Automated Load Balancing and Capacity Enhancing in Future SON/5G Network

碩士 === 國立臺灣科技大學 === 電機工程系 === 104 === The average global connection speed of network has been increasing year-over-year to a new high. According to Cisco’s Future Mobile Report, the demands of the mobile world are growing faster and faster, with data traffic increasing by 80 percent in the last year...

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Bibliographic Details
Main Authors: Chia-Ju, Lin, 林佳儒
Other Authors: jiann-liang Chen
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/g6735f
Description
Summary:碩士 === 國立臺灣科技大學 === 電機工程系 === 104 === The average global connection speed of network has been increasing year-over-year to a new high. According to Cisco’s Future Mobile Report, the demands of the mobile world are growing faster and faster, with data traffic increasing by 80 percent in the last year. The upcoming 4G + network and 5G network is going to improve the industry applications. Meanwhile, mobile communication operators will be able to make better utilization of their spectrum assets, provide high-speed data communication services, and increase network capacity. Traditional network parameters are manually set or adjusted by the network management system, so there is still a lot of room for improvement in the operational speed. For example, professional Planning Tool, Scanning Tool, or time-consuming road measurements are needed when erecting the parameters of base stations. Self-Organizing Networks (SON) is an automated mechanism that is able to simplify the overall operational tasks and improve the operational efficiency. In the future 5G networks, especially in the congested urban areas, the difficulties of network management and load balancing will rise. The proposed novel SON management mechanism in this study is able to influence the total network behavior by arranging the SON function parameters and adjusting the configuration of devices, user equipment and small cell. The simulation results show that the throughput after applying the proposed mechanism has increase 4% of the original throughput in average, and the greatest improvement can increase 4.5% of the the original throughput.