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Resource Allocation Algorithm in Broadband Satellite Networks

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Tutor: GuoQing
School: Harbin Institute of Technology
Course: Information and Communication Engineering
Keywords: satellite communication,resource allocation algorithm,TDMA,delay equalization al
CLC: TN927.2
Type: Master's thesis
Year:  2006
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With the rapid development of satellite network, the demand of data traffic such as file transfer, electronic mail and web browsing will exceed the traditional voice traffic because of the rapid increase demand of multimedia traffic. The concern problem is how to guarantee the QoS (Quality of Service) of the high priority traffic while to reduce the delay of data traffic.Some common satellite resource allocation algorithms are analyzed in this paper, especially the WRR (Weighted Round Robin) algorithm based on the flux estimate which can guarantee the QoS of VBR (Variable Bit Rate). But all of these algorithms in literatures concentrate in how to improve the QoS of high priority traffic sacrificed the delay of UBR (Unspecified Bit Rate) traffic. Therefore this paper proposes the Delay Equalization algorithm which can both guarantee the QoS of high priority traffic and effectively reduce the delay of UBR traffic in broadband satellite network. It is based on the prediction and equalization the delay of VBR or ABR traffic so that the saved slots can be allocated to UBR traffic. The approach of dynamic alternation slots between VBR and UBR traffic can improve the mean TDMA frame utilization while reducing the delay of UBR traffic.The paper particularly analyzed the satellite resource management structure, satellite connect admission control and MAC (Media Access Control) protocol. Then the proposed Delay Equalization algorithm was applied in this satellite network. Because most of the complexity that is added to the satellite network is confined to the ground segment and parts in the satellite remain very simple, the algorithm minimally affects the design of the on-board processing.Finally, simulation shows the performance of the mean delay, the mean buffer, and frame utilization compared with the WRR algorithm. The results reveal that the resource algorithm has capacity which not only to guarantee the QoS of VBR or ABR but also to reduce the end-to-end delay of UBR.
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