• DocumentCode
    1466288
  • Title

    On the Finite-SNR DMT of Two-Way AF Relaying with Imperfect CSI

  • Author

    Wang, Lei ; Cai, Yueming ; Yang, Weiwei

  • Author_Institution
    Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
  • Volume
    1
  • Issue
    3
  • fYear
    2012
  • fDate
    6/1/2012 12:00:00 AM
  • Firstpage
    161
  • Lastpage
    164
  • Abstract
    A general framework of finite-SNR diversity-multiplexing tradeoff (DMT) is formulated to evaluate the impact of imperfect channel estimation in two-way amplify-and-forward (AF) relaying systems over Nakagami-m fading channels. Imperfect self-interference cancellation and signal detection are performed at both sources due to channel estimation errors. The overall outage probability (OOP) is obtained and then the finite-SNR DMT is derived in the presence of channel estimation errors. Furthermore, the asymptotic and limiting behavior expressions of the finite-SNR DMT are also evaluated adequately. Numerical results verify the theoretical analysis and show that at realistic SNR and channel estimation quality, the DMT is significantly lower than the asymptotic result.
  • Keywords
    Nakagami channels; amplify and forward communication; channel estimation; interference suppression; probability; signal detection; Nakagami-m fading channels; OOP; channel estimation errors; channel estimation quality; finite-SNR DMT; finite-SNR diversity-multiplexing tradeoff; imperfect CSI; imperfect channel estimation information; imperfect self-interference cancellation; overall outage probability; signal detection; two-way AF relaying systems; two-way amplify-and-forward relaying systems; Channel estimation; Diversity methods; Fading; Limiting; Multiplexing; Relays; Signal to noise ratio; finite-SNR diversity-multiplexing tradeoff (DMT); imperfect channel estimation; overall outage probability (OOP); two-way amplify-and-forward (AF) relaying;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    2162-2337
  • Type

    jour

  • DOI
    10.1109/WCL.2012.030512.110156
  • Filename
    6166496