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Author:

Abraray, Abdel-Ghafour (Abraray, Abdel-Ghafour.) | Saidul Huq, Kazi Mohammed (Saidul Huq, Kazi Mohammed.) | Mumtaz, Shahid (Mumtaz, Shahid.) | Rodriguez, Jonathan (Rodriguez, Jonathan.) | El Mrabet, Otman (El Mrabet, Otman.) | Farkshi, Abdelkrim (Farkshi, Abdelkrim.) | Floc'h, Jean-Marie (Floc'h, Jean-Marie.) | Si, Pengbo (Si, Pengbo.)

Indexed by:

CPCI-S

Abstract:

In this paper, we investigate a metamaterial-inspired small rectenna (rectifying antenna) system for microwave energy harvesting and wireless power transfer at 5.8 GHz. We also study the received-power maximization technique using an array of antennas connected to a single load by an optimal RF power combiner. This investigation is done both in simulation and experiment. The power combiner is embedded between the metamaterial-inspired antennas and the load (including rectifier) for maximizing the power, harvested by the input antennas and to deliver it to the load in the most optimal way. Moreover, we design and test proof-of-concept prototypes of the main components of the investigated energy harvesting systems. The similarity between the simulation and the experimental results also confirms our method of investigation.

Keyword:

Rectenna Energy Harvesting Metamaterial-inspired small antenna Power combiner

Author Community:

  • [ 1 ] [Abraray, Abdel-Ghafour]Inst Telecomunicacoes, Aveiro, Portugal
  • [ 2 ] [Saidul Huq, Kazi Mohammed]Inst Telecomunicacoes, Aveiro, Portugal
  • [ 3 ] [Mumtaz, Shahid]Inst Telecomunicacoes, Aveiro, Portugal
  • [ 4 ] [Rodriguez, Jonathan]Inst Telecomunicacoes, Aveiro, Portugal
  • [ 5 ] [El Mrabet, Otman]Abdelmalek Essaadi Univ, Tetouan, Morocco
  • [ 6 ] [Farkshi, Abdelkrim]Abdelmalek Essaadi Univ, Tetouan, Morocco
  • [ 7 ] [Floc'h, Jean-Marie]INSA Rennes, IETR, Rennes, France
  • [ 8 ] [Si, Pengbo]Beijing Univ Technol, Beijing, Peoples R China

Reprint Author's Address:

  • [Abraray, Abdel-Ghafour]Inst Telecomunicacoes, Aveiro, Portugal

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Source :

2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)

ISSN: 2334-0983

Year: 2019

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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