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Backhaul-aware scheduling for WiMAX femtocell with limited backhaul capacity
Hariyanto H.a, Noviyanti K.W.a, Widiawan A.K.a, Kurniawan A.b, Hendrawanb
a Wireless Network Laboratory, R and D Centre of TELKOM, Indonesia
b School of Electrical Engineering and Informatics, Bandung Institute of Technology (ITB), Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]A femtocell is designed to use a shared broadband IP link. A bottleneck may be occurred due to the limitation of provisioned bandwidth and the existence of background traffic especially in access network. The bottleneck will certainly affect the service performance of the femtocell access point (FAP), which would influence end user experience. In order to maintain QoS requirement against backhaul quality fluctuation, a FAP should be equipped with a QoS management capability which is aware of backhaul condition. By applying backhaul aware admission control and scheduling, FAP can determine whether or not the backhaul bandwidth capacity is able to support a new service session. FAP will know the backhaul bandwidth by implementing bandwidth estimation. When the congestion occurred, FAP will maintain the existing flows and accept sessions with higher priority services (i.e realtime) over lower priority traffic (ie. non-realtime), based on load demand of each service flows. © 2011 IEEE.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Access network,Access points,Background traffic,backhaul,Bandwidth capacity,Bandwidth estimation,End-user experience,Load demand,New services,Priority service,QOS management,QoS requirements,Quality fluctuations,Real time,Service flows,Service performance[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]backhaul,femtocell,scheduling[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/TENCON.2011.6129013[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]