DocumentCode :
608102
Title :
A QoS-Aware Uplink Scheduling Paradigm for LTE Networks
Author :
Safa, H. ; El-Hajj, Wassim ; Tohme, K.
Author_Institution :
Dept. of Comput. Sci., American Univ. of Beirut, Beirut, Lebanon
fYear :
2013
fDate :
25-28 March 2013
Firstpage :
1097
Lastpage :
1104
Abstract :
LTE uplink frequency scheduling algorithms have neglected the user equipment´s (UE) QoS requirements, relying only on the time domain to provide such requirements when creating the allocation matrix for the next transmission time interval. Two time domain paradigms exist for creating the resource allocation matrix: channel-dependent and proportional fairness. The channel dependent paradigm considers mainly the channel quality of UEs, allowing for users with high channel quality to get assigned most resources. The proportional fairness paradigm allocates resources to users based on the ratio of their channel condition over their lifelong service rate, allowing for users with low channel conditions to get some resources, but fewer than those with better channel conditions. Even though the proportional fairness paradigm´s main focus is to achieve high system throughput without starving any user, it does not account for QoS requirements in many scenarios especially when UEs with high priority data pending for transmission have worst channel conditions than those with lower priority data. In this paper we propose a QoS-aware resource allocation paradigm for LTE uplink scheduling that gives more advantage to UEs having high priority data, while not starving other users. The proposed approach is scalable and mobility aware where the dynamic nature of the network is taken into account while devising the algorithm. When simulated using NS3, the proposed algorithm produced very promising results and outperformed the state-of-the-art approaches presented in literature.
Keywords :
Long Term Evolution; quality of service; resource allocation; scheduling; wireless channels; LTE networks; LTE uplink frequency scheduling algorithms; Long Term Evolution; QoS-aware resource allocation paradigm; QoS-aware uplink scheduling; channel dependent paradigm; proportional fairness paradigm; quality of service; resource allocation matrix; user equipment; Delays; Quality of service; Resource management; Scheduling algorithms; Throughput; Uplink; LTE; QoS; resource allocation; scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2013 IEEE 27th International Conference on
Conference_Location :
Barcelona
ISSN :
1550-445X
Print_ISBN :
978-1-4673-5550-6
Electronic_ISBN :
1550-445X
Type :
conf
DOI :
10.1109/AINA.2013.38
Filename :
6531875
Link To Document :
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