Image Transmission Over Decode and Forward Based Cooperative Wireless Multimedia Sensor Networks for Rayleigh Fading Channels in Medical Internet of Things (MIoT) for Remote Health-Care and Health Communication Monitoring

2020 ◽  
Vol 10 (1) ◽  
pp. 160-168 ◽  
Author(s):  
Bilal Al Hayani ◽  
Haci Ilhan
Keyword(s):  
Health Care ◽  
Internet Of Things ◽  
Fading Channels ◽  
Rayleigh Fading ◽  
Image Transmission ◽  
Rayleigh Fading Channels ◽  
Wireless Multimedia ◽  
Decode And Forward ◽  
Multimedia Sensor Networks ◽  
Remote Health

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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