DocumentCode
3341277
Title
Cooperative Diversity over Fading Channels with Impulsive Noise
Author
Al-Dharrab, Suhail ; Uysal, Murat
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON
fYear
2009
fDate
5-8 April 2009
Firstpage
1
Lastpage
6
Abstract
Although there already exists a rich literature on cooperative diversity, current results are mainly restricted to the conventional assumption of additive white Gaussian noise (AWGN). AWGN model realistically represents the thermal noise at the receiver, but ignores the impulsive nature of atmospheric noise, electromagnetic interference, or man-made noise which might be dominant in many practical applications. In this paper, we investigate the performance of cooperative communication over Rayleigh fading channels in the presence of impulsive noise modeled by Middleton Class A noise. Specifically, we consider a multi-relay network with amplify-and-forward relaying. Through the derivations of the pairwise error probability, we quantify the diversity advantages. Based on the minimization of a union bound on the error rate performance, we formulate optimal power allocation schemes and demonstrate significant performance gains over their counterparts with equal power allocation. An extensive Monte Carlo simulation is also presented to illustrate the performance of cooperative schemes in various impulsive environments.
Keywords
AWGN channels; Monte Carlo methods; Rayleigh channels; error statistics; impulse noise; Monte Carlo simulation; additive white Gaussian noise; cooperative diversity; fading channels; impulsive noise; AWGN; Additive white noise; Atmospheric modeling; Electromagnetic interference; Electromagnetic modeling; Error analysis; Fading; Gaussian noise; Pairwise error probability; Relays;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference, 2009. WCNC 2009. IEEE
Conference_Location
Budapest
ISSN
1525-3511
Print_ISBN
978-1-4244-2947-9
Electronic_ISBN
1525-3511
Type
conf
DOI
10.1109/WCNC.2009.4917644
Filename
4917644
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