JOURNAL ARTICLE

On the performance of underlay cognitive radio system with random mobility under imperfect channel state information

Kehinde O. OdeyemiPius Adewale OwolawiOladayo Olufemi Olakanmi

Year: 2020 Journal:   International Journal of Communication Systems Vol: 33 (15)   Publisher: Wiley

Abstract

Summary In this paper, the performance of an underlay cognitive radio system with random mobility and imperfect channel state information (CSI) is investigated. The mobile user (MU) utilises maximum ratio combining (MRC) and selection combining (SC) diversity techniques as signal reception to improve the quality of received signal‐to‐noise ratio (SNR). Under the Rayleigh fading, random waypoint mobility model is employed to characterised the effect of the MU random mobility on the system performance. Thus, novel probability density function (PDF) and cumulative distribution function (CDF) for the two considered diversity techniques are derived. Through these, the outage probability and average bit error rate (ABER) closed‐form analytical expressions are then obtained to quantify the system performance under the MRC and SC schemes. The results illustrate the effect of imperfect CSI, user mobility which is characterised by pathloss and the network topology on the system performance. Also, the results depict that MRC offers the system better performance compared with SC under the same system conditions. The accuracy of the derived analytical expressions is verified through Monte‐Carlo simulations.

Keywords:
Underlay Computer science Cumulative distribution function Cognitive radio Maximal-ratio combining Rayleigh fading Channel state information Fading Probability density function Topology (electrical circuits) Signal-to-noise ratio (imaging) Monte Carlo method Channel (broadcasting) Algorithm Mobility model Telecommunications Statistics Mathematics Wireless

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4
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0.29
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35
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0.57
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Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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
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