Name
Title | ||
|---|---|---|
Accurate approximations for the symbol error probability of cooperative non-regenerative relay systems over generalized fading channels |
Abstract | ||
|---|---|---|
In this article, we present a unified approach for the asymptotic analysis of symbol error rates for two-hops cooperative non-regenerative multi-relay networks over a myriad of stochastic channel models. The analysis can be also extended to other types of cooperative strategies and multi-hop networks without much difficulty. The proposed moment generating function (MGF) framework is also sufficiently general to encapsulate all types of coherent and non-coherent digital modulation schemes. In addition to simplifying the computation complexity of average symbol error rate (ASER) for cooperative amplify-and-forward (CAF) diversity schemes treated in the literature, we also provide accurate ASER approximations for many fading environments that heretofore had resisted a simple solution. The accuracy of our approximations has been validated with closed-form formulas that are available for specific fading environments (e.g., Rayleigh and Nakagami-m channels) and via computer (Monte Carlo) simulations. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IWCMC.2011.5982667 | IWCMC |
Keywords | Field | DocType |
symbol error probability,two-hops cooperative nonregenerative multirelay networks,amplify-and-forward relay networks,stochastic processes,stochastic channel models,cooperative communication,fading channels,asymptotic analysis,fading channel,mgf framework,caf,amplify-and-forward diversity schemes,aser,mgf method,cooperative diversity systems,moment generating function framework,amplify and forward communication,average symbol error rate,computer simulations,probability,cooperative diversity,signal to noise ratio,binary phase shift keying | Monte Carlo method,Telecommunications,Fading,Computer science,Algorithm,Stochastic process,Communication channel,Modulation,Nakagami distribution,Asymptotic analysis,Moment-generating function,Distributed computing | Conference |
ISSN | ISBN | Citations |
2376-6492 | 978-1-4244-9539-9 | 0 |
PageRank | References | Authors |
0.34 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Annamalai Annamalai | 1 | 288 | 41.69 |
| Oluwatobi Olabiyi | 2 | 55 | 11.20 |
| Shumon Alam | 3 | 34 | 3.98 |