Performance analysis of interference-limited dual-hop multiple antenna AF relaying systems with feedback delay

Jinlong Wang, Yuzhen Huang, Caijun Zhong, Fawaz Al-Qahtani, Qihui Wu, Yunpeng Cheng

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4 Citations (Scopus)


In this paper, we present a comprehensive performance analysis of dual-hop multiple antenna channel state information (CSI) assisted amplify-and-forward (AF) relaying systems over Rayleigh fading channels employing arbitrary transmit antenna selection (TAS) and receiver maximum ratio combining (MRC) with feedback delay in the presence of co-channel interference (CCI) at both the relay and destination. Specifically, an upper bound on the cumulative distribution function (CDF) of the end-to-end signal-to-interference ratio (SIR) is proposed, based on which closed-form expressions for the outage probability and the average symbol error rate (SER) are derived. To gain further insights, simple and high informative expressions for the outage probability and the average SER are obtained at the high SIR regime, which readily enable us to characterize the achievable diversity order and coding gain of the system. Moreover, we present new analytical upper and lower bounds for the ergodic capacity of the system, which apply to the system with arbitrary number of antennas, CCI and feedback delay at any SIRs. Finally, to minimize the outage probability of the system, an optimum power allocation scheme is devised under the total transmission power constraint between the source and the relay. The findings suggest that the feedback delay limits the diversity order to one, while the CCI degrades the outage performance by affecting the coding gain of the system.

Original languageEnglish
Article number284
JournalEurasip Journal on Wireless Communications and Networking
Issue number1
Publication statusPublished - Dec 2013



  • Amplify-and-forward (AF) relaying
  • Co-channel interference (CCI)
  • Ergodic capacity
  • Multiple antenna system
  • Outage probability
  • Power allocation
  • Symbol error rate (SER)

ASJC Scopus subject areas

  • Signal Processing
  • Computer Science Applications
  • Computer Networks and Communications

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