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Energy Harvesting Enabled Robust Wireless Transmission Techniques

Posted on:2018-04-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y MiFull Text:PDF
GTID:2348330566955735Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
At present,wireless communication has become very common,but for some energy constrained wireless network(such as Wireless Sensor Network,Internet of Things),battery storage capacity of wireless devices has become the bottleneck of wireless technology development.Aimed at this problem,the industry sector puts forward the radio frequency signal based energy collection technology,namely,the wireless devices can absorb and store energy from the wireless signal sources,such as base station,TV tower and wireless hotspot,to ensure the equipments can continue to work in the case of no cables or batteries.In addition,the scarcity of spectrum resources is one of the bottleneck problems wireless communication technology faced,and the feasible solution is to use network collaboration technology to improve the spectrum utilization of wireless communication.This paper focuses on an energy harvesting enabled wireless communication network.Considering the energy a single network node collected is micro and volatility,which can not guarantee sustained and stable wireless communication,this paper uses relay coordination transmission mechanism,making full use of multiple nodes' energy and improving data transmission reliability and rate.This paper assumes the sender is an active multi-antenna wireless access point and the receivers are multiple active single antenna equipments.Because the sender and the receiver are too far apart or obstacles blocking to directly communicate,this paper uses multiple single antenna passive relays to amplify and forward the signal from the source.According to relays' channel and the collected energy state,we design a dichotomy of iterative optimization algorithm to find the optimal matching scheme of sender' beamforming vector and relays' power amplification coefficient,to optimize the system signal-to-noise ratio.
Keywords/Search Tags:energy harvesting, cooperative communication, power splitting, beamforming
PDF Full Text Request
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