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The Research Of The Performance Optimization Of D2D Network

Posted on:2018-11-29Degree:MasterType:Thesis
Country:ChinaCandidate:K W LiFull Text:PDF
GTID:2348330515959999Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
With the increasing popularity of smart devices,a variety of wireless services are stepping into people's daily lives,which results in a sharp increase in mobile traffics.Meanwhile,people's requirements for the performance of the cellular network are also getting higher.Therefore,the lack of spectrum resources is becoming more obvious.The emergence of the Device-to-Device(D2D)communication technology can effectively solve the contradiction between the increasing data flow and the limited spectrum resources of cellular network.It allows the two adjacent users to communicate directly with each other,rather than through the base station,which is different from the common "user-base station-user" communication mode.Although the application of D2D communication in the cellular network can improve the spectral efficiency and network capacity,it also brings large interference.Therefore,take full advantages of the D2D communication technology depends on how to control interference and allocate resource effectively.In addition,in order to spread the conception of the Green Communication,we also need to consider how to reduce the energy consumption of devices as much as possible to extend the battery life.In this paper,we will mainly discuss the performance optimization of the Device-to-Device communication underlay cellular network over Rayleigh fading channel.A resource allocation algorithm based on Coalition Game is proposed to optimize the overall network throughput.Then,the interference analysis and throughput optimization of D2D users who need to communicate via relay are also studied.Finally,the paper will study the power optimization of D2D users of uplink transmission.
Keywords/Search Tags:D2D Communication, Cellular Network, Throughput, Spectrum Efficiency, Game Theory, Energy Optimization
PDF Full Text Request
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