Paper Info
Title
On ergodic capacity of cooperative non-regenerative relay networks in Rice fading environments.
Abstract
In this article, we have derived closed form moment generating function (MGF) of upper and lower bounds of the harmonic mean signal-to-noise ratio (SNR) of the two-hop cooperative amplify-and-forward (CAF) relay networks over Rice fading environments. The derived MGF formulas are then applied to the computation of ergodic capacity of optimal rate adaptation with constant power (ORA) and optimal joint power and rate adaptation (OPRA) source adaptive transmission policies over Rice fading channels. The above mathematical framework for the ergodic capacity allows us to investigate how the power assignment during different transmission phases, node placement (i.e., position of relay with respect to source and destination), fade distributions and dissimilar fading statistics across the distinct communication links affect the ergodic capacity, without imposing any restrictions on the fading parameters. Moreover, the ergodic capacity of ORA and OPRA source adaptive transmission policies have also been computed using new closed-form approximate MGF expression of two-hop CAF relay networks in our further attempt to reduce the computational complexity of the mean achievable rates for CAF relay networks. The proposed analytical frameworks have been validated by Monte Carlo simulations and are in good agreement.
Year
DOI
Venue
2011
10.1109/GLOCOMW.2011.6162468
GLOBECOM Workshops
Keywords
Field
DocType
Monte Carlo methods,amplify and forward communication,channel capacity,computational complexity,cooperative communication,fading channels,mathematical analysis,statistics,CAF relay networks,MGF formulas,Monte Carlo simulation,OPRA source adaptive transmission policies,approximate MGF expression,computational complexity,cooperative nonregenerative relay networks,dissimilar fading statistics,ergodic capacity,ergodic capacity computation,fade distribution,fading parameters,harmonic mean signal-to-noise ratio,mathematical framework,moment generating function,node placement,optimal joint power and rate adaptation source adaptive transmission policies,rice fading environment,transmission phases,two-hop CAF relay networks,two-hop cooperative amplify-and-forward relay networks,channel capacity,cooperative diversity,node placement,optimum power allocation,rice fading
Topology,Monte Carlo method,Telecommunications,Computer science,Fading,Upper and lower bounds,Cooperative diversity,Ergodic theory,Real-time computing,Moment-generating function,Channel capacity,Relay
Conference
ISSN
Citations 
PageRank 
2166-0069
2
0.38
References 
Authors
8
4
Name
Order
Citations
PageRank
Bhuvan Modi1232.79
Oluwatobi Olabiyi25511.20
Annamalai Annamalai328841.69
Dhadesugoor R. Vaman414517.79