Fading and Interference Mitigation in Wireless Communications

Panić, Stefan; Stefanović, Mihajlo; Anastasov, Jelena; Spalević, Petar

doi:10.1201/b16275

Cited by 99 publications

(105 citation statements)

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“…Pomenute Gauss-ove komponente su međusobno nekorelisane, njihove srednje vrednosti jednake su nuli, a varijanse međusobno različite. Nakagami-q model fedinga predstavlja generalizaciju Rayleigh-ovog modela, kod koga su varijanse Gauss-ovih komponenti međusobno jednake [1], pa je samim tim pogodan za primenu u sistemima gde ne postoji optička vidljivost između predajnika i prijemnika, kao i u satelitskim kanalima koji su pod uticajem snažne jonosferske sintilacije [2]. Takođe, usled veće fleksibilnosti, Nakagami-q model obezbeđuje bo-lje podudaranje analitičkih rezultata sa eksperimentalnim, tj.…”

Section: Uvodunclassified

“…Odnosno, predstavljeni su analitički izrazi za funkciju gustine verovatnoće (PDF -Probability Density Function) [1,4], kumulativnu funkciju raspodele (CDF -Cumulative Distribution Function) [1,5], moment n-tog reda [1,6], varijansu [1] i karakterisitčnu funkciju (MGF -Moment Genereting Function) [1] jednog α-q procesa. Analitički izraz za gustinu verovatnoće predstavljen je u zatvorenom obliku, dok analitički izrazi ostalih parametara predstavljeni su u vidu beskonačnog reda.…”

Section: Uvodunclassified

“…Zamenom (6) i (8) Može se primetiti, da se izraz za raspodelu gustine verovatnoće procesa R(t) dat sa (13), u slučaju kada je α=1, svodi na izraz za raspodelu gustine verovatnoće Nagakami-q procesa r(t) dat sa (1). Prikaz raspodele gustine verovatnoće procesa R(t) za različite vrednosti parametra α i parametra q prikazan je na slici 1.…”

Section: Uvodunclassified

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α-Q fading model: Statistical analisis of the first order

Bandjur¹,

Jakšić²,

Bandjur³

2017

Tehnika

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Section: Uvodunclassified

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α-Q fading model: Statistical analisis of the first order

Bandjur¹,

Jakšić²,

Bandjur³

2017

Tehnika

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“…Signal envelope variation is result of multipath fading and signal envelope power variation is result of shadowing. There are more statistical models which can be applied to describe signal envelope variation and signal envelope power variation in fading channels depend on communication scenario on propagation environment [1][2]. Rayleigh distribution can be used to describe small scale signal envelope variation in linear, non line-of-sight multipath fading environment and Rician distribution can good describe signal envelope variation in linear line-of-sight multipath fading environment.…”

Section: Introductionmentioning

confidence: 99%

Moments Of Microdiversity EGC Receivers And Macrodiversity SC Receiver Output Signal Over Gamma Shadowed Nakagami–m Multipath Fading Channel

Djordjevic

Jakšić

Matovic

et al. 2015

Journal of Electrical Engineering

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A system with macrodiversity selection combining (SC) receiver and for microdiversity equal gain combining (EGC) receivers is considered. Received signal is subjected, simultaneously to multipath fading and shadowing, resulting in signal envelope and signal power variation. Closed form expressions for moments of macrodiversity SC receiver output signal envelope are calculated. Numerical expressions are plotted to present the influences of Gamma shadowing severity and Nakagami-m severity on moments of proposed system output signal.

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“…For modelling of fast fading in most of the cases, Rayleigh, Rice, Nakagami-m and Weibull distribution is used, while for modelling of slow fading, Gamma distribution is used and it is significantly simpler from Lognormal distribution (Youssef et al, 1996;Panić et al, 2013). Rayleigh model is used for describing propagation conditions when there is no LOS.…”

Section: Introductionmentioning

confidence: 99%

System Performances in the Presence of One Fast Weibull and One Slow Gamma fading

Lekić¹,

Radovanović²,

Spalević³

et al. 2015

Proceedings of the International Scientific Conference - Synthesis 2015

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Abstract:This paper decribes the model of forming equivalent envelope of a signal at the entrance of the wireless digital telecommunication system in the presence of one fast Weibull and one slow Gamma fading. Probability density function (PDF) of random variable at the reception side has been determined for the described model. Dependence of the probability density function (PDF) of the parameters of fading (fading severity) and corresponding components power is analytically and graphically described. The influence of fading parameters on statistical characteristics of the received signal and quality of the signal detection in the entire communication system has been graphically presented. Apstrakt:Ovaj rad prikazuje model formiranja ekvivalentnog omotača signala na ulazu u prijemnik bezičnog digitalnog telekomunikacionog sistema, kada je istovremeno prisutan parametar Vejbulove raspodele i spor gama feding. Za dati model utvrđuje se funkcija gustine verovatnoće (PDF) slučajne promenljive na strani prijemnika. Zavisnost funkcije gustine verovatnoće feding parametara i snage odgovarajućih komponenata prikazana je analitički i grafički. U radu je dat grafički prikaz uticaja parametara fedinga na statističke karakteristike primljenog signala i kvalitet detekcije signala u celokupnom sistemu komunikacije.

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Fading and Interference Mitigation in Wireless Communications

Cited by 99 publications

References 0 publications

α-Q fading model: Statistical analisis of the first order

α-Q fading model: Statistical analisis of the first order

Moments Of Microdiversity EGC Receivers And Macrodiversity SC Receiver Output Signal Over Gamma Shadowed Nakagami–m Multipath Fading Channel

System Performances in the Presence of One Fast Weibull and One Slow Gamma fading

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