Title :
Detection for an AF Cooperative Diversity Network in the Presence of Interference
Author :
Ramezani-Kebrya, Ali ; Il-Min Kim ; Chan, Francois ; Inkol, R. ; Hyoung-Kyu Song
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
Abstract :
We consider an amplify-and-forward (AF) cooperative diversity network consisting of one source, multiple relays, one destination, and multiple interferers. It is assumed that only partial channel information of the interferers is known at the system. For this scenario, we derive an optimum/suboptimum detection rule. Furthermore, we propose an optimum relay power allocation scheme to maximize the instantaneous signal-to-interference-plus-noise-ratio (SINR). An exact and closed-form instantaneous BER expression is also presented. Numerical results demonstrate that the proposed scheme considerably outperforms the existing schemes.
Keywords :
amplify and forward communication; cooperative communication; error statistics; radiofrequency interference; relay networks (telecommunication); wireless channels; AF cooperative diversity network detection; SINR; amplify-and-forward cooperative diversity network; closed-form instantaneous BER expression; multiple interferers; multiple relays; optimum relay power allocation scheme; optimum-suboptimum detection rule; partial channel information; signal-to-interference-plus-noise-ratio; Bit error rate; Detectors; Interference; Relays; Resource management; Signal to noise ratio; Transmitters; Cooperative diversity networks; ML detection; interference;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2013.022213.122562