tailieunhanh - Quality of Service and Resource Allocation in WiMAXFig Part 14

Tham khảo tài liệu 'quality of service and resource allocation in wimaxfig part 14', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 316 Quality of Service and Resource Allocation in WiMAX is a block diagram of an example mobile terminal including both wireless and video parts. Interleaving integrity and down sampling are mostly done in the Video processor with some assistant from MSP Micro Processor for network layer related process . packet header filtering to distinguish other sensor signal from the video signal and the third CPU for physical layer process such as power amplifier saturation warning. Deinterleaving security and up sampling are done in Personal Computer for current product. And will be in the video processor or Field Programmable Gate Array FPGA chip in future product. 6. Conclusion In this work we were able to create an effective public safety WiMAX Ad-hoc video simulation platform with which other researchers can develop and test various public safety applications. This is done by designing our video model to work as individual sub-streams mini-Pareto model matched with real trace from the actual car-to-car public safety camera. The platform was built using the OPNET simulation tool which allowed for the integration of all models - developed from statistically analysing a live video trace real world map trajectory simulations and provided a complete tier of communication layers for proper performance analysis. This methodology does not limit itself to symmetrical wireless ad-hoc video traffic other situation applies as well. Integrating a VANET mobility model into our platform created challenges for us. So far due to the limitation of the OPNET library available we have to run mobility model first before integrating the results into our communication model. It would have been best to run the simulation model and the mobility model concurrently to allow the wireless communication affect the mobility of vehicles so that more quick results can be obtained. It is observed on the field that the scenario in which the application is deployed agrees with the performance .

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