TY - JOUR
T1 - Asymptotic performance analysis of amplify-and-forward cooperative networks in a Nakagami-m fading environment
AU - Maham, Behrouz
AU - Hjørungnes, Are
N1 - Funding Information:
This work was supported by the Research Council of Norway through the project 176773/S10 entitled “Optimized Heterogeneous Multiuser MIMO Networks – OptiMO." B. Maham and A. Hjørungnes are with UNIK–University Graduate Center, University of Oslo, Norway (e-mail: {behrouz, arehj}@unik.no). B. Maham is currently a visiting scholar at the Department of Electrical Engineering, Stanford University, USA. Digital Object Identifier 10.1109/LCOMM.2009.090057
Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - This letter analyzes the performance of repetitionbased cooperative wireless networks using amplify-and forward relaying. The network consists of a source, R parallel relays, and a destination, and the channel coefficients are distributed as independent, non-identical, Nakagami-m. The approximated average symbol error rate (SER) is investigated. For sufficiently large SNR, this letter derives a close-form average SER when m is an integer. The simplicity of the asymptotic results provides valuable insights into the performance of cooperative networks and suggests means of optimizing them. We also use simulation to verify the analytical results. Results show that the derived error rates are tight approximations particularly at medium and high SNR.
AB - This letter analyzes the performance of repetitionbased cooperative wireless networks using amplify-and forward relaying. The network consists of a source, R parallel relays, and a destination, and the channel coefficients are distributed as independent, non-identical, Nakagami-m. The approximated average symbol error rate (SER) is investigated. For sufficiently large SNR, this letter derives a close-form average SER when m is an integer. The simplicity of the asymptotic results provides valuable insights into the performance of cooperative networks and suggests means of optimizing them. We also use simulation to verify the analytical results. Results show that the derived error rates are tight approximations particularly at medium and high SNR.
KW - Error analysis
KW - Fading
KW - Nakagami-m fading
KW - Performance analysis
KW - Probability density function
KW - Relays
KW - Signal to noise ratio
KW - Wireless relay networks
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U2 - 10.1109/LCOMM.2009.090057
DO - 10.1109/LCOMM.2009.090057
M3 - Article
AN - SCOPUS:67649240729
VL - 13
SP - 300
EP - 302
JO - IEEE Communications Letters
JF - IEEE Communications Letters
SN - 1089-7798
IS - 5
ER -