Integrated Wireless-pon access Network Architectures Milos Milosavljevic

%
 
%% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
function
fadingcoeff=genh(I,Dop,tb)
fdmax = Dop;

---

 
175 
N = 100;
t = tb:tb:tb*I;
len = length(t);
theta = rand(1,N)*2*pi;
% phase of each sinusoid
fd = cos(2*pi*((1:N)/N))*fdmax;
E = exp(j.*(2*pi*fd(:)*t(:)'+repmat(theta(:),1,len)));
E = E/sqrt(N);
fadingcoeff = sum(E);
% sum of sinusoids from Jakes Model
 
end 
 
 
 
 
 
 

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176 
 
 
A.4
 
References 
[1] 
MATLAB Central
(Online). Available: http://www.mathworks.co.uk/
 

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177 
 Appendix
B
B
Appendix B presents the path loss calculations based on emperical models. These were 
used in chapter 6 to estimate the maximum transmission distance across the overlapping 
cell circumference with constant wireless receiver noise floor. 
 
B.1
 
Wireless channel Path Loss Calculations 
An empirical based path los model described in [1] is experimental data collected gathered 
across typical sub-urban area. The model was initially derived at 1.9 GHz transmission however 
further extensions were followed to support higher frequencies up to 5 GHz and different 
antenna heights [2]. To that extent, the path loss as a function of distance can be derived as 
shown in B.1: 
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