Forwarding Policy under Cloud Radio Access Network with Mobile Edge Computing Architecture

• Main Authors: Dian-Yu Lin, 林典育
• Other Authors: 魏宏宇
• Format: Others
• Language: en_US
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/8yt6v9

碩士 === 國立臺灣大學 === 電機工程學研究所 === 105 === With the arising of the low-latency applications, we need a new mobile network architecture to support this kind of applications. The cloud radio access network (C-RAN) with mobile edge computing (MEC) architecture can provide the low-latency attribute. The combination of the baseband processing and the MEC application can let us use the computing resource more efficiently. The foundation of combining the baseband processing and the MEC application is the general purpose processor (GPP). In this paper, We propose the mathematical model to analyze the GPP platform. First, we model the MEC stage by comparing the first-in-first-out (FIFO), processor-sharing (PS) and generalized-processor-sharing (GPS). Next, we take the baseband stage into our consideration and analyze the resource allocation between the baseband processing and the MEC application. In addition to the mathematical model and the simulation result, we propose the forwarding policy algorithm to dynamically arrange the data path according to the current traffic. The algorithm is implemented on the real testbed. The demonstration shows that we can control the waiting time corresponding to the application requirement.