Downlink scheduling for heterogeneous traffic with Gaussian weights in LTE-A
In Long Term Evolution-Advanced (LTE-A) networks, different aspects of radio resource scheduling such as fairness and Quality of Service (QoS) assurance must be provided for heterogeneous traffic, having different characteristics. However, the ever-growing number of mobile devices sharing the limite...
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2017
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/59495/ http://psasir.upm.edu.my/id/eprint/59495/1/Downlink%20scheduling%20for%20heterogeneous%20traffic%20with%20Gaussian%20weights%20in%20LTE-A.pdf |
| _version_ | 1848853937001594880 |
|---|---|
| author | Ferdosian, Nasim Othman, Mohamed Kweh, Yeah Lun Mohd Ali, Borhanuddin |
| author_facet | Ferdosian, Nasim Othman, Mohamed Kweh, Yeah Lun Mohd Ali, Borhanuddin |
| author_sort | Ferdosian, Nasim |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In Long Term Evolution-Advanced (LTE-A) networks, different aspects of radio resource scheduling such as fairness and Quality of Service (QoS) assurance must be provided for heterogeneous traffic, having different characteristics. However, the ever-growing number of mobile devices sharing the limited radio resources leads to the high cost and difficulty for information acquisition and computations in resource scheduling process. In the present paper, we propose a proportional knapsack scheduling approach for fairness- and QoS-aware downlink transmission of all different service classes in LTE-A networks. Moreover, we assess the computational cost created by the uncertainty and lack of information on user operations, and propose a Gaussian-based approach for ranking the bearers in presence of limited information and computational capabilities. This approach is particularly suitable for emerging next generation wireless networks to support a wide range of applications with huge number of users. The results indicate that significant advantages are achieved both in terms of QoS and fairness and that it is a scalable solution for overload states of the network. |
| first_indexed | 2025-11-15T11:01:54Z |
| format | Conference or Workshop Item |
| id | upm-59495 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:01:54Z |
| publishDate | 2017 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-594952018-03-07T06:26:42Z http://psasir.upm.edu.my/id/eprint/59495/ Downlink scheduling for heterogeneous traffic with Gaussian weights in LTE-A Ferdosian, Nasim Othman, Mohamed Kweh, Yeah Lun Mohd Ali, Borhanuddin In Long Term Evolution-Advanced (LTE-A) networks, different aspects of radio resource scheduling such as fairness and Quality of Service (QoS) assurance must be provided for heterogeneous traffic, having different characteristics. However, the ever-growing number of mobile devices sharing the limited radio resources leads to the high cost and difficulty for information acquisition and computations in resource scheduling process. In the present paper, we propose a proportional knapsack scheduling approach for fairness- and QoS-aware downlink transmission of all different service classes in LTE-A networks. Moreover, we assess the computational cost created by the uncertainty and lack of information on user operations, and propose a Gaussian-based approach for ranking the bearers in presence of limited information and computational capabilities. This approach is particularly suitable for emerging next generation wireless networks to support a wide range of applications with huge number of users. The results indicate that significant advantages are achieved both in terms of QoS and fairness and that it is a scalable solution for overload states of the network. IEEE 2017 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/59495/1/Downlink%20scheduling%20for%20heterogeneous%20traffic%20with%20Gaussian%20weights%20in%20LTE-A.pdf Ferdosian, Nasim and Othman, Mohamed and Kweh, Yeah Lun and Mohd Ali, Borhanuddin (2017) Downlink scheduling for heterogeneous traffic with Gaussian weights in LTE-A. In: 2017 IEEE International Conference on Communications (ICC), 21-25 May 2017, Paris, France. . 10.1109/ICC.2017.7996873 |
| spellingShingle | Ferdosian, Nasim Othman, Mohamed Kweh, Yeah Lun Mohd Ali, Borhanuddin Downlink scheduling for heterogeneous traffic with Gaussian weights in LTE-A |
| title | Downlink scheduling for heterogeneous traffic with Gaussian weights in LTE-A |
| title_full | Downlink scheduling for heterogeneous traffic with Gaussian weights in LTE-A |
| title_fullStr | Downlink scheduling for heterogeneous traffic with Gaussian weights in LTE-A |
| title_full_unstemmed | Downlink scheduling for heterogeneous traffic with Gaussian weights in LTE-A |
| title_short | Downlink scheduling for heterogeneous traffic with Gaussian weights in LTE-A |
| title_sort | downlink scheduling for heterogeneous traffic with gaussian weights in lte-a |
| url | http://psasir.upm.edu.my/id/eprint/59495/ http://psasir.upm.edu.my/id/eprint/59495/ http://psasir.upm.edu.my/id/eprint/59495/1/Downlink%20scheduling%20for%20heterogeneous%20traffic%20with%20Gaussian%20weights%20in%20LTE-A.pdf |