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On the stationarity and ergodicity of fading channel ... - IEEE Xplore

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The 14" <strong>IEEE</strong> 2003 International Symposium on Persona1,lndoor <strong>and</strong> Mobile Radio Communication Proceedings<br />

<strong>On</strong> <strong>the</strong> Stationarity <strong>and</strong> Ergodicity <strong>of</strong> Fading<br />

Channel Simulators Basing on Rice's<br />

Sum-<strong>of</strong>-Sinusoids<br />

Matthias Patzold<br />

Department <strong>of</strong> Iqforniation aiid Commuiiication Technology<br />

Faculty <strong>of</strong> Eugineering <strong>and</strong> Science. Agder University Collegc<br />

Grooseveien 36. N-4876 Grinistad, Norway<br />

E-mail: niattliias.paetzoldOliia.no<br />

Abstract - Channel simulators basing on Rice's sum<strong>of</strong>-sinusoids<br />

are playing an important role in <strong>fading</strong><br />

<strong>channel</strong> modelling. However, <strong>the</strong> parameters <strong>of</strong> <strong>the</strong><br />

sum-<strong>of</strong>-sinusoids have to be determined carefully to<br />

fully exploit <strong>the</strong> potential that this powerful procedure<br />

has to <strong>of</strong>fer. This paper presents general conditions<br />

under which <strong>the</strong> sum-<strong>of</strong>-sinusoids procedure results in<br />

a stationary <strong>and</strong> ergodic <strong>channel</strong> simulator. Moreover,<br />

with <strong>the</strong> help <strong>of</strong> <strong>the</strong> introduced conditions, several established<br />

parameter computations methods will be investigated<br />

with respect to <strong>the</strong>ir usability to design stationary<br />

<strong>and</strong> ergodic <strong>fading</strong> <strong>channel</strong> generators. It turns<br />

out t,hat. if <strong>and</strong> only if <strong>the</strong> gains <strong>and</strong> frequencies are constant.<br />

quantities <strong>and</strong> <strong>the</strong> phases are r<strong>and</strong>om variables,<br />

t,hen <strong>the</strong> sun-<strong>of</strong>-sinusoids defines a stationary <strong>and</strong> ergodic<br />

process.<br />

l


. <strong>the</strong> 14" <strong>IEEE</strong> 2003 International Symposium on Persona1,lndoor <strong>and</strong> Mobile Radio Communication Proceedings<br />

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It=]<br />

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The 14'" <strong>IEEE</strong> 2003 International Symposium on Personai.lndoor <strong>and</strong> Mobile Radio COmmuniMtion Proceedings<br />

4. If t = t,, is fired iind Q,.,, is a r<strong>and</strong>oni variable. <strong>the</strong>n<br />

,ij(fiI) = (fi,(t) I t = to] is ii r<strong>and</strong>om variable.<br />

'1. If I,otli f = t.,l aiid H,.,, iilo fixed: t,lien fi,(to) is a real<br />

lilllllller alld rqual to i;,(t[]).<br />

Fiji r,hc perioriuiuice e\duat,ion uf <strong>the</strong> stochastic simulation<br />

iiioclcl: it, is important to know <strong>the</strong> conditions on which<br />

<strong>the</strong> stocIi?istic: process fit(t) is stationary <strong>and</strong> ergodic. A<br />

i:leilr iiiiilerst<strong>and</strong>ing <strong>of</strong> statimary <strong>and</strong> ergodic processes is<br />

iiiip)rt,ant, for tlie intentioil <strong>of</strong> <strong>the</strong> papcr. We will <strong>the</strong>refore<br />

I-c\-ii-n. <strong>the</strong>se t,wu twins I,rirfly.<br />

.4. 5tntroiioi?j<br />

IV. PERF0RMAWC.E CRITERIA<br />

;I;(+) is said to be stect-sense station,.<br />

id jL,(f + c) have <strong>the</strong> same statistics for<br />

;illy ,' E R. A sss prcx litis <strong>the</strong> following properties:<br />

(i) TIP brst-orcler c1eiisit.y <strong>of</strong> [i;(t) is independent, <strong>of</strong> time:<br />

I.


(11)]<br />

The 1 4Ih <strong>IEEE</strong> 2003 International Symposium on Persona1,lndoor <strong>and</strong> Mobile Radio Communication Proceedings<br />

.A wiiip;wison <strong>of</strong> (IN) ancl (18) slioms that fii(t) is autocor- out in Fig. 1. Therefore; all toge<strong>the</strong>r 2" - 1 = 7 classes<br />

rdiitioii crg


The 14" <strong>IEEE</strong> 2003 lntemalional Symposium on Personal.lndoor <strong>and</strong> Mobile Radio Communication Proceedings<br />

irhk til replace <strong>the</strong> dctermiuistic phases' by r<strong>and</strong>om<br />

~iliascs fl,.,,. In this mse. <strong>the</strong> .lakes niethod results in a<br />

Class I i:liitniiei siniiilator, which is SSS; mean-ergodic, <strong>and</strong><br />

iiiitoi:i,rrrlatii)ii-n.godic. However. this is in contrast to <strong>the</strong><br />

i~iiirlysis <strong>of</strong> .lakes' simulator in [12]; where it has been assii~~d<br />

t,liirt tlrc gaiiis c?.,~ are rnndo'in variables. But this<br />

iissiiiiipt.ioii is not in t,he sense <strong>of</strong> <strong>the</strong> origiiial Jakes method<br />

iiiiil leads not to <strong>the</strong> desired resnlts.<br />

Piwiiuier,cr computat,iun mctlrods<br />

TAHIX I1<br />

ovEwiI;\v oi? P.~H.W~JTER COMPUTATION<br />

\I t:~I1iO1)23 ,AX13 THE SI'ifllSTICAi. PROPERTIES OF<br />

'THE ItESUL'I'INC: CHARNEL SIMULAI'ORS<br />

SSS<br />

VII. CONCLUSION<br />

Mean- Auto-<br />

WSS ergodic carrel..<br />

ergodic<br />

111 this paper. tlie stationiiry <strong>and</strong> ergodic properties <strong>of</strong><br />

Raj-lcigli <strong>fading</strong> ch21nnel simulators using <strong>the</strong> sum-<strong>of</strong>siiiiisoitls<br />

priiiciple have been <strong>and</strong>ysed. Depending on<br />

n-lint,licr t,lie model parameters are r<strong>and</strong>om variables or<br />

uuistnnt, giiiuitities, altoge<strong>the</strong>r seven classes <strong>of</strong> stochastic<br />

rkiiiiinel siinulat~ors hiwe heen defined. It turned out that if<br />

r~iid oiily if <strong>the</strong> phases are r<strong>and</strong>om variables <strong>and</strong> <strong>the</strong> o<strong>the</strong>r<br />

iiiodid parameters are constitiit, <strong>the</strong>n <strong>the</strong> <strong>channel</strong> simulator<br />

is Ijotli stationary <strong>and</strong> ergodic. If <strong>the</strong> frequencies<br />

arc ridom variablesl <strong>the</strong>n tlie stochastic <strong>channel</strong> simulat,(ir<br />

is stationary but non-autocorrelation-ergodic. The<br />

however. is given when <strong>the</strong> ga,ins are r<strong>and</strong>oni<br />

wiiiililrs aiirl t.he o<strong>the</strong>r paranieters are constant. Theii, a<br />

uiiii-stiitioliaiy stocliast,ic clia~i~iel simulator is obtained.<br />

rcstilts presented here are <strong>of</strong> fuiidairieiital importance<br />

fur illi: perforinancr evaluation <strong>of</strong> existing design methods.<br />

hlureover. tlie results give strategic: guidelines to engineers<br />

for tlie developmeiit <strong>of</strong> new design methods.<br />

REFERENCES<br />

S. 0. Rice, "Ma<strong>the</strong>matical analysis <strong>of</strong> r<strong>and</strong>om iioisc..' Bell Syd<br />

Tech. J.. vol. 23, pp. 282-332. .Jul. 1944.<br />

S. 0. Rice, "Ma<strong>the</strong>matical analysis <strong>of</strong> r<strong>and</strong>om mise:' Bell Sy,~l.<br />

Tech. J., vol. 24. pp. 46-156. Jan lY45.<br />

W. C. Jakes. Ed.. Micmulaur: Mobile Comrnunzcations. Piscataway,<br />

NJ: <strong>IEEE</strong> Press. 1993.<br />

hl. Pitzold. U. Killat. F. Lauc. aid Y. 1,i. ..<strong>On</strong> <strong>the</strong> statistical<br />

properties <strong>of</strong> detelminislic siniiilatioii ~iiodels for iriobile <strong>fading</strong><br />

chaoncis." <strong>IEEE</strong> Rms. Veh. Tecirnol.. voi~ 47. 110. 1. pi). 4i?-<br />

209. i'eb. IWX.<br />

P. Heher. "A statistical discrete-time model for <strong>the</strong> 7%<br />

multipath <strong>channel</strong>." <strong>IEEE</strong> Rans. Veh. Teehnol.. vol. 41.<br />

pp. 461-488. Nov. 1892.<br />

hl. Pitzold. Mobzle Fading Chanmls. Chichester: .John Wile?<br />

82 Sons, 2002.<br />

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directioii-selective <strong>and</strong> frecliiency~selective niohile radio cliiiiinels."<br />

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433-1142, Nov. 2001. '<br />

hl. Pitzold. "System Functions <strong>and</strong> Characteristic Quantities <strong>of</strong><br />

<strong>of</strong> Spatial Deterministic Gaussian Uricorrelated Scattcring Processes,"<br />

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1988. Germany (FR). Proc. Kleinheubaclrer Reports <strong>of</strong>tlre Gcrinan<br />

PTT. Darmstadt. Germany. 1980. vol. 32. pp. 173-483<br />

h.1. Pitzold, IJ. Killat. <strong>and</strong> I:. Lonc. "A deterininistic digit,ai sindation<br />

model for Siiauki processes wifh applicatiw to it sha&<br />

owed Rayleigh laird mobile radio clrunnel.'' <strong>IEEE</strong> 7i.m~. Veh.<br />

Techmi.. vol. 46. no. 2. pp 318-331. May 1996.<br />

Y. R. Zheng <strong>and</strong> C. Xiao, "improved nrodels for <strong>the</strong> $er)<br />

toll <strong>of</strong> milltipie oncol-re~ated nayyleigii fadilrbr waverorms.:' I<br />

Communicallons Letters. vol. ti. no. 6. pp. %ti-258. J,m 1002<br />

RI. F. Pop <strong>and</strong> N. C. Beaulieu. -'Limitatiaua oisuiii-<strong>of</strong>~sinosoids<br />

<strong>fading</strong> chairiiel simulators;" <strong>IEEE</strong> 7Sans. 011 ConwnzLnzcafio7ir.<br />

49, no. 4, pp. 699-708. ~pr. 2001<br />

P. hl. Crespo <strong>and</strong> J. Jinrhez. "Computer simulation <strong>of</strong> radio<br />

<strong>channel</strong>s using a liariiionic decomposition technique." IXEE<br />

Xns. Veh. Teehnol., vol. 14. no. 3, pp. 414-410. Aug. lY95.<br />

R. H. Clarke. "A statistical <strong>the</strong>ory <strong>of</strong> mobile-radio reception.''<br />

Bell Syst. Tech. Journal. vol. 47. pp. 957-1000. Jul. /Aug. l96X.<br />

A. Papoulis <strong>and</strong> S. U. Pillai. Probabilitg. R<strong>and</strong>om Variables .<br />

<strong>and</strong> Stochastic Processes. New York: h?lcGmw-tIill. 4th edition.<br />

2002.<br />

W. R. Bennett. "Distribution <strong>of</strong> <strong>the</strong> sum <strong>of</strong> raiidonrly phased<br />

components," Quart. Appl. A4ath..' vol. 5. pp. 385-39% hlq<br />

1948.<br />

hl. Pitzold.'U. Killat. F. Law. <strong>and</strong> Y. LI. "<strong>On</strong> <strong>the</strong> problems<br />

uf Monte Carlo method based sinidation models for nwhile ritdio<br />

chnnnels." in Proc. IEEF 4th Int. Synzp. on Spread SJEC.<br />

trum Techniqzies k Applzcntions. ISSSTA '96. hkyerre. Ccrmany,<br />

Sept. 1996, pp. 1214-1230.<br />

M. Piitzold <strong>and</strong> F. Lam, "Statistical properties <strong>of</strong> .lakes. <strong>fading</strong><br />

<strong>channel</strong> simulator." in Proc. <strong>IEEE</strong> 48th Veh. Technol. ConJ.,<br />

VTC'98. Ottawa. <strong>On</strong>tario. Canada. May 1998, pp. 712-718.<br />

'11. aliould be noted that. <strong>the</strong> phases Oz.,, in Jakes' <strong>channel</strong> simuiator<br />

are equal to 0 lor ali i = 1. 2 <strong>and</strong> Ti=<br />

1, 2, . . . , N, [le].<br />

1525

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