367 lines
14 KiB
Matlab
367 lines
14 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 = [300,330,360,390,420,450,480].*1e9; %[300,330,360,390,420,450,480]
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% uloops.bitrate = 390e9;
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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 = [1293];
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uloops.M = [4,6,8];
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uloops.link_length = [2]; % 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",1);
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end
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wh_ana = wh;
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ber_mlse = {};
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ber_vnle = {};
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inf_rate_vnle ={};
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ber_dbtgt ={};
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ber_dbenc ={};
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alpha = {};
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ber_dfe = {};
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ngmi = [];
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wavelength=1293;
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for m = [4,6,8]
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%1302
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%VNLE
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precomp = 1;
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precode = 0;
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a = wh_ana.getStoValue('ber',precomp, precode, uloops.bitrate , wavelength, m, uloops.link_length);
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ber_vnle = cellfun(@(x) x.vnle_pf_package{1,1}.ber_vnle, a);
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%MLSE
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precomp = 0;
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precode = 1;
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a = wh_ana.getStoValue('ber',precomp, precode, uloops.bitrate , wavelength, m, uloops.link_length);
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ber_mlse = cellfun(@(x) x.vnle_pf_package{1,1}.ber_mlse, a);
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%DB
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precomp = 0;
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precode = 1;
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a = wh_ana.getStoValue('ber',precomp, precode, uloops.bitrate , wavelength, m, uloops.link_length);
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ber_dbtgt = cellfun(@(x) x.dbtgt_package{1,1}.ber, a);
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figure(m+20)
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hold on
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title(sprintf('%d km | %d nm | PAM %d',uloops.link_length,wavelength,m));
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plot(uloops.bitrate,ber_vnle,'DisplayName',sprintf('VNLE'),'Color',cols(3,:),'LineStyle','-','HandleVisibility','on');
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plot(uloops.bitrate,ber_dbtgt,'DisplayName',sprintf('DB tgt. + MLSE',uloops.link_length,uloops.M),'Color',cols(1,:),'LineStyle','-','HandleVisibility','on');
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plot(uloops.bitrate,ber_mlse,'DisplayName',sprintf('VNLE + 1 tap post-filter + MLSE',uloops.link_length,uloops.M),'Color',cols(4,:),'LineStyle','-','HandleVisibility','on');
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set(gca, 'YScale', 'log');
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ylim([5e-5 0.3]);
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% xlim([min(uloops.bitrate.*1e-9), max(uloops.bitrate.*1e-9) ]);
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yline([3.8e-3, 2e-2],'HandleVisibility','off');
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legend
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beautifyBERplot()
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xlabel('Bit Rate in Gbps');
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ylabel('BER');
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end
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cols = linspecer(7);%cbrewer2('Set2',10);
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for w = uloops.laser_wavelength
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figure(w)
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figcnt = 0;
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for precode = uloops.db_precode
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for precomp = uloops.precomp
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for m = uloops.M
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a = wh_ana.getStoValue('ber',precomp, precode, uloops.bitrate , w, m, uloops.link_length);
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ber_dbtgt = cellfun(@(x) x.dbtgt_package{1,1}.ber, a);
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ber_vnle = cellfun(@(x) x.vnle_pf_package{1,1}.ber_vnle, a);
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ber_mlse = cellfun(@(x) x.vnle_pf_package{1,1}.ber_mlse, a);
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figcnt = figcnt+1;
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subplot(4,3,figcnt);
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hold on
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title(sprintf('precomp = %d | precode = %d | %d km | %d nm | PAM %d',precomp,precode,uloops.link_length,w,m));
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plot(uloops.bitrate,ber_dbtgt,'DisplayName',sprintf('DB tgt. + MLSE',uloops.link_length,uloops.M),'Color',cols(1,:),'LineStyle','-','HandleVisibility','on');
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plot(uloops.bitrate,ber_vnle,'DisplayName',sprintf('VNLE'),'Color',cols(3,:),'LineStyle','-','HandleVisibility','on');
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plot(uloops.bitrate,ber_mlse,'DisplayName',sprintf('VNLE + 1 tap post-filter + MLSE',uloops.link_length,uloops.M),'Color',cols(4,:),'LineStyle','-','HandleVisibility','on');
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% plot(uloops.bitrate,cellfun(@min, ber_dfe),'DisplayName',sprintf('VNLE + DFE',uloops.link_length,uloops.M),'Color',cols(2,:),'LineStyle','--');
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% plot(uloops.bitrate,cellfun(@min, ber_dbenc),'DisplayName',sprintf('DB Encoded',uloops.link_length,uloops.M),'Color',cols(5,:),'LineStyle','-');
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set(gca, 'YScale', 'log');
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ylim([5e-5 0.5]);
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% xlim([min(uloops.bitrate.*1e-9), max(uloops.bitrate.*1e-9) ]);
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yline([3.8e-3, 2e-2],'HandleVisibility','off');
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legend
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beautifyBERplot()
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xlabel('Bit Rate in Gbps');
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ylabel('Channel Wavelength (nm)');
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end
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end
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end
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end
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tp = TransmissionPerformance;
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netRatesVNLE = tp.calculateNetRate(uloops.bitrate, 'NGMI', cellfun(@min, inf_rate_vnle)./log2(uloops.M), 'BER', cellfun(@min, ber_vnle));
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pam8= [2.9515 2.9284 2.9203 2.9311 2.8473 2.7740 2.6253];
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pam6 = [2.5280 2.5452 2.5579 2.5549 2.5272 2.4243 2.2617];
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pam4 = [ 1.9982 1.9972 1.9690 1.7909 1.2493 0.8014 0.6385];
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figure(6)
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hold on
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title(sprintf('Performance at 1310 for all lengths'));
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% plot(uloops.bitrate.*1e-9,cellfun(@min, inf_rate_vnle),'DisplayName',sprintf('NGMI VNLE; %d km',uloops.link_length),'Color',cols(3,:),'LineStyle',':');
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plot(uloops.bitrate.*1e-9,pam4/2,'DisplayName',sprintf('GMI VNLE; PAM 4'),'Color',cols(1,:),'LineStyle',':');
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plot(uloops.bitrate.*1e-9,pam6/log2(6),'DisplayName',sprintf('GMI VNLE; PAM 6'),'Color',cols(2,:),'LineStyle',':');
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plot(uloops.bitrate.*1e-9,pam8/3,'DisplayName',sprintf('GMI VNLE; PAM 8'),'Color',cols(3,:),'LineStyle',':');
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xlabel('Gross Bitrate in Gbps');
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ylabel('NGMI')
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beautifyBERplot()
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ylim([0,1]);
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figure()
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title(sprintf('%d km | 1310 nm | PAM %d | VNLE',uloops.link_length,uloops.M));
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hold on
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line([min(uloops.bitrate.*1e-9) max(uloops.bitrate.*1e-9)],[min(uloops.bitrate.*1e-9) max(uloops.bitrate.*1e-9)],'Color',[.7,.7,.7],'Marker','none','Handlevisibility','off');
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plot(uloops.bitrate.*1e-9,cellfun(@min, inf_rate_vnle).*uloops.bitrate./log2(uloops.M).*1e-9,'DisplayName',sprintf('AIR'),'Color',cols(1,:),'LineStyle',':');
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plot(uloops.bitrate.*1e-9,netRatesVNLE.SDHD.NetRate.*1e-9,'DisplayName',sprintf('SD+HD'),'Color',cols(2,:),'LineStyle',':');
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plot(uloops.bitrate.*1e-9,netRatesVNLE.HD.NetRate.*1e-9,'DisplayName',sprintf('HD'),'Color',cols(3,:),'LineStyle',':');
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plot(uloops.bitrate.*1e-9,netRatesVNLE.KP4_hamming.NetRate.*1e-9,'DisplayName',sprintf('KP4+Hamming'),'Color',cols(4,:),'LineStyle',':');
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beautifyBERplot()
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xlim([min(uloops.bitrate.*1e-9) max(uloops.bitrate.*1e-9)])
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xlabel('Gross Bitrate in Gbps');
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ylabel('Net Bitrate in Gbps');
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legend
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% plot(uloops.bitrate.*1e-9,ber_vnle,'DisplayName',sprintf('NGMI MLSE; %d km',len),'Color',cols(1,:),'LineStyle','-');
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% plot(uloops.bitrate.*1e-9,ber_dfe,'DisplayName',sprintf('NGMI MLSE; %d km',len),'Color',cols(1,:),'LineStyle','-');
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% plot(uloops.bitrate.*1e-9,ber_mlse,'DisplayName',sprintf('NGMI MLSE; %d km',len),'Color',cols(1,:),'LineStyle','-');
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% plot(uloops.bitrate.*1e-9,ber_db,'DisplayName',sprintf('NGMI VNLE; %d km',len),'Color',cols(2,:),'LineStyle','-');
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%
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% set(gca, 'YScale', 'log');
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% ylim([1e-5, 0.1]);
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% yline([3.8e-3;1e-2],'LineWidth',1,'HandleVisibility','off');
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% for alpha = uloops.alpha
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% for precode = uloops.db_precode
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% for precomp = uloops.precomp
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%
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%
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% cols = linspecer(6);%cbrewer2('Set2',10);
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% cnt = 1;
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% a = wh.getStoValue('ber',alpha,uloops.vnle_order2,uloops.vnle_order3,precomp, precode, uloops.bitrate,uloops.M);
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%
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%
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% for i = 1:numel(a)
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% ber_db(i) = mean((a{i}.ber_db));
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% ber_vnle(i) = mean((a{i}.ber_vnle));
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% ber_vnle_dfe(i) = mean((a{i}.ber_vnle_dfe));
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% ber_mlse(i) = mean((a{i}.ber_mlse));
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% pf_taps(i) = a{i}.pf_taps{1}(2);
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% vnle_taps(i,:) = a{i}.eq_vnle{1}.e;
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%
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% figure(222)
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%
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%
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% subplot(7,3,3*(i-1)+1)
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% ylim([-0.5 1]);
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% title(sprintf('%d GBps',uloops.bitrate(i).*1e-9));
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% hold on
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% stem(a{i}.eq_vnle{1}.e)
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%
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% subplot(7,3,3*(i-1)+2)
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% ylim([-0.5 1]);
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% title(sprintf('%d GBps',uloops.bitrate(i).*1e-9));
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% hold on
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% stem(a{i}.eq_vnle{1}.e2)
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%
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% subplot(7,3,3*(i-1)+3)
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% ylim([-0.5 1]);
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% title(sprintf('%d GBps',uloops.bitrate(i).*1e-9));
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% hold on
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% stem(a{i}.eq_vnle{1}.e3)
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%
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% showEQNoisePSD(a{i}.noise_vnle{1},"fignum",220,"displayname",sprintf('%d 2nd order taps; %d GBps',vnle_order2,uloops.bitrate(i).*1e-9),"postfilter_taps",a{i}.pf_taps{1});
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%
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% eq_sig = a{i}.signal_vnle{1};
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%
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%
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% end
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%
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% figure()
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% hold on
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%
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% if precomp
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% lsty = '-';
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% else
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% lsty = '-';
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% end
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%
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% if precode
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% coloffset = 1;
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% else
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% coloffset=1;
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% end
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%
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% % plot(uloops.bitrate,ber_mlse,'DisplayName',sprintf('Precomp: %d; Precode %d',precomp,precode),'Color',cols(cnt,:));
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% title(sprintf('Precomp: %d; Precode %d',precomp,precode));
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% plot(uloops.bitrate.*1e-9,ber_vnle,'DisplayName','VNLE','Color',cols(4,:),'LineStyle',lsty);
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% plot(uloops.bitrate.*1e-9,ber_vnle_dfe,'DisplayName','VNLE+DFE','Color',cols(2,:),'LineStyle',lsty);
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% plot(uloops.bitrate.*1e-9,ber_mlse,'DisplayName','VNLE+PF+MLSE','Color',cols(3,:),'LineStyle',lsty);
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% plot(uloops.bitrate.*1e-9,ber_db,'DisplayName','DB tgt.','Color',cols(1,:),'LineStyle',lsty);
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%
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% cnt = cnt+1;
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% yline([3.8e-3;1e-2],'LineWidth',1,'HandleVisibility','off');
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% beautifyBERplot()
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% end
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% end
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% end
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%
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%
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%
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% for vnle_order3 = uloops.vnle_order3([1,3,5,7,9,10])
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% cnt = 0;
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% for vnle_order2 = 3%= uloops.vnle_order2
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% for precode = uloops.db_precode
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% for precomp = uloops.precomp
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%
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%
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% cols = linspecer(10);%cbrewer2('Set2',10);
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% cnt = cnt+1;
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% a = wh.getStoValue('ber',vnle_order2,vnle_order3,precomp, precode, uloops.bitrate,uloops.M);
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%
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%
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% ber_db(cnt) = mean((a{1}.ber_db));
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% ber_vnle(cnt) = mean((a{1}.ber_vnle));
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% ber_vnle_dfe(cnt) = mean((a{1}.ber_vnle_dfe));
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% ber_mlse(cnt) = mean((a{1}.ber_mlse));
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% pf_taps(cnt) = a{1}.pf_taps{1}(2);
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%
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% showEQNoisePSD(a{1}.noise_vnle{1},"fignum",220,"displayname",sprintf('%d 3rd order taps; %d GBps',vnle_order3,uloops.bitrate(i).*1e-9));
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%
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% eq_sig = a{1}.signal_vnle{1};
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%
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%
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% end
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% end
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% end
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%
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% figure(180)
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% hold on
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% scatter(uloops.vnle_order2,ber_mlse,'MarkerEdgeColor',cols(vnle_order3,:),'LineWidth',1,'DisplayName',sprintf('%d 3rd order taps',vnle_order3));
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% ylim([1e-3 0.5]);
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%
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% end
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% title(sprintf('%d GBps',uloops.bitrate(i).*1e-9));
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% ylabel('BER');
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% xlabel('VNLE 2nd order taps');
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% yline([3.8e-3;1e-2],'LineWidth',1,'HandleVisibility','off');
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% beautifyBERplot()
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% r = 1;
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% for rate = uloops.bitrate
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%
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% i = 1;
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% for alpha = uloops.alpha
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% cols = linspecer(7);%cbrewer2('Set2',10);
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% cnt = 1;
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% a = wh.getStoValue('ber',alpha,uloops.vnle_order2,uloops.vnle_order3,precomp, precode, rate,uloops.M);
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% ber_mlse(i) = mean((a{1}.ber_mlse));
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% pf_taps(i) = a{1}.pf_taps{1}(2);
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% i = i+1;
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% end
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%
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% figure(150)
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% hold on
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% scatter(pf_taps(1),ber_mlse(1),200,'DisplayName','Burg','MarkerEdgeColor',cols(r,:),'Marker','x','LineWidth',2,'HandleVisibility','off');
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% plot(uloops.alpha(2:end),ber_mlse(2:end),'DisplayName',sprintf('%d GBps',rate.*1e-9),'Color',cols(r,:),'LineStyle','-');
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% r=r+1;
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%
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% end
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%
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%
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% % title(sprintf('%d GBps',uloops.bitrate.*1e-9));
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% ylabel('BER');
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% xlabel('Alpha');
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% yline([3.8e-3;1e-2],'LineWidth',1,'HandleVisibility','off');
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% beautifyBERplot()
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%
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%
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%
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% figure(2024)
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% hold on
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% for j = 1:numel(uloops.vnle_order3)
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% all2nd = wh.getStoValue('ber',uloops.vnle_order3(j), uloops.vnle_order2, uloops.bitrate,uloops.M);
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% for i = 1:numel(a)
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% ber_mlse(i) = all2nd{i}.ber_mlse;
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% ber_vnle(i) = all2nd{i}.ber_vnle;
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% pf_taps(:,i) = all2nd{i}.pf_taps;
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%
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% end
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% plot(uloops.vnle_order2,ber_mlse,'DisplayName',sprintf('%d 3rd order',uloops.vnle_order3(j)));
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% end
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%
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% yline(3.8e-3,'LineWidth',2,'DisplayName','3.8e-3');
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% yline(2e-2,'LineWidth',2,'LineStyle','--','DisplayName','2e-2');
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% beautifyBERplot()
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% legend
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%
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% figure(2025)
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% clf; % Clear figure so we start fresh
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%
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% numJ = numel(uloops.vnle_order3);
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% numI = numel(uloops.vnle_order2);
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% ber_mlse_mat = zeros(numJ, numI);
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%
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% % Gather data into a 2D matrix
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% for j = 1:numJ
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% all2nd = wh.getStoValue('ber', uloops.vnle_order3(j), uloops.vnle_order2, uloops.bitrate, uloops.M);
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% for i = 1:numI
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% ber_mlse_mat(j,i) = all2nd{i}.ber_mlse;
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% end
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% end
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%
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% % Create a 2D plot
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% % 'imagesc' displays the matrix as an image with a colorbar.
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% imagesc(uloops.vnle_order2, uloops.vnle_order3, ber_mlse_mat);
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% set(gca,'YDir','normal'); % Ensure that lower vnle_order3 is at the bottom
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% colorbar; % Add a colorbar to show BER scale
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%
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% xlabel('VNLE Order 2');
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% ylabel('VNLE Order 3');
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% title('BER MLSE as a function of VNLE Orders');
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%
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% % If you want to highlight certain BER levels, you can add contour lines:
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% hold on;
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% [C,h] = contour(uloops.vnle_order2, uloops.vnle_order3, ber_mlse_mat, [3.8e-3, 2e-2], 'LineWidth',2,'LineColor','k');
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% clabel(C,h,'Color','k','FontWeight','bold');
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%
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% beautifyBERplot();
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% legend('BER contour lines'); |