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dc.contributor.advisorMilić, Dejan N.
dc.contributor.otherPerić, Zoran
dc.contributor.otherNikolić, Zorica
dc.contributor.otherPetrović, Mile
dc.creatorMilosavljević, Srđan Z.
dc.date.accessioned2018-02-26T12:40:22Z
dc.date.available2018-02-26T12:40:22Z
dc.date.available2020-07-03T16:02:45Z
dc.date.issued2017-11-07
dc.identifier.urihttp://eteze.ni.ac.rs/application/showtheses?thesesId=5593
dc.identifier.urihttp://nardus.mpn.gov.rs/handle/123456789/9145
dc.identifier.urihttps://fedorani.ni.ac.rs/fedora/get/o:1441/bdef:Content/download
dc.identifier.urihttp://vbs.rs/scripts/cobiss?command=DISPLAY&base=70052&RID=533944470
dc.description.abstractIn this thesis characteristics of wireless communication system operating over η-μ fading channel are considered together with diversity reception techniques which reduce the influence of η-μ fading on the system’s outage probability, average bit error rate, channel capacity, level crossing rate and average fade duration. Performance improvement is very significant within radio systems operating into cell network configuration. Cell network configuration realization could be used for increasing capacity of wireless communication system. With the increase of number of cells, i.e. with reducing the surface area of each cell, channel capacity increases. With the increase of number of cells, co-channel interference level increase, which degrades system performance values. In this work the compromise between the system capacity and reception quality is inquired. By applying diversity reception techniques, system performance values, degraded by the influences of slow fading, multipath fading and co-channel interference, are improved, so it is possible to reduce the cell area and to increase system capacity. In the second part of Phd thesis, various distributions for modeling the envelope variations in fading channels have been presented, cases in which these models are used have been pointed out, and advantages and imperfections of corresponding models for corresponding propagation scenarios have been presented. In third chapter, statistical characteristics of the first order of η-μ random variable, α-η-μ random variable and squared η-μ random variable are considered. For each mentioned variables, expressions for probability density function, cumulative distributive function, characteristic function and moments have been derived. Also for each observed case sum of two random variables, product of two random variables, ratio of two random variables, maximal value of two random variables and minimum value of two random variables have been determined. Obtained results are used for determining performances of wirelles reception with applied diversity technique for mitigation fading influence on system performances. Based on obtained expressions, graphs are depicted for probability density functions and cumulative distribution functions for the various values of propagation environment parameters. Probability density function and cumulative distribution function values are also graphically presented for α-η-μ random variable in the function of α and μ parameter change. For the purpose of performance analysis in η-μ fading environment, in the fourth chapter have been considered transformations of three η-μ random variables. Based on presented transformations of η-μ random variables, transmission performances estimation has been conducted, for the η-μ fading channel. Estimation of signal performances for the cases when diversity techniques are applied are carried out based on standard signal performance measures, i.e. outage probability (OP), average bit error probability (ABER), for observed modulation format and channel capacity. Graphically are presented ABER values for various values of system parameters when transmission is carried out with different modulation formats. By comparing obtained values it can be seen received signal performance improvement for the cases when diversity techniques are apliied over the reception case when there is no diversity technique applied. In the fifth chapter statistical characteristics of the second order of η-μ radnom proccess, and random proccesses which represent various variations of η-μ radnom proccess, are considered. Brand new random proccesses, for describing fading in special channel conditions are fromed. For all this cases level crossing rates are determined. In the sixth chapter of this Phd thesis are considered wireless communication systems with reception with applied diversity techniques for mitigating the influence of η-μ fading on system performances. Space diveristy technique has been used. Useful signals are accepted at the antennas, envelopes of these signals are combined and decision is made based on the signal values at the combiner outputs. System performances are determined for the cases of SC and MRC combining. For bouth cases probability density function and cumulative distribution function of the signal at the combiners outouts are derived, as well as the average bit error rate for the various used modualtion formats and level crossing rate. Results for ABER for various modulation formats are graphically presented as well as the improvement of the outage probability at the reception obtained by applying SC with two reception branches. In this part it has also been considered the case when bouth desired and interferring signal are described with η-μ distribution, as well as the case when desired signal has been described with η-μ distribution while interference has been described with κ-μ distribution. In the seventh chapter macrodiversity sistem with SC reception and two MRC microdiversity combiners has been considered. At the inputs at the microdiversity combiners η-μ fading is present, while at the inputs as macrodiversity combiners slow Gamma fading is present. For this model of system it has been calculated probability density function, cumulative distribution function, characteristic function, moments, variance, outage probability and level crossing rate for the signal at the macrodiversity combiner output. Results obtained for level croosing rate at the macrodiversity combiner output are graphically presented.en
dc.formatapplication/pdf
dc.languagesr
dc.publisherУниверзитет у Нишу, Електронски факултетsr
dc.rightsopenAccessen
dc.sourceУниверзитет у Нишуsr
dc.subjectη-μ fedingsr
dc.subjectη-μ fadingen
dc.subjectprobability density functionen
dc.subjectoutage probabilityen
dc.subjectlevel crossing rateen
dc.subjectdiversity techniqueen
dc.subjectmacrodiversity systemsen
dc.subjectgustina raspodele verovatnoćesr
dc.subjectverovatnoća otkazasr
dc.subjectsrednji broj osnih presekasr
dc.subjectdiverziti tehnikesr
dc.subjectmakrodiverziti tehnikesr
dc.titlePerformanse bežičnog telekomunikacionog sistema u prisustvu n-m fedingasr
dc.typedoctoralThesisen
dc.rights.licenseBY-NC-ND
dcterms.abstractМилић, Дејан Н.; Перић, Зоран; Николић, Зорица; Петровић, Миле; Милосављевић, Срђан З.; Перформансе бежичног телекомуникационог система у присуству н-м фединга; Перформансе бежичног телекомуникационог система у присуству н-м фединга;
dc.identifier.fulltexthttp://nardus.mpn.gov.rs/bitstream/id/52314/Milosavljevic_Srdjan_Z.pdf
dc.identifier.fulltexthttp://nardus.mpn.gov.rs/bitstream/id/52313/Disertacija.pdf


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