Title :
Exact Analytical Solution for Dual-Hop and Opportunistic Dual-Hop AF Relaying Systems
Author :
Soliman, Samy S. ; Beaulieu, Norman C.
Author_Institution :
AITF/iCORE Wireless Commun. Lab., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
Novel exact closed-form expressions are derived for the probability density function (PDF) and the cumulative distribution function (CDF) of the instantaneous received end-to-end signal-to-noise ratio (SNR) of dual-hop amplify-and-forward (AF) relaying systems operating over Rayleigh, Nakagami-m and Rician fading channels. New exact closed-form expressions are also obtained for opportunistic dual-hop AF relaying systems, with maximum relay-to- destination SNR relay selection. The average symbol error probability, ergodic capacity and outage probability are calculated using the derived PDF and CDF expressions. It is found that the opportunistic dual-hop AF system, with relay selection pool size M = 2, has at least 2.84 dB power advantage over the dual-hop AF system without relay selection for average error probabilities less than 10^-2 in the case of Rayleigh fading links. It is shown that although the performance of a dual-hop AF system with maximum relay-to-destination SNR relay selection is improved by increasing the selection pool size, the improvement has diminishing returns and a relay selection pool of more than 6 relays is not of practical benefit.
Keywords :
Nakagami channels; Rayleigh channels; Rician channels; probability; CDF expressions; Nakagami-m channels; PDF expressions; Rayleigh channels; Rayleigh fading links; Rician fading channels; analytical solution; cumulative distribution function; instantaneous received end-to-end signal-to-noise ratio; maximum relay-to-destination SNR relay selection; opportunistic dual-hop AF relaying systems; probability density function; Error probability; Measurement; Rayleigh channels; Relays; Rician channels; Signal to noise ratio;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2012 IEEE
Conference_Location :
Quebec City, QC
Print_ISBN :
978-1-4673-1880-8
Electronic_ISBN :
1090-3038
DOI :
10.1109/VTCFall.2012.6399124