93 lines
2.8 KiB
Matlab
93 lines
2.8 KiB
Matlab
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% basePath = 'C:\Users\Silas\Documents\MATLAB\Datensätze\sioe_labor\';
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% db = DBHandler("pathToDB",[basePath,'silas_labor.db']);
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if 1
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uloops = struct;
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uloops.precomp = [0,1];
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uloops.db_precode = [0,1];
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uloops.bitrate = [224,336,360,390,420,448].*1e9; %[300,330,360,390,420,450,480] [224,336,360,390,420,448] for MPI
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% uloops.laser_wavelength = [1293,1297.5,1302,1306.5,1310,1313.4,1318,1322.7,1327.4];
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uloops.laser_wavelength = [1310];
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uloops.M = [4,6,8];
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uloops.link_length = [1]; % 1,2,3,5,6,8,10
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wh = DataStorage(uloops);
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wh.addStorage("ber");
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% wh = submit_simulations(wh,"parallel",0,"simulation_mode",0);
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wh = submit_handle(@dsp_mpi,wh,"parallel",1);
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end
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a = wh_mpi_112gbd.getStoValue('ber',uloops.precomp, uloops.db_precode, uloops.bitrate(1) , uloops.laser_wavelength, uloops.M, uloops.link_length);
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%VNLE standalone
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try
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ber_vnle = cellfun(@(x) x.vnle_dfe_package{1,1}.ber_vnle, a);
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end
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%MLSE
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try
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ber_values_mlse = cellfun(@(s) cellfun(@(pkg) pkg.ber_mlse, s.vnle_pf_package, 'UniformOutput', false), a, 'UniformOutput', false);
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ber_values_mlse = cell2mat(ber_values_mlse{1});
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end
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%DB
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try
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ber_values_db = cellfun(@(s) cellfun(@(pkg) pkg.ber, s.dbtgt_package, 'UniformOutput', false), a, 'UniformOutput', false);
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ber_values_db = cell2mat(ber_values_db{1});
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end
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xax = [0
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3
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6
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9
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12
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15
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18
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21
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24
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27
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30
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45];
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cols = cbrewer2('Set1',8);
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% Compute min, max, and mean for PAM 4 MLSE
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min_mlse = min(ber_values_mlse, [], 2);
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max_mlse = max(ber_values_mlse, [], 2);
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mean_mlse = mean(ber_values_mlse, 2);
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err_lower_mlse = mean_mlse - min_mlse;
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err_upper_mlse = max_mlse - mean_mlse;
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err_mlse = [err_lower_mlse, err_upper_mlse];
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% Compute min, max, and mean for PAM 4 DB tgt.
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min_db = min(ber_values_db, [], 2);
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max_db = max(ber_values_db, [], 2);
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mean_db = mean(ber_values_db, 2);
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err_lower_db = mean_db - min_db;
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err_upper_db = max_db - mean_db;
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err_db = [err_lower_db, err_upper_db];
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figure(1)
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hold on
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title('MPI');
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% Plot the MLSE curve with bounded error using boundedline
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[hl_mlse, hp_mlse] = boundedline(xax, mean_mlse, err_mlse,'Color', cols(1,:));
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plot(xax,ber_values_mlse,'DisplayName','PAM 4 MLSE','Color',cols(1,:),'LineStyle','-','HandleVisibility','on','Marker','none','LineWidth',0.2);
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% Plot the DB tgt. curve with bounded error using boundedline
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[hl_db, hp_db] = boundedline(xax, mean_db, err_db, 'Color', cols(2,:));
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plot(xax,ber_values_db,'DisplayName','PAM 4 MLSE','Color',cols(2,:),'LineStyle','-','HandleVisibility','on','Marker','none','LineWidth',0.2);
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% Format the plot
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xticks(xax);
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set(gca, 'YScale', 'log');
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ylim([5e-5 0.4]);
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xlim([min(xax) max(xax)]);
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yline([4.85e-3, 2e-2], 'HandleVisibility', 'off');
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legend
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% beautifyBERplot()
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xlabel('Interference Attenuation');
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ylabel('BER');
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