%0 Conference Paper %1 7277439 %A Guillemin, F. %A Elayoubi, S.E. %A Robert, P. %A Fricker, C. %A Sericola, B. %B Teletraffic Congress (ITC 27), 2015 27th International %D 2015 %K Computational_modeling Gain Mathematical_model QoE-aware_radio_resource_allocation Resource_management Round_robin Tin cellular_networks cellular_radio fluid_limit_analysis global_reneging_rate_minimization impatience_control itc itc27 minimisation multiclass_processor_sharing_system performance_gains probability quality-of-experience_indicator quality_of_experience radio_resource_allocation_control_scheme reneging_probability_computation resource_allocation scheduler_parameter user_QoE_enhancement α-fair_scheduling_framework %P 159-167 %R 10.1109/ITC.2015.26 %T Controlling Impatience in Cellular Networks Using QoE-aware Radio Resource Allocation %U https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc27/7277439.pdf?inline=true %X We consider in this paper an important Quality of Experience (QoE) indicator in cellular networks that is reneging of users due to impatience. We specifically consider a cell under heavy load conditions, modeled as a multiclass Processor Sharing system, and compute the reneging probability by using a fluid limit analysis. In order to enhance the user QoE, we propose a radio resource allocation control scheme that minimizes the global reneging rates. This control scheme is based on the a-fair scheduling framework and adapts the scheduler parameter depending on the traffic load. While the proposed scheme is simple, our results show that it achieves important performance gains.

@inproceedings{7277439, abstract = {We consider in this paper an important Quality of Experience (QoE) indicator in cellular networks that is reneging of users due to impatience. We specifically consider a cell under heavy load conditions, modeled as a multiclass Processor Sharing system, and compute the reneging probability by using a fluid limit analysis. In order to enhance the user QoE, we propose a radio resource allocation control scheme that minimizes the global reneging rates. This control scheme is based on the a-fair scheduling framework and adapts the scheduler parameter depending on the traffic load. While the proposed scheme is simple, our results show that it achieves important performance gains.}, added-at = {2016-07-11T18:20:14.000+0200}, author = {Guillemin, F. and Elayoubi, S.E. and Robert, P. and Fricker, C. and Sericola, B.}, biburl = {https://www.bibsonomy.org/bibtex/2f13687fadfa1183828dac9b9774ea8b8/itc}, booktitle = {Teletraffic Congress (ITC 27), 2015 27th International}, doi = {10.1109/ITC.2015.26}, interhash = {9600a13ada4e27d8751454536df66031}, intrahash = {f13687fadfa1183828dac9b9774ea8b8}, keywords = {Computational_modeling Gain Mathematical_model QoE-aware_radio_resource_allocation Resource_management Round_robin Tin cellular_networks cellular_radio fluid_limit_analysis global_reneging_rate_minimization impatience_control itc itc27 minimisation multiclass_processor_sharing_system performance_gains probability quality-of-experience_indicator quality_of_experience radio_resource_allocation_control_scheme reneging_probability_computation resource_allocation scheduler_parameter user_QoE_enhancement α-fair_scheduling_framework}, month = {Sept}, pages = {159-167}, timestamp = {2020-04-30T18:18:14.000+0200}, title = {Controlling Impatience in Cellular Networks Using QoE-aware Radio Resource Allocation}, url = {https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc27/7277439.pdf?inline=true}, year = 2015 }