Menentukan Coverage Macro Cell Berdasarkan Okumura Hata Di Matlab

Catatan

BAB 1 Pendahuluan

1.1 Latar Belakang

1.2 Rumusan Masalah

1.3 Tujuan

1.4 Manfaat

1.5 Ruang Lingkup dan Batasan

BAB 2 Tinjauan Pustaka

2.1 Kuat Sinyal

2.3 Hata Path Loss

2.4 Link Budget

2.5 MATLAB

BAB 3 Metode Percobaan

3.1 Tempat dan Waktu Percobaan

3.2 Alat

3.3 Program

%Hata Model%Frequency 150 – 1000 (MHz)
f = 900;
%Base station height 30 – 200 (m)Hb = 40;%Mobile Height 1 – 10 (m)Hm = 1.5;%Distance 1 – 20 (km)d = 1:20;%Urban Area Loss small medium city (dB)asm = (((1.1log10(f))-0.7)Hm)-((1.56log10(f))-0.8);Lusm = 69.55 + (26.16log10(f)) – (13.82log10(Hb)) – asm + ((44.9 – (6.55log10(Hb)))*log10(d));%Urban Area Loss large city (dB)if f <= 200al = (8.29(log10(1.54Hm).^2))-1.1;Lul = 69.55 + (26.16log10(f)) – (13.82log10(Hb)) – al + ((44.9 – (6.55log10(Hb)))log10(d));else if f >= 400al = (3.2(log10(11.75Hm).^2))-4.97;Lul = 69.55 + (26.16log10(f)) – (13.82log10(Hb)) – al + ((44.9 – (6.55log10(Hb)))log10(d));else‘frequency range undefine’;end%Suburban Area Loss small medium city (dB)Lsusm = Lusm – (2*(log10(f/28).^2))-5.4;%Suburban Area large city (dB)Lsul = Lul – (2*(log10(f/28).^2))-5.4;%Rural Area small medium city (Quasi-Open) (dB)Lrqosm = Lusm – (4.78(log10(f).^2))+(18.33log10(f))-35.94;%Rural Area large city (Quasi-Open) (dB)Lrqol = Lul – (4.78(log10(f).^2))+(18.33log10(f))-35.94;%Rural Area small medium city (Open Area) (dB)Lrosm = Lusm – (4.78(log10(f).^2))+(18.33log10(f))-40.94;%Rural Area large city (Open Area) (dB)Lrol = Lul – (4.78(log10(f).^2))+(18.33log10(f))-40.94;subplot(2,1,1);plot(d,Lusm,d,Lsusm,d,Lrqosm,d,Lrosm);grid on;subplot(2,1,2);plot(d,Lul,d,Lsul,d,Lrqol,d,Lrol);grid on;
%Product Loss%u = urban %s = surban
%r = rural
%Total Path Loss (dB)Lptu = Lul;Lpts = Lsul;Lptr = Lrol;%Building Attenuation (dB)Abdu = 15;Abds = 12;Abdr = 0;%Vhide Attenuation (dB)Avu = 0;Avs = 0;Avr = 0;%Body Attenuation (dB)Abu = 2;Abs = 2;Abr = 2;%Fade Margin (dB)Mfu = 5.6;Mfs = 5.6;Mfr = 5.6;%Feeder loss per meter (dB/m)Lf_m = 0.0646;%Feeder loss (dB)Lf = Hb*Lf_m;%Product Loss (dB)Lpu = Lptu + Abdu + Avu + Abu + Mfu + Lf;Lps = Lpts + Abds + Avs + Abs + Mfs + Lf;Lpr = Lptr + Abdr + Avr + Abr + Mfr + Lf;
%MS_BS RX Power%u = urban %s = surban
%r = rural
%MS TX Power (dBm)Pm = 30;%MS Antenna Gain (dBi)Gm = 2;%MS Feeder Loss (dB)Lm = 0;%BS TX Power (dBm)Pb = 47;%BS Antenna Gain (dBi)Gb = 20;%BS Diversity Gain (dB)Gd = 3.5;%BS Duplexer Loss (dB)Ld = 0.8;%BS Jumper/Connector Loss (dB)Lj = 0.9;%BS TX Filter Loss (dB)Ltf = 2.3;%Other Loss (dB)Lo = 0;%BS RX PowerSbu = Pm + Gm – Lm + Gb + Gd – Ld – Lj – Lpu – Lo;Sbs = Pm + Gm – Lm + Gb + Gd – Ld – Lj – Lps – Lo;Sbr = Pm + Gm – Lm + Gb + Gd – Ld – Lj – Lpr – Lo;%MS RX PowerSmu = Gm – Lm + Pb + Gb – Ld – Lj – Ltf – Lpu – Lo;Sms = Gm – Lm + Pb + Gb – Ld – Lj – Ltf – Lps – Lo;Smr = Gm – Lm + Pb + Gb – Ld – Lj – Ltf – Lpr – Lo;plot(d,Smu,d,Sms,d,Smr);legend(‘Urban’, ‘Suburban’, ‘Rural’);title(‘Received Power’);xlabel(‘Distance (km)’);ylabel(‘Power (dBm)’);grid on;
a = 20; b = 20; ang=0:0.01:2*pi;
x1=d(1)*cos(ang);
y1=d(1)*sin(ang);
x2=d(2)*cos(ang);
y2=d(2)*sin(ang);
x3=d(3)*cos(ang);
y3=d(3)*sin(ang);
x4=d(4)*cos(ang);
y4=d(4)*sin(ang);
x5=d(5)*cos(ang);
y5=d(5)*sin(ang);
x6=d(6)*cos(ang);
y6=d(6)*sin(ang);
x7=d(7)*cos(ang);
y7=d(7)*sin(ang);
x8=d(8)*cos(ang);
y8=d(8)*sin(ang);
x9=d(9)*cos(ang);
y9=d(9)*sin(ang);
x10=d(10)*cos(ang);
y10=d(10)*sin(ang);
x11=d(11)*cos(ang);
y11=d(11)*sin(ang);
x12=d(12)*cos(ang);
y12=d(12)*sin(ang);
x13=d(13)*cos(ang);
y13=d(13)*sin(ang);
x14=d(14)*cos(ang);
y14=d(14)*sin(ang);
x15=d(15)*cos(ang);
y15=d(15)*sin(ang);
x16=d(16)*cos(ang);
y16=d(16)*sin(ang);
x17=d(17)*cos(ang);
y17=d(17)*sin(ang);
x18=d(18)*cos(ang);
y18=d(18)*sin(ang);
x19=d(19)*cos(ang);
y19=d(19)*sin(ang);
x20=d(20)*cos(ang);
y20=d(20)*sin(ang);
%plot(a+x1,b+y1,a+x2,b+y2,a+x3,b+y3,a+x4,b+y4,a+x5,b+y5,a+x6,b+y6,a+x7,b+y7,a+x8,b+y8,a+x9,b+y9,a+x10,b+y10,a+x11,b+y11,a+x12,b+y12,a+x13,b+y13,a+x14,b+y14,a+x15,b+y15,a+x16,b+y16,a+x17,b+y17,a+x18,b+y18,a+x19,b+y19,a+x20,b+y20);fill(a+x20,b+y20,[0.4 0 0],a+x19,b+y19,[0.6 0 0],a+x18,b+y18,[0.9 0 0],a+x17,b+y17,[1 0.2 0],a+x16,b+y16,[1 0.4 0],a+x15,b+y15,[1 0.7 0],…a+x14,b+y14,[1 0.9 0],a+x13,b+y13,[0.8 1 0],a+x12,b+y12,[0.6 1 0],a+x11,b+y11,[0 1 0.3],a+x10,b+y10,[0 1 0.5],a+x9,b+y9,[0 1 0.7],…a+x8,b+y8,[0 1 0.9],a+x7,b+y7,[0 1 1],a+x6,b+y6,[0 0.7 1],a+x5,b+y5,[0 0.6 1],a+x4,b+y4,[0 0.4 1],a+x3,b+y3,[0 0.3 1],…a+x2,b+y2,[0 0.2 1],a+x1,b+y1,[0 0 1]);colorbar(‘YTickLabel’,{‘0’,Smu(2),Smu(4),Smu(6),Smu(8),Smu(10),Smu(12),Smu(14),Smu(16),Smu(18),Smu(20)});grid on;xlabel(‘X-distance (km)’); %# Add an x axis labelylabel(‘Y-distance (km)’); %# Add a y axis labelsubplot(3,1,1);
fill(a+x20,b+y20,[0.4 0 0],a+x19,b+y19,[0.6 0 0],a+x18,b+y18,[0.9 0 0],a+x17,b+y17,[1 0.2 0],a+x16,b+y16,[1 0.4 0],a+x15,b+y15,[1 0.7 0],…a+x14,b+y14,[1 0.9 0],a+x13,b+y13,[0.8 1 0],a+x12,b+y12,[0.6 1 0],a+x11,b+y11,[0 1 0.3],a+x10,b+y10,[0 1 0.5],a+x9,b+y9,[0 1 0.7],… a+x8,b+y8,[0 1 0.9],a+x7,b+y7,[0 1 1],a+x6,b+y6,[0 0.7 1],a+x5,b+y5,[0 0.6 1],a+x4,b+y4,[0 0.4 1],a+x3,b+y3,[0 0.3 1],…
a+x2,b+y2,[0 0.2 1],a+x1,b+y1,[0 0 1]);
colorbar(‘YTickLabel’,{‘0’,Smu(4),Smu(8),Smu(15),Smu(17),Smu(20)});
grid on;
xlabel(‘X-distance (km)’); %# Add an x axis label
ylabel(‘Y-distance (km)’); %# Add a y axis label
subplot(3,1,2);
fill(a+x20,b+y20,[0.4 0 0],a+x19,b+y19,[0.6 0 0],a+x18,b+y18,[0.9 0 0],a+x17,b+y17,[1 0.2 0],a+x16,b+y16,[1 0.4 0],a+x15,b+y15,[1 0.7 0],…a+x14,b+y14,[1 0.9 0],a+x13,b+y13,[0.8 1 0],a+x12,b+y12,[0.6 1 0],a+x11,b+y11,[0 1 0.3],a+x10,b+y10,[0 1 0.5],a+x9,b+y9,[0 1 0.7],…a+x8,b+y8,[0 1 0.9],a+x7,b+y7,[0 1 1],a+x6,b+y6,[0 0.7 1],a+x5,b+y5,[0 0.6 1],a+x4,b+y4,[0 0.4 1],a+x3,b+y3,[0 0.3 1],…a+x2,b+y2,[0 0.2 1],a+x1,b+y1,[0 0 1]);colorbar(‘YTickLabel’,{‘0’,Sms(4),Sms(8),Sms(15),Sms(17),Sms(20)});grid on;xlabel(‘X-distance (km)’); %# Add an x axis labelylabel(‘Y-distance (km)’); %# Add a y axis labelsubplot(3,1,3);fill(a+x20,b+y20,[0.4 0 0],a+x19,b+y19,[0.6 0 0],a+x18,b+y18,[0.9 0 0],a+x17,b+y17,[1 0.2 0],a+x16,b+y16,[1 0.4 0],a+x15,b+y15,[1 0.7 0],…a+x14,b+y14,[1 0.9 0],a+x13,b+y13,[0.8 1 0],a+x12,b+y12,[0.6 1 0],a+x11,b+y11,[0 1 0.3],a+x10,b+y10,[0 1 0.5],a+x9,b+y9,[0 1 0.7],…a+x8,b+y8,[0 1 0.9],a+x7,b+y7,[0 1 1],a+x6,b+y6,[0 0.7 1],a+x5,b+y5,[0 0.6 1],a+x4,b+y4,[0 0.4 1],a+x3,b+y3,[0 0.3 1],…a+x2,b+y2,[0 0.2 1],a+x1,b+y1,[0 0 1]);colorbar(‘YTickLabel’,{‘0’,Smr(4),Smr(8),Smr(15),Smr(17),Smr(20)});grid on;xlabel(‘X-distance (km)’); %# Add an x axis labelylabel(‘Y-distance (km)’); %# Add a y axis label

3.4 Input

3.5 Output

BAB 4 Pembahasan

4.1 Kuat Sinyal Pada MS (Mobile Station)

4.2 Meningkatkan MS Power

4.2.1 Meminimalkan Hata Path Loss

4.2.2 Meningkatkan Spesifikasi Alat

BAB 5 Penutup

5.1 Simpulan

Daftar Pustaka

Mirror

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