Average Fade Duration for Amplify-and-Forward Relay Networks in Fading Channels

2015 ◽  
Vol 14 (10) ◽  
pp. 5454-5467 ◽  
Author(s):  
F. Javier Lopez-Martinez ◽  
Ernest Kurniawan ◽  
Russ Islam ◽  
Andrea Goldsmith
2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Kiran Sultan ◽  
Ijaz Mansoor Qureshi ◽  
Aqdas Naveed Malik ◽  
Muhammad Zubair

Cooperative communication is regarded as a key technology in wireless networks, including cognitive radio networks (CRNs), which increases the diversity order of the signal to combat the unfavorable effects of the fading channels, by allowing distributed terminals to collaborate through sophisticated signal processing. Underlay CRNs have strict interference constraints towards the secondary users (SUs) active in the frequency band of the primary users (PUs), which limits their transmit power and their coverage area. Relay selection offers a potential solution to the challenges faced by underlay networks, by selecting either single best relay or a subset of potential relay set under different design requirements and assumptions. The best relay selection schemes proposed in the literature for amplify-and-forward (AF) based underlay cognitive relay networks have been very well studied in terms of outage probability (OP) and bit error rate (BER), which is deficient in multiple relay selection schemes. The novelty of this work is to study the outage behavior of multiple relay selection in the underlay CRN and derive the closed-form expressions for the OP and BER through cumulative distribution function (CDF) of the SNR received at the destination. The effectiveness of relay subset selection is shown through simulation results.


2014 ◽  
Vol 543-547 ◽  
pp. 2243-2248
Author(s):  
Min Li ◽  
Hong Zhou ◽  
Qin Fei Huang

The outage probability (OP) of dual-hop fixed-gain amplify-and-forward (AF) relay over Rayleigh fading channels is analyzed when the feedback delay, the estimation error and the multiple co-channel interferences (CCI) are all present. A closed-form expression for the OP is derived and validated by Monte Carlo simulations with several scenarios considered, also the impacts of feedback delay, estimation error and CCI have been shown in the numerical results.


Author(s):  
Vo Nguyen Quoc Bao ◽  
Vu Van San

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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