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Wireless Personal Communications

, Volume 97, Issue 3, pp 3619–3643 | Cite as

Effects of CEE and Feedback Error on Performance for AF-ORS with PSA-CE Schemes Over Quasi-Static Rayleigh Fading Channels

  • Choongchae Woo
  • Sungmook Lim
  • Kyunbyoung KoEmail author
Article
  • 56 Downloads

Abstract

In this paper, we propose the analytical approach for amplify-and-forward (AF) opportunistic relaying schemes (ORS). When operation of AF-ORS consists of relay selection and data transmission phases based on pilot symbol assisted-channel estimation (PSA-CE) methods over quasi-static Rayleigh fading channels, we show that the relay selection phase can be implemented by pilots symbols transmission for source-relay and relay-destination. Moreover, the feedback method for the selected relay index is proposed to have a simple fashion. Then, we investigate the effects of both a channel estimation error and an estimated noise variance, which are obtained by PSA-CE methods, on the received signal-to-noise ratio (SNR). The average SNR loss is also derived in terms with the number of pilots in PSA-CE methods. Moreover, the average symbol error rate, the outage probability, and the normalized channel capacity of the ORS are derived in approximated closed-form expressions for an arbitrary link SNR when the channel state information in the source-relay-destination link is estimated based on transmitted pilots symbols. As the number of pilot symbols, the derived analytical approach is verified, and by comparing it with simulation results, the accuracy is demonstrated. In addition, it is verified that the effect of the feedback error can be neglected for PAS-CE methods over quasi-static fading channels.

Keywords

AF ORS PSA-CE Rayleigh fading channels CEE ASNR loss ASER Outage probability Channel capacity 

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Department of Electronics EngineeringHanseo UniversitySeosan-SiKorea
  2. 2.Department of Electronics EngineeringKorea National University of TransportationChungju-CityKorea
  3. 3.Department of IT ConvergenceKorea National University of TransportationChungju-CityKorea
  4. 4.Department of Control and Instrumentation EngineeringKorea National University of TransportationChungju-CityKorea

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