JOURNAL ARTICLE

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

Vo Nguyen Quoc BaoVu Van San

Year: 2017 Journal:   Research and Development on Information and Communication Technology

Abstract

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

Keywords:
Underlay Rayleigh fading Relay Ergodic theory Fading Computer science Topology (electrical circuits) Cognitive network Computer network Cognitive radio Telecommunications Signal-to-noise ratio (imaging) Mathematics Channel (broadcasting) Wireless Physics Power (physics)

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Topics

Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Full-Duplex Wireless Communications
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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