Exact Evaluation of Ergodic Capacity for Multihop Variable-Gain Relay Networks: A Unified Framework for Generalized Fading Channels

2010 ◽  
Vol 59 (8) ◽  
pp. 4181-4187 ◽  
Author(s):  
Omer Waqar ◽  
D. C. McLernon ◽  
Mounir Ghogho
Keyword(s):  
Fading Channels ◽  
Relay Networks ◽  
Ergodic Capacity ◽  
Unified Framework ◽  
Variable Gain ◽  
Exact Evaluation ◽  
Generalized Fading Channels

A unified framework for performance evaluation over generalized fading channels

2016 ◽  
Vol 64 (4) ◽  
pp. 669-678 ◽  
Author(s):  
Osamah S. Badarneh ◽  
Taimour Aldalgamouni ◽  
Fares S. Almehmadi
Keyword(s):  
Performance Evaluation ◽  
Fading Channels ◽  
Unified Framework ◽  
Generalized Fading Channels

Exact Ergodic Capacity Analysis for Cognitive Underlay Amplify-and-Forward Relay Networks over Rayleigh Fading Channels

2017 ◽  
Author(s):  
Vo Nguyen Quoc Bao ◽  
Vu Van San
Keyword(s):  
Fading Channels ◽  
Rayleigh Fading ◽  
Relay Networks ◽  
Ergodic Capacity ◽  
Closed Form Expression ◽  
Rayleigh Fading Channels ◽  
Capacity Analysis ◽  
Amplify And Forward ◽  
Form Expression ◽  
Decode And Forward

In this paper, we propose a novel derivation approach to obtain the exact closed form expression of ergodic capacity for cognitive underlay amplify-and-forward (AF) relay networks over Rayleigh fading channels. Simulation results are performed to verify the analysis results. Numerical results are provided to compare the system performance of cognitive underlay amplify-and-forward relay networks under both cases of AF and decode-and-forward (DF) confirming that the system with DF provides better performance as compared with that with AF. DOI: 10.32913/rd-ict.vol3.no14.563

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