| Summary: | 碩士 === 國立臺北大學 === 資訊管理研究所 === 107 === The advent of 5G represents a significant increase in the transmission rate and the number of devices connected to the mobile network. It will improve the download rate of today's network environment at peak time. However, if the download rate is increased but the schedule of connected devices aren’t properly managed, it could still lead to poor transmission quality. In particular, when the media buffers of the devices are inconsistent,and the devices compete for transmission resources, devices with lower media buffers may occur playback delay, hence result in the performance reduction of overall system.
Based on the architecture of Mobile Edge Computing, this paper designs a data transfer algorithm and cache replacement strategy for mobile devices and base stations. The core idea of the research is to cache the audio and video data required by each device in the near-end base station. Therefore, device can extract data from nearby base station, eliminate the time and bandwidth consuming while connecting to the cloud system. By applying the concept of multirate transmission of base station, determing appropriate transfer timing according to the distance between device and base station and the media buffer capacity of the device.
This study proposes three algorithms (demand-oriented, transmission-oriented and priority-oriented), consider device or base station as the main subject for scheduling research, and analyze the performance of each algorithm by applying in different scenarios. According to the simulation result, the priority-oriented algorithm has better performance, its feature is that devices with critical media buffers will have priority to use highest transmission rate. This algorithm balances each data transmission requirement of the device, and ensure the system resources can be preferentially allocated to the most needed devices.
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