Effect of channel-estimation error on BER performance in cooperative transmission

Seungyoup Han, Seongwoo Ahn, Eunsung Oh, Daesik Hong

Research output: Contribution to journalArticlepeer-review

74 Citations (Scopus)


In this paper, a framework for evaluating the bit-error-rate (BER) performance of amplify-and-forward (AF) relay-assisted cooperative transmission is provided in the presence of imperfect channel estimation. First, the AF relaying is classified into two cases-a variable gain and a fixed gain. For each case, the closed-form average BER is derived by using the moment-generating function (MGF) of the effective output SNR, which quantifies the SNR penalty due to the noisy channel estimate. Moreover, the asymptotic BER bound is also provided at a high SNR regime for the insight of our approach. In particular, the effect of the feedforward delay on informing the source-relay channel estimate as to the destination is presented in the variable-gain relay. Numerical investigation shows that the analytic result makes an exact match with the simulation, and the comparative superiority between the fixed- and variable-gain relay is discussed.

Original languageEnglish
Pages (from-to)2083-2088
Number of pages6
JournalIEEE Transactions on Vehicular Technology
Issue number4
Publication statusPublished - 2009

Bibliographical note

Funding Information:
Manuscript received February 26, 2008; revised August 18, 2008. First published October 31, 2008; current version published April 22, 2009. This work was supported by the Korea Science and Engineering Foundation through the National Research Laboratory Program under Grant R0A-2007-000-20043-0 and by the Ministry of Knowledge Economy, Korea, under the Information Technology Research Center support program supervised by the Institute of Information Technology Assessment under Grant IITA-2008-C1090-0803-0002. The review of this paper was coordinated by Dr. M. Dohler.

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


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