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Code Division Multiple Access Channel Resources Allocation with Applied Token Sub-Queuing for Wireless Multi-Service Packet Switch Traffics
Lestariningati S.I.a, Agusdian A.b
a Computer Engineering, Universitas Komputer Indonesia, Indonesia
b School of Electrical Engineering and Informatics, Institute Teknologi Bandung, 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]© Published under licence by IOP Publishing Ltd.The purpose of this paper is to determine the method of Channel Resources Allocation of wireless Multi-Service Packet Switch CDMA based. As it has been known, CDMA cell has a fluctuated capacity mainly due to its varying co-channel interference. The simulation is performed to shows the characteristic for Multi-Service Packet Switch traffic such combine CBR, VBR, and ABR users is applied on CDMA system. The idea is to deliver the traffics when capacity increase from assigned minimum value, by implementing Proposed Token Sub-Queue and Multi-Service Traffic Channel Resources Algorithm. In the first time, this method is aim for non-real time traffic such ABR traffic, but the simulation shows that it can be applied further to the real-time connection by prioritizing delaying the drop calls of certain agreed QoS values to re-seize into services. The simulation of proposed method shows better CDMA channel or bandwidth utilization, and suppresses drop call probability for real-time traffic.[/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]Band-width utilization,Capacity increase,Channel resource,Drop call probability,Non-real time traffics,Packet switch traffic,Real time traffics,Real-time connections[/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][/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/10.1088/1757-899X/662/2/022130[/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]