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