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On the performance of underlay cognitive radio system with random mobility under imperfect channel state information
Author(s) -
Odeyemi Kehinde O.,
Owolawi Pius A.,
Olakanmi Oladayo O.
Publication year - 2020
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.4561
Subject(s) - 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 , combinatorics
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.