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High Energy Efficiency Transmission And Resource Allocation Technology In Wireless Communication Network

Posted on:2018-05-24Degree:DoctorType:Dissertation
Country:ChinaCandidate:X JiFull Text:PDF
GTID:1488306470991869Subject:Communication and Information System
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With the rising of green communication,high energy-efficiency transmission and networking have attracted much attention of researchers.In this thesis,we deeply analysis several key technologies in high energy-efficiency transmission and resource allocation technologies in cognitive wireless power transmission network.This thesis separately discusses the requirement of energy/information and the supply of the wireless power.The cell search technology within ultra dense deployment network(UDN)can improve the energy efficiency of the mobile terminal.Meanwhile,the joint optimization strategy in wireless power and communication network can also help increasing the throughput of information transfer.The main contributions of this paper are proposed in the following:1.High energy-efficient pilot signal design in UDN and neighboring search technology.Based on the requirement of access delay and successful cell search rate in ultra-dense deployment scenario,I propose a novel synchronization signal in the physical resource block to enhance the synchronization between the user and the base station.Considering the increasing number of users in UDN,the coverage of the base station will be less than before while the number will rise,which means that neighboring interference will become an important problem affecting the synchronization process.Focusing on this issue,the novel cell search scheme has been provided.From the simulation work and theoretical analysis,this strategy can significantly improve the cell search probability and lower the energy consumption.2.An adaptive resource allocation scheme for a multi-antenna cognitive radio network based on wireless power transfer.In the cognitive wireless powered communication network,a resource allocation scheme is proposed to improve the throughput of the information transfer without influencing the primary user`s communication quality.In this thesis,the secondary user’s communication is mostly subject to sub-priority conditions,will be the main user communication interference.In this scenario,the secondary user’s communication will need to maximize the throughput of its own information transfer under certain conditions such as interference temperature that does not affect the communication of the primary user.Meanwhile,the design and implementation of wireless powered communication network has been investigated based on the cognitive radio network energy efficient mode switching technology.Numeral results and theoretical analysis proved that,utilizing the main user`s energy transmission to maximize the secondary user’s wireless communication transmission throughput is an efficient way.3.Uplink and downlink joint resource allocation algorithm has been designed in multi-antenna networks based on wireless power transfer.In a wireless powered communication network,the communication between the hybrid access point(HAP)and the secondary wireless information transmission terminal is carried out interactively.Notice that,the traditional works always focus on the one-way information transfer.In this thesis,we study the downlink wireless power transfer and the uplink and downlink information transfer in the time division duplexing(TDD)mode.Our purpose is to design a joint optimization of the allocation of time and energy transmission mode,in order to maximize the throughput of the wireless information transfer.This method takes into account the needs of the circuit power consumption and the decoding power in different coding modes.In the end,we achieve the goal of energy efficient transmission in the wireless network from the practical application point of view.
Keywords/Search Tags:Energy efficient transmission, multi-antenna technology, cognitive radio network, dense deployment, wireless powered communication network
PDF Full Text Request
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