Another closed-form expression of average error rate for the Nth best relay selection AF relaying over Rayleigh fading channels

ICTC 2011 ◽  
2011 ◽  
Author(s):  
Kyunbyoung Ko ◽  
Jeongtae Seo ◽  
Choongchae Woo
Keyword(s):  
Fading Channels ◽  
Relay Selection ◽  
Rayleigh Fading ◽  
Closed Form Expression ◽  
Rayleigh Fading Channels ◽  
Average Error ◽  
Form Expression ◽  
Average Error Rate ◽  
Best Relay Selection ◽  
Af Relaying

scholarly journals Outage Performance of CRNs with Best Relay Selection in Dependent Nonidentical Distributed Nakagami-m Channels

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Zongsheng Zhang ◽  
Jinlong Wang ◽  
Qihui Wu ◽  
Xurong Pi
Keyword(s):  
Closed Form ◽  
Fading Channels ◽  
Relay Selection ◽  
Closed Form Expression ◽  
Form Expression ◽  
Outage Performance ◽  
Interference Temperature ◽  
Primary Users ◽  
Best Relay Selection ◽  
The Impact

The outage performance with best relay selection is proposed for cognitive relay networks with multiple primary users in independent nonidentical distributed Nakagami-m fading channels. Specifically, we take the interference temperature and fading severity into consideration. Exact closed-form expression of outage probability is derived. Based on the exact closed-form expression, we can evaluate the impact of interference temperature, fading severity, number of relays, and number of primary users on the secondary network. Finally, the effects of fading severity, number of relays, number of primary users, and interference temperature on the system performance are examined through some representative numerical plots, and the Monte Carlo results match perfectly with theory results which validates our theory analysis.

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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