Optimal solution to the fractional knapsack problem for LTE overload-state scheduling
The growing variety and consumption of the mobile services throughout the Long Term Evolution (LTE) mobile networks lead to various challenging issues in radio resource scheduling. One of the main challenges in LTE resource management is how to allocate the scare available bandwidth, especially in o...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/59363/ http://psasir.upm.edu.my/id/eprint/59363/1/Optimal%20solution%20to%20the%20fractional%20knapsack%20problem%20for%20LTE%20overload-state%20scheduling.pdf |
| _version_ | 1848853899902976000 |
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| 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 | The growing variety and consumption of the mobile services throughout the Long Term Evolution (LTE) mobile networks lead to various challenging issues in radio resource scheduling. One of the main challenges in LTE resource management is how to allocate the scare available bandwidth, especially in overload states of the network, to the services which have different characteristics and quality requirements. In this paper, we study the optimal solution to LTE downlink resource allocation problem which has already been cast as the fractional knapsack optimization problem. The performance of this solution is investigated by a wide range of demands from different classes of services, over sequences of alternating overload and normal states of the network. The simulation results demonstrate that the proposed method supplies diverse quality requirements of different service classes in compromise with data rate enhancement. System performance has been evaluated in terms of loss, delay and throughput in comparison with reference algorithms. |
| first_indexed | 2025-11-15T11:01:19Z |
| format | Conference or Workshop Item |
| id | upm-59363 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:01:19Z |
| publishDate | 2016 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-593632018-03-01T00:19:07Z http://psasir.upm.edu.my/id/eprint/59363/ Optimal solution to the fractional knapsack problem for LTE overload-state scheduling Ferdosian, Nasim Othman, Mohamed Kweh, Yeah Lun Mohd Ali, Borhanuddin The growing variety and consumption of the mobile services throughout the Long Term Evolution (LTE) mobile networks lead to various challenging issues in radio resource scheduling. One of the main challenges in LTE resource management is how to allocate the scare available bandwidth, especially in overload states of the network, to the services which have different characteristics and quality requirements. In this paper, we study the optimal solution to LTE downlink resource allocation problem which has already been cast as the fractional knapsack optimization problem. The performance of this solution is investigated by a wide range of demands from different classes of services, over sequences of alternating overload and normal states of the network. The simulation results demonstrate that the proposed method supplies diverse quality requirements of different service classes in compromise with data rate enhancement. System performance has been evaluated in terms of loss, delay and throughput in comparison with reference algorithms. IEEE 2016 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/59363/1/Optimal%20solution%20to%20the%20fractional%20knapsack%20problem%20for%20LTE%20overload-state%20scheduling.pdf Ferdosian, Nasim and Othman, Mohamed and Kweh, Yeah Lun and Mohd Ali, Borhanuddin (2016) Optimal solution to the fractional knapsack problem for LTE overload-state scheduling. In: 2016 IEEE 3rd International Symposium on Telecommunication Technologies (ISTT), 28-30 Nov. 2016, Kuala Lumpur, Malaysia. (pp. 97-102). http://ieeexplore.ieee.org/document/7918092/?reload=true 10.1109/ISTT.2016.7918092 |
| spellingShingle | Ferdosian, Nasim Othman, Mohamed Kweh, Yeah Lun Mohd Ali, Borhanuddin Optimal solution to the fractional knapsack problem for LTE overload-state scheduling |
| title | Optimal solution to the fractional knapsack problem for LTE overload-state scheduling |
| title_full | Optimal solution to the fractional knapsack problem for LTE overload-state scheduling |
| title_fullStr | Optimal solution to the fractional knapsack problem for LTE overload-state scheduling |
| title_full_unstemmed | Optimal solution to the fractional knapsack problem for LTE overload-state scheduling |
| title_short | Optimal solution to the fractional knapsack problem for LTE overload-state scheduling |
| title_sort | optimal solution to the fractional knapsack problem for lte overload-state scheduling |
| url | http://psasir.upm.edu.my/id/eprint/59363/ http://psasir.upm.edu.my/id/eprint/59363/ http://psasir.upm.edu.my/id/eprint/59363/ http://psasir.upm.edu.my/id/eprint/59363/1/Optimal%20solution%20to%20the%20fractional%20knapsack%20problem%20for%20LTE%20overload-state%20scheduling.pdf |