Question

Using MATLAB plot path loss prediction versus distance and log distance for a cellular system you are designing with the following assumptions: PCS frequency (1900 MHz), base height 20 m, mobile 2 m, suburban area, flat terrain with moderate tree density.

Answer 1

work varargout = URBANPtHLOSSMDLS(vargin)

URBANPATHLOSSMODELS M-petition for URBANPATHLOSSMODELS.fig

gui_Sinton = 1;

gui_St = strct('gui_Name', mfilename, ...

'gui_Sileton', gui_Singleton, ...

'gui_OpningFcn', @URBANPATHLOSSMODELS_OpeningFcn, ...

'gui_OutptFcn', @URBANPATHLOSSMODELS_OutputFcn, ...

'gui_LaytFcn', [] , ...

'gui_Callbck', []);

in the event that nargn && ischr(vargin{1})

gui_Stat.gui_Callback = str2func(varargin{1});

end

on the off chance that nargout

[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});

else

gui_mainfcn(gui_State, varargin{:});

end

% End instatement code - DO NOT EDIT

% - Executes just before URBANPATHLOSSMODELS is made noticeable.

work URBANPATHLOSSMODELS_OpeningFcn(hObject, eventdata, handles, varargin)

% This capacity has no yield args, see OutputFcn.

% hObject handle to figure

% eventdata held - to be characterized in a future form of MATLAB

% handles structure with handles and client information (see GUIDATA)

% varargin charge line contentions to URBANPATHLOSSMODELS (see VARARGIN)

% Choose default charge line yield for URBANPATHLOSSMODELS

handles.output = hObject;

% Update handles structure

guidata(hObject, handles);

% UIWAIT influences URBANPATHLOSSMODELS to sit tight for client reaction (see UIRESUME)

% uiwait(handles.figure1);

% - Outputs from this capacity are come back to the summon line.

work varargout = URBANPATHLOSSMODELS_OutputFcn(hObject, eventdata, handles)

% varargout cell exhibit for returning yield args (see VARARGOUT);

% hObject handle to figure

% eventdata saved - to be characterized in a future variant of MATLAB

% handles structure with handles and client information (see GUIDATA)

% Get default charge line yield from handles structure

varargout{1} = handles.output;

work edit1_Callback(hObject, eventdata, handles)

% hObject handle to edit1 (see GCBO)

% eventdata saved - to be characterized in a future variant of MATLAB

% handles structure with handles and client information (see GUIDATA)

% Hints: get(hObject,'String') returns substance of edit1 as content

% str2double(get(hObject,'String')) returns substance of edit1 as a twofold

% - Executes amid question creation, subsequent to setting all properties.

work edit1_CreateFcn(hObject, eventdata, handles)

% hObject handle to edit1 (see GCBO)

% eventdata held - to be characterized in a future form of MATLAB

% handles purge - handles not made until after all CreateFcns called

% Hint: alter controls generally have a white foundation on Windows.

% See ISPC and COMPUTER.

on the off chance that ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

set(hObject,'BackgroundColor','white');

end

work edit2_Callback(hObject, eventdata, handles)

% hObject handle to edit2 (see GCBO)

% eventdata held - to be characterized in a future rendition of MATLAB

% handles structure with handles and client information (see GUIDATA)

% Hints: get(hObject,'String') returns substance of edit2 as content

% str2double(get(hObject,'String')) returns substance of edit2 as a twofold

% - Executes amid protest creation, in the wake of setting all properties.

work edit2_CreateFcn(hObject, eventdata, handles)

% hObject handle to edit2 (see GCBO)

% eventdata saved - to be characterized in a future variant of MATLAB

% handles exhaust - handles not made until after all CreateFcns called

% Hint: alter controls normally have a white foundation on Windows.

% See ISPC and COMPUTER.

in the event that ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

set(hObject,'BackgroundColor','white');

end

work edit3_Callback(hObject, eventdata, handles)

% hObject handle to edit3 (see GCBO)

% eventdata saved - to be characterized in a future adaptation of MATLAB

% handles structure with handles and client information (see GUIDATA)

% Hints: get(hObject,'String') returns substance of edit3 as content

% str2double(get(hObject,'String')) returns substance of edit3 as a twofold

% - Executes amid question creation, in the wake of setting all properties.

work edit3_CreateFcn(hObject, eventdata, handles)

% hObject handle to edit3 (see GCBO)

% eventdata saved - to be characterized in a future adaptation of MATLAB

% handles discharge - handles not made until after all CreateFcns called

% Hint: alter controls for the most part have a white foundation on Windows.

% See ISPC and COMPUTER.

in the event that ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

set(hObject,'BackgroundColor','white');

end

work edit4_Callback(hObject, eventdata, handles)

% hObject handle to edit4 (see GCBO)

% eventdata saved - to be characterized in a future variant of MATLAB

% handles structure with handles and client information (see GUIDATA)

% Hints: get(hObject,'String') returns substance of edit4 as content

% str2double(get(hObject,'String')) returns substance of edit4 as a twofold

% - Executes amid question creation, subsequent to setting all properties.

work edit4_CreateFcn(hObject, eventdata, handles)

% hObject handle to edit4 (see GCBO)

% eventdata held - to be characterized in a future form of MATLAB

% handles purge - handles not made until after all CreateFcns called

% Hint: alter controls ordinarily have a white foundation on Windows.

% See ISPC and COMPUTER.

on the off chance that ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

set(hObject,'BackgroundColor','white');

end

% - Executes on catch press in pushbutton1.

work pushbutton1_Callback(hObject, eventdata, handles)

% hObject handle to pushbutton1 (see GCBO)

% eventdata saved - to be characterized in a future adaptation of MATLAB

% handles structure with handles and client information (see GUIDATA)

%% Free Space Model Simulation

% clear figure;

Dist=get(handles.edit1,'string');% Get Distance in Km

Dist= str2num(Dist);

Dist_m=Dist*1000; % Convert it into meters

Dist_Log_Km= log10(Dist); % Distance in Log Scale (for Km)

Dist_Log_Meter=log10(Dist_m); % Distance in Log Scale (FOr meters)

% disp(Dist)

% disp(Dist_m)

% disp(Dist_Log_Km)

% disp(Dist_Log_Meter)

c=3*1e8;

Freq=get(handles.edit2,'string'); % Get Carrier Frequency in MHz

Freq= str2num(Freq);

% disp(Freq)

lamda=c/(Freq*1e6); % Calculate Wavelength

% disp(lamda)

TX_Ht=get(handles.edit3,'string'); % Get Carrier Frequency in MHz

TX_Ht= str2num(TX_Ht);

% disp(TX_Ht)

RX_Ht=get(handles.edit4,'string'); % Get Carrier Frequency in MHz

RX_Ht= str2num(RX_Ht);

% disp(RX_Ht)

% The Path Loss for the free space when the recieving wires are solidarity pick up is given by,

FreeSpace=10*log10((Dist_m*pi*4).^2/lamda^2);

% disp(FreeSpace)

axes(handles.axes1);

handles.axes1=min(Dist_Log_Km):max(Dist_Log_Km);

plot(Dist_Log_Km,FreeSpace,'g-*');

% Equation (4.6) From "Remote COmmunication, Principles and Practice" By Theodore Rappaport

title('Pathloss forecast by Free space demonstrate for Urban Area');

xlabel('Distance log10(d)');

ylabel('Path misfortune (dB)');

legend('Free Space Loss');

% hang on

% - Executes on catch press in pushbutton2.

work pushbutton2_Callback(hObject, eventdata, handles)

% hObject handle to pushbutton2 (see GCBO)

% eventdata held - to be characterized in a future rendition of MATLAB

% handles structure with handles and client information (see GUIDATA)

%% Okumura Model

% clear figure;

Dist=get(handles.edit1,'string');% Get Distance in Km

Dist= str2num(Dist);

Dist_m=Dist*1000; % Convert it into meters

Dist_Log_Km= log10(Dist); % Distance in Log Scale (for Km)

Dist_Log_Meter=log10(Dist_m); % Distance in Log Scale (FOr meters)

% disp(Dist)

% disp(Dist_m)

% disp(Dist_Log_Km)

% disp(Dist_Log_Meter)

c=3*1e8;

Freq=get(handles.edit2,'string'); % Get Carrier Frequency in MHz

Freq= str2num(Freq);

% disp(Freq)

lamda=c/(Freq*1e6); % Calculate Wavelength

% disp(lamda)

TX_Ht=get(handles.edit3,'string'); % Get Carrier Frequency in MHz

TX_Ht= str2num(TX_Ht);

% disp(TX_Ht)

RX_Ht=get(handles.edit4,'string'); % Get Carrier Frequency in MHz

RX_Ht= str2num(RX_Ht);

OKU_LOSS=20*log10(lamda^2/(4*pi)^2*Dist_m)+5-20*log10(TX_Ht/200)- 10*log10(RX_Ht/3)- 9;

% Okumura Loss Model Equation

axes(handles.axes1);

handles.axes1=min(Dist_Log_Km):max(Dist_Log_Km);

plot(Dist_Log_Km,OKU_LOSS,'- *');

% Equation (4.6) From "Remote COmmunication, Principles and Practice" By Theodore Rappaport

title('Pathloss expectation by Okumura show for Urban Area');

xlabel('Distance log10(d)');

ylabel('Path misfortune (dB)');

legend('Okumura Model');

% hang on

% - Executes on catch press in pushbutton3.

work pushbutton3_Callback(hObject, eventdata, handles)

% hObject handle to pushbutton3 (see GCBO)

% eventdata saved - to be characterized in a future form of MATLAB

% handles structure with handles and client information (see GUIDATA)

%% HATA's model:

Dist=get(handles.edit1,'string');% Get Distance in Km

Dist= str2num(Dist);

Dist_m=Dist*1000; % Convert it into meters

Dist_Log_Km= log10(Dist); % Distance in Log Scale (for Km)

Dist_Log_Meter=log10(Dist_m); % Distance in Log Scale (FOr meters)

% disp(Dist)

% disp(Dist_m)

% disp(Dist_Log_Km)

% disp(Dist_Log_Meter)

c=3*1e8;

Freq=get(handles.edit2,'string'); % Get Carrier Frequency in MHz

Freq= str2num(Freq);

% disp(Freq)

lamda=c/(Freq*1e6); % Calculate Wavelength

% disp(lamda)

TX_Ht=get(handles.edit3,'string'); % Get Carrier Frequency in MHz

TX_Ht= str2num(TX_Ht);

% disp(TX_Ht)

RX_Ht=get(handles.edit4,'string'); % Get Carrier Frequency in MHz

RX_Ht= str2num(RX_Ht);

% Hata Model Equation

PAR_H=3.2*((log10(11.75*RX_Ht))^2)- 4.97;

Hata_MOD=69.55+26.16*log10(Freq)- 13.82*log10(TX_Ht)- PAR_H+((44.9-6.55*log10(TX_Ht))

work varargout = URBANPtHLOSSMDLS(vargin)

URBANPATHLOSSMODELS M-petition for URBANPATHLOSSMODELS.fig

gui_Sinton = 1;

gui_St = strct('gui_Name', mfilename, ...

'gui_Sileton', gui_Singleton, ...

'gui_OpningFcn', @URBANPATHLOSSMODELS_OpeningFcn, ...

'gui_OutptFcn', @URBANPATHLOSSMODELS_OutputFcn, ...

'gui_LaytFcn', [] , ...

'gui_Callbck', []);

in the event that nargn && ischr(vargin{1})

gui_Stat.gui_Callback = str2func(varargin{1});

end

on the off chance that nargout

[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});

else

gui_mainfcn(gui_State, varargin{:});

end

% End instatement code - DO NOT EDIT

% - Executes just before URBANPATHLOSSMODELS is made noticeable.

work URBANPATHLOSSMODELS_OpeningFcn(hObject, eventdata, handles, varargin)

% This capacity has no yield args, see OutputFcn.

% hObject handle to figure

% eventdata held - to be characterized in a future form of MATLAB

% handles structure with handles and client information (see GUIDATA)

% varargin charge line contentions to URBANPATHLOSSMODELS (see VARARGIN)

% Choose default charge line yield for URBANPATHLOSSMODELS

handles.output = hObject;

% Update handles structure

guidata(hObject, handles);

% UIWAIT influences URBANPATHLOSSMODELS to sit tight for client reaction (see UIRESUME)

% uiwait(handles.figure1);

% - Outputs from this capacity are come back to the summon line.

work varargout = URBANPATHLOSSMODELS_OutputFcn(hObject, eventdata, handles)

% varargout cell exhibit for returning yield args (see VARARGOUT);

% hObject handle to figure

% eventdata saved - to be characterized in a future variant of MATLAB

% handles structure with handles and client information (see GUIDATA)

% Get default charge line yield from handles structure

varargout{1} = handles.output;

work edit1_Callback(hObject, eventdata, handles)

% hObject handle to edit1 (see GCBO)

% eventdata saved - to be characterized in a future variant of MATLAB

% handles structure with handles and client information (see GUIDATA)

% Hints: get(hObject,'String') returns substance of edit1 as content

% str2double(get(hObject,'String')) returns substance of edit1 as a twofold

% - Executes amid question creation, subsequent to setting all properties.

work edit1_CreateFcn(hObject, eventdata, handles)

% hObject handle to edit1 (see GCBO)

% eventdata held - to be characterized in a future form of MATLAB

% handles purge - handles not made until after all CreateFcns called

% Hint: alter controls generally have a white foundation on Windows.

% See ISPC and COMPUTER.

on the off chance that ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

set(hObject,'BackgroundColor','white');

end

work edit2_Callback(hObject, eventdata, handles)

% hObject handle to edit2 (see GCBO)

% eventdata held - to be characterized in a future rendition of MATLAB

% handles structure with handles and client information (see GUIDATA)

% Hints: get(hObject,'String') returns substance of edit2 as content

% str2double(get(hObject,'String')) returns substance of edit2 as a twofold

% - Executes amid protest creation, in the wake of setting all properties.

work edit2_CreateFcn(hObject, eventdata, handles)

% hObject handle to edit2 (see GCBO)

% eventdata saved - to be characterized in a future variant of MATLAB

% handles exhaust - handles not made until after all CreateFcns called

% Hint: alter controls normally have a white foundation on Windows.

% See ISPC and COMPUTER.

in the event that ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

set(hObject,'BackgroundColor','white');

end

work edit3_Callback(hObject, eventdata, handles)

% hObject handle to edit3 (see GCBO)

% eventdata saved - to be characterized in a future adaptation of MATLAB

% handles structure with handles and client information (see GUIDATA)

% Hints: get(hObject,'String') returns substance of edit3 as content

% str2double(get(hObject,'String')) returns substance of edit3 as a twofold

% - Executes amid question creation, in the wake of setting all properties.

work edit3_CreateFcn(hObject, eventdata, handles)

% hObject handle to edit3 (see GCBO)

% eventdata saved - to be characterized in a future adaptation of MATLAB

% handles discharge - handles not made until after all CreateFcns called

% Hint: alter controls for the most part have a white foundation on Windows.

% See ISPC and COMPUTER.

in the event that ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

set(hObject,'BackgroundColor','white');

end

work edit4_Callback(hObject, eventdata, handles)

% hObject handle to edit4 (see GCBO)

% eventdata saved - to be characterized in a future variant of MATLAB

% handles structure with handles and client information (see GUIDATA)

% Hints: get(hObject,'String') returns substance of edit4 as content

% str2double(get(hObject,'String')) returns substance of edit4 as a twofold

% - Executes amid question creation, subsequent to setting all properties.

work edit4_CreateFcn(hObject, eventdata, handles)

% hObject handle to edit4 (see GCBO)

% eventdata held - to be characterized in a future form of MATLAB

% handles purge - handles not made until after all CreateFcns called

% Hint: alter controls ordinarily have a white foundation on Windows.

% See ISPC and COMPUTER.

on the off chance that ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

set(hObject,'BackgroundColor','white');

end

% - Executes on catch press in pushbutton1.

work pushbutton1_Callback(hObject, eventdata, handles)

% hObject handle to pushbutton1 (see GCBO)

% eventdata saved - to be characterized in a future adaptation of MATLAB

% handles structure with handles and client information (see GUIDATA)

%% Free Space Model Simulation

% clear figure;

Dist=get(handles.edit1,'string');% Get Distance in Km

Dist= str2num(Dist);

Dist_m=Dist*1000; % Convert it into meters

Dist_Log_Km= log10(Dist); % Distance in Log Scale (for Km)

Dist_Log_Meter=log10(Dist_m); % Distance in Log Scale (FOr meters)

% disp(Dist)

% disp(Dist_m)

% disp(Dist_Log_Km)

% disp(Dist_Log_Meter)

c=3*1e8;

Freq=get(handles.edit2,'string'); % Get Carrier Frequency in MHz

Freq= str2num(Freq);

% disp(Freq)

lamda=c/(Freq*1e6); % Calculate Wavelength

% disp(lamda)

TX_Ht=get(handles.edit3,'string'); % Get Carrier Frequency in MHz

TX_Ht= str2num(TX_Ht);

% disp(TX_Ht)

RX_Ht=get(handles.edit4,'string'); % Get Carrier Frequency in MHz

RX_Ht= str2num(RX_Ht);

% disp(RX_Ht)

% The Path Loss for the free space when the recieving wires are solidarity pick up is given by,

FreeSpace=10*log10((Dist_m*pi*4).^2/lamda^2);

% disp(FreeSpace)

axes(handles.axes1);

handles.axes1=min(Dist_Log_Km):max(Dist_Log_Km);

plot(Dist_Log_Km,FreeSpace,'g-*');

% Equation (4.6) From "Remote COmmunication, Principles and Practice" By Theodore Rappaport

title('Pathloss forecast by Free space demonstrate for Urban Area');

xlabel('Distance log10(d)');

ylabel('Path misfortune (dB)');

legend('Free Space Loss');

% hang on

% - Executes on catch press in pushbutton2.

work pushbutton2_Callback(hObject, eventdata, handles)

% hObject handle to pushbutton2 (see GCBO)

% eventdata held - to be characterized in a future rendition of MATLAB

% handles structure with handles and client information (see GUIDATA)

%% Okumura Model

% clear figure;

Dist=get(handles.edit1,'string');% Get Distance in Km

Dist= str2num(Dist);

Dist_m=Dist*1000; % Convert it into meters

Dist_Log_Km= log10(Dist); % Distance in Log Scale (for Km)

Dist_Log_Meter=log10(Dist_m); % Distance in Log Scale (FOr meters)

% disp(Dist)

% disp(Dist_m)

% disp(Dist_Log_Km)

% disp(Dist_Log_Meter)

c=3*1e8;

Freq=get(handles.edit2,'string'); % Get Carrier Frequency in MHz

Freq= str2num(Freq);

% disp(Freq)

lamda=c/(Freq*1e6); % Calculate Wavelength

% disp(lamda)

TX_Ht=get(handles.edit3,'string'); % Get Carrier Frequency in MHz

TX_Ht= str2num(TX_Ht);

% disp(TX_Ht)

RX_Ht=get(handles.edit4,'string'); % Get Carrier Frequency in MHz

RX_Ht= str2num(RX_Ht);

OKU_LOSS=20*log10(lamda^2/(4*pi)^2*Dist_m)+5-20*log10(TX_Ht/200)- 10*log10(RX_Ht/3)- 9;

% Okumura Loss Model Equation

axes(handles.axes1);

handles.axes1=min(Dist_Log_Km):max(Dist_Log_Km);

plot(Dist_Log_Km,OKU_LOSS,'- *');

% Equation (4.6) From "Remote COmmunication, Principles and Practice" By Theodore Rappaport

title('Pathloss expectation by Okumura show for Urban Area');

xlabel('Distance log10(d)');

ylabel('Path misfortune (dB)');

legend('Okumura Model');

% hang on

% - Executes on catch press in pushbutton3.

work pushbutton3_Callback(hObject, eventdata, handles)

% hObject handle to pushbutton3 (see GCBO)

% eventdata saved - to be characterized in a future form of MATLAB

% handles structure with handles and client information (see GUIDATA)

%% HATA's model:

Dist=get(handles.edit1,'string');% Get Distance in Km

Dist= str2num(Dist);

Dist_m=Dist*1000; % Convert it into meters

Dist_Log_Km= log10(Dist); % Distance in Log Scale (for Km)

Dist_Log_Meter=log10(Dist_m); % Distance in Log Scale (FOr meters)

% disp(Dist)

% disp(Dist_m)

% disp(Dist_Log_Km)

% disp(Dist_Log_Meter)

c=3*1e8;

Freq=get(handles.edit2,'string'); % Get Carrier Frequency in MHz

Freq= str2num(Freq);

% disp(Freq)

lamda=c/(Freq*1e6); % Calculate Wavelength

% disp(lamda)

TX_Ht=get(handles.edit3,'string'); % Get Carrier Frequency in MHz

TX_Ht= str2num(TX_Ht);

% disp(TX_Ht)

RX_Ht=get(handles.edit4,'string'); % Get Carrier Frequency in MHz

RX_Ht= str2num(RX_Ht);

% Hata Model Equation

PAR_H=3.2*((log10(11.75*RX_Ht))^2)- 4.97;

Hata_MOD=69.55+26.16*log10(Freq)- 13.82*log10(TX_Ht)- PAR_H+((44.9-6.55*log10(TX_Ht))