (QoE). Here, Mean Opinion Score 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. |
| first_indexed | 2025-11-15T11:13:49Z |
| format | Article |
| id | upm-62896 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T11:13:49Z |
| publishDate | 2017 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-628962022-11-25T00:20:36Z http://psasir.upm.edu.my/id/eprint/62896/ QoE-driven cross-layer downlink scheduling for heterogeneous traffics over 4G networks Nasimi, Meysam Hashim, Fazirulhisyam Sali, Aduwati Sahbudin, Ratna Kalos Zakiah 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, 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 QoS, or also known as Quality of Experience (QoE). Here, Mean Opinion Score 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. Springer 2017-05 Article PeerReviewed Nasimi, Meysam and Hashim, Fazirulhisyam and Sali, Aduwati and Sahbudin, Ratna Kalos Zakiah (2017) QoE-driven cross-layer downlink scheduling for heterogeneous traffics over 4G networks. Wireless Personal Communications, 96 (3). 4755 - 4780. ISSN 0929-6212; ESSN: 1572-834X https://link.springer.com/article/10.1007/s11277-017-4416-8 10.1007/s11277-017-4416-8 |
| spellingShingle | Nasimi, Meysam Hashim, Fazirulhisyam Sali, Aduwati Sahbudin, Ratna Kalos Zakiah QoE-driven cross-layer downlink scheduling for heterogeneous traffics over 4G networks |
| title | QoE-driven cross-layer downlink scheduling for heterogeneous traffics over 4G networks |
| title_full | QoE-driven cross-layer downlink scheduling for heterogeneous traffics over 4G networks |
| title_fullStr | QoE-driven cross-layer downlink scheduling for heterogeneous traffics over 4G networks |
| title_full_unstemmed | QoE-driven cross-layer downlink scheduling for heterogeneous traffics over 4G networks |
| title_short | QoE-driven cross-layer downlink scheduling for heterogeneous traffics over 4G networks |
| title_sort | qoe-driven cross-layer downlink scheduling for heterogeneous traffics over 4g networks |
| url | http://psasir.upm.edu.my/id/eprint/62896/ http://psasir.upm.edu.my/id/eprint/62896/ http://psasir.upm.edu.my/id/eprint/62896/ |