Abstract
In this work, the system performance of a cognitive multi-relay amplify-and-forward network is investigated in the presence of imperfect channel estimations. In the proposed structure, the secondary source communicates with the secondary destination with the help of best relay and in the presence of imperfect channel estimations. The performance analysis for the proposed structure begins with the derivation of signal-to-noise ratio. Then, probability density function (PDF) and cumulative distribution function (CDF) are obtained. With the help of PDF and CDF, closed-form and asymptotic expressions of symbol error rate are derived and system diversity gain is obtained. Analytical results are verified with the simulations.
Keywords
Cumulative distribution function
Relay
Probability density function
Imperfect
Channel (broadcasting)
Computer science
Algorithm
Signal-to-noise ratio (imaging)
Relay channel
Diversity gain
Cognitive radio
Maximal-ratio combining
Topology (electrical circuits)
Statistics
Mathematics
Telecommunications
Fading
Wireless
Physics
Subject Areas
Cognitive Radio Networks and Spectrum Sensing
·Computer Networks and Communications ·Physical Sciences
Cooperative Communication and Network Coding
·Computer Networks and Communications ·Physical Sciences
Advanced MIMO Systems Optimization
·Electrical and Electronic Engineering ·Physical Sciences
Citations by Year
2020: 1
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