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Performance analysis of two-way relaying system with RF-EH and multiple antennas
Faculty of Electrical and Electronics Engineering, Duy Tan University Danang, Viet Nam.
ETS Engineering School, University of Quebec, Montreal, Canada.
Faculty of Electrical and Electronics Engineering, Duy Tan University Danang, Viet Nam.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
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2016 (English)In: IEEE Vehicular Technology Conference, Institute of Electrical and Electronics Engineers Inc. , 2016Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we investigate the performance of an amplify-and-forward two-way relay network, in which the relay can harvest the energy from the radio frequency and all channels are subject to Nakagami-m fading. In particular, we assume that the relay has a single antenna, while two sources are equipped with multiple antennas. Also, two sources use the maximal ratio transmission (MRT) and maximal ratio combining (MRC) techniques to process the transmit and received signals. Moreover, the multiple access broadcast (MABC) protocol, which can improve the spectrum efficiency, is employed to coordinate the bidirectional communication of the two-way relay network. Given these settings, we derive analytical expressions for the throughput under the delay-limited and delay-tolerant transmission modes and the outage probability. Finally, Monte-Carlo simulations are provided to verify our calculation.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2016.
Keywords [en]
Amplify-and-forward, Cooperative communication, Energy harvesting, Maximal ratio combining, Maximal ratio transmission, Wireless power transfer, Antennas, Energy transfer, Fading (radio), Intelligent systems, Monte Carlo methods, Rectennas, Relay control systems, Amplify and forward, Analytical expressions, Bi-directional communication, Maximal ratio combining (MRC), Maximal ratio transmissions, Two-way relay networks, Two-way relaying systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-35211DOI: 10.1109/VTCFall.2016.7881156ISI: 000402610200314Scopus ID: 2-s2.0-85016956281ISBN: 9781509017010 (print)OAI: oai:DiVA.org:mdh-35211DiVA, id: diva2:1089701
Conference
84th IEEE Vehicular Technology Conference, VTC Fall 2016, 18 September 2016 through 21 September 2016
Available from: 2017-04-20 Created: 2017-04-20 Last updated: 2024-05-03Bibliographically approved

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Total: 241 hits
CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf