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Research On Access Control And Power Control In 5G Integrated Networks

Posted on:2018-01-14Degree:MasterType:Thesis
Country:ChinaCandidate:J WuFull Text:PDF
GTID:2428330596989206Subject:Electronics and Communications Engineering
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With the advent of mobile Internet,the number of wireless terminals,such as smart phones and tablet computers,has been growing rapidly.Obtaining real time network information has become the major demand for users in movement state during people's daily lives.This trend of gradual transition from traditional voice services to streaming media services has led to the exponential growth of mobile data services and has brought new challenges to the development of mobile communication technologies.How to provide a full-coverage network services to achieve network expansion becomes a hot topic in the industry.In order to solve this problem,the use of unlicensed frequency bands was proposed by 3GPP in Release 10.Improving small cells density to achieve network expansion also received much attention.At present,the most commonly used technology in the unlicensed band is WiFi.In next generation of 5G standard,the use of unlicensed bands to enhance the service quality of the LTE system becomes a trend.LTE technology and WiFi technology will continue to integrate,so as to give users the best experience.Currently,LWA,LTE-U / LTE-LAA are the choices of integrating these two wireless technologies.The market will decide final choice.For this LTE/ WiFi wireless network convergence trends,how to ensure that users connect to the network anytime,anywhere to protect a good user experience and excellent network performance is critical.At present,there are already some researches on the streaming efficiency and interference management of LTE / WiFi converged networks.However,few studies have been done on the combination of user characteristics.For this LTE / WiFi wireless network convergence trends,it is essential to ensure that users can connect to the network anytime and anywhere.We also need to fulfil good experience and network performance.In this paper,we introduce the LTE network and WiFi wireless network system architecture,technical characteristics generally.In addition,based on the network characteristics,service features and user characteristics in LTE /WiFi hybrid network,this paper proposes a cell selection algorithm which based on users' preference characteristics.By analyzing network characteristics and combining users' demands for power and service delay,this algorithm improves users' satisfaction level.Secondly,in the next generation of 5G standard,another technology to achieve network capacity expansion is to improve the small cell density,which is also known as ultra dense networks.In this paper,the energy-saving scheme of ultra-dense networks is studied.At present,the adaptive adjustment of the on/off state of base station,that is,cell muting has become a research hotspot.However,with the increase of traffic in the network,the load fluctuation of the cells in the network is also enhanced,which is embodied in the load variation of the cell with network region and time.The existing cell muting scheme has the problem of high complexity.In this paper,we propose a cluster-based and load forecasting cell muting mechanism.Firstly,we clustered the cells in the current scene,and then determine the dormant cells based on the load forecasting scheme for SBSs in each cluster.The algorithm we proposed do achieve obvious energy savings under throughput constraints,and it has a very low complexity.At last,this paper builds a LTE / WiFi hybrid network simulation platform and a LTE ultra-dense network simulation platform.We also propose a cell selection algorithm and a cell muting algorithm.The simulation results show that the LTE / WiFi hybrid network cell selection based on user characteristics and the cluster-based and load forecasting cell muting algorithm can guarantee the user's experience and reduce energy consumption while expanding network capacity.
Keywords/Search Tags:LTE, WiFi, 5G, network selection, ultra-dense networks, cell muting
PDF Full Text Request
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