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Path Loss in Matlab???

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path loss matlab

Hi,
I am trying to simulate SISO communication with path loss. Following are the parameters involved.

n=3.5; (path loss exponent)
GtGr = 5dBi (transmit antenna gain times receive antenna gain)
fc = 2.5Ghz; (carrier freq)
d = 50m (distance between transmitter and receiver)

As we all know the basic equation for SISO without path loss is

y(t) = h x(t) + n(t);

and Path loss is given by

PL = (d^n) * (4*pi)^2 / (GtGr * (lambda)^2 ) ;

Plz tell me how and where should I include path loss in my simulation code?


Thanks
 

Re: path loss matlab

hi friend any idea on this . please share
 
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    mohe7

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include PL into h as a scalar. h' = h *PL, and use it to calculate y(t).
- b
 

hi
i am not very clear on this is h the impulse response, if it is , shouldnt there be a convolution sign between h and x(t).
 

if h is the impulse response (it is conventional to use h for impulse response), yes, it should be convolved with x(t). However, if h is in matrix form (corresponding to multiple paths), it could still be written as multiplication, which is the normal way of writing in wireless context.
- b
 

Please if any one can solve my crucial problem of introducing the path loss in the transmitted signal. I am able to find the received power by the known formula of subtracting the transmitted power with path loss. But the main problem is that to find the Bit error or symbol error rate we need to introduce path loss in the transmitted signal. The main issue is that the signal is in the vector form but path loss is a single value in dB. Now how to put the effect of path loss in the signal. I would highly appreciate for upcoming replies.
 

how to generate a rayleigh fading channel coefficient taking into consideration the change in h with distance and path loss exponent
 

Hi

Please show me how to include path loss factor to this form : (y = h*x + n)

Thank you
 

robintane said:
Hi

Please show me how to include path loss factor to this form : (y = h*x + n)

Thank you
Click to expand...

u could include the path loss in the channel coefficient h by generating a circular Gaussian distribution of zero-mean and unit variance CN(0,1) multiplied by d^(-v/2) where d is the distance between the source and the receiver and v is the path loss exponent.
 

eng_basem said:
u could include the path loss in the channel coefficient h by generating a circular Gaussian distribution of zero-mean and unit variance CN(0,1) multiplied by d^(-v/2) where d is the distance between the source and the receiver and v is the path loss exponent.
Click to expand...

Hi. Thank you for your reply.

With chanel Rayleigh fading and AWGN

%AWGN
n1 = 1/sqrt(2)*[randn(1,nr_data_bits) + j*randn(1,nr_data_bits)]*sigma;

%Rayleigh Channel
h1 = 1/sqrt(2)*[randn(1,nr_data_bits) + j*randn(1,nr_data_bits)];
y = h1*x + n1

How to include path loss based on distance (d) and path loss exponent (v)
 

robintane said:
Hi. Thank you for your reply.

With chanel Rayleigh fading and AWGN

%AWGN
n1 = 1/sqrt(2)*[randn(1,nr_data_bits) + j*randn(1,nr_data_bits)]*sigma;

%Rayleigh Channel
h1 = 1/sqrt(2)*[randn(1,nr_data_bits) + j*randn(1,nr_data_bits)];
y = h1*x + n1

How to include path loss based on distance (d) and path loss exponent (v)
Click to expand...

Before ur last line include the following:
h1 = h1* d^(-v/2);

and complete ur code normally
y = h1*x + n1
 

eng_basem said:
Before ur last line include the following:
h1 = h1* d^(-v/2);

and complete ur code normally
y = h1*x + n1
Click to expand...

Thank you very much.
Could you give me the paper that delivery this form ?
 

robintane said:
Thank you very much.
Could you give me the paper that delivery this form ?
Click to expand...

Power Provisioning and Relay Positioning for Two-Way Relay Channel With Analog Network Coding
IEEE SIGNAL PROCESSING LETTERS, VOL. 18, NO. 9, SEPTEMBER 2011
 
eng_basem said:
Power Provisioning and Relay Positioning for Two-Way Relay Channel With Analog Network Coding
IEEE SIGNAL PROCESSING LETTERS, VOL. 18, NO. 9, SEPTEMBER 2011
Click to expand...

Thank you very much
 

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