• Title/Summary/Keyword: 에너지 빔포밍

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Multi-Tag Beamforming Scheme Based on Backscatter Communication for RF Energy Harvesting Networks (RF 에너지 하베스팅 네트워크를 위한 Backscatter 통신 기반의 다중 태그 빔포밍 기법)

  • Hong, Seung Gwan;Hwang, Yu Min;Lee, Sun Yui;Kim, Jin Young
    • Journal of Satellite, Information and Communications
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    • v.11 no.2
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    • pp.60-64
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    • 2016
  • In this paper, we propose a scheme for MIMO beamforming for the backscatter communication using a multi-tag to improve the efficiency of energy harvesting and the BER of received signals. We obtain a normal channel information through a communication between the H-AP and multi-tag. The H-AP sets parameters for the transmission scenario of the spatial channel model (SCM) using the obtained channel information and generates a SCM channel information. Then, the H-AP transmits signals that have optimal transmission power to increase the signal-to-interference-plus-noise ratio (SINR) to each of tags. Tags perform a backscatter communication with signals. The receiver performs a time switching technique of energy harvesting using backscatter signals from the multi-tag. Simulation results demonstrate effectiveness of the proposed scheme, and the harvesting efficiency and BER at the receiver is greatly improved.

Analysis on Spectrum Utilization Strategies in Cognitive Radio Network Based on Multi-Antenna Wireless Energy Transfer (다중안테나 무선 전력 전송에 기반한 인지 무선 네트워크에서의 스펙트럼 활용방안 분석)

  • Lee, Sung-bok;Park, Jaehyun;Kang, Kyu-Min;Park, Yunju
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.5
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    • pp.512-519
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    • 2016
  • This paper presents spectrum utilization strategies in cognitive radio (CR) networks powered by multi-antenna based wireless energy transfer. Secondary access point (AP) with multiple antennas should transfer the energy to the secondary sensor nodes with energy beamforming and simultaneously induces no interference to PUs. In addition, sensor nodes can transmit information to the secondary AP using the harvested energy, only when the spectrum is not utilized by PUs. We analyze the achievable rate of the CR sensor networks and propose an interference nulling energy beamforming method to maximize the achievable rate. Finally, we also propose a frame scheduling algorithm in which the durations of wireless energy transfer/information transfer frames (phases) are optimized.