wdm update pt 3
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@@ -3,58 +3,39 @@
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% --- FIRST LINE: evaluate settings located beside this script ---
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run(fullfile(fileparts(mfilename('fullpath')),'WDM_settings.m'));
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% optional: size local parpool from Slurm allocation (minimal, no arrays)
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cpus = str2double(getenv('SLURM_CPUS_PER_TASK'));
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if ~isfinite(cpus) || cpus < 1, cpus = max(1, feature('numcores')); end
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p = gcp('nocreate'); if isempty(p), parpool('local', cpus); end
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M = 4;
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m = floor(log2(M)*10)/10;
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fsym = 224e9;
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apply_pulsef = 1;
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fdac = 2*fsym;
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fadc = 2*fsym;
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link_length = 0;
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wavelengthplan = calcWavelengthPlan(16,400e9,1310);
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wavelengthplan = [1295,1305,1315,1325];
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random_key = 2;
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rcalpha = 0.05;
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kover = 8;
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% Laser / Modulator
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vbias_rel = 0.5;
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u_pi = 3.2;
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vbias = -vbias_rel*u_pi;
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laser_linewidth = 0e6;
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% Channel
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link_length = 2;
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rop = -5;
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% EQ SETTINGS
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vnle_order1 = 50;
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vnle_order2 = 0;
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vnle_order3 = 0;
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vnle_order=[vnle_order1,vnle_order2,vnle_order3];
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dfe_order = [0 0 0];
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alpha = 0;
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len_tr = 4096*2;
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mu_ffe1 = 0.0001;
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mu_ffe2 = 0.0008;
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mu_ffe3 = 0.001;
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mu_dc = 0.005;
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% mu_dc = 0;
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mu_ffe = [mu_ffe1 mu_ffe3 mu_ffe3];
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mu_dfe = 0.0004;
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dfe_ = sum(dfe_order)>0;
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doub_mode = db_mode.no_db;
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cols = linspecer(6);
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rcalpha = 0.05;
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Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rc","pulselength",16,"alpha",rcalpha);
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db_precode = 0;
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@@ -63,20 +44,12 @@ duob_mode = db_mode.no_db;
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apply_pulsef = 0;
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% AWG("fdac",fdac,"f_cutoff",fsym,"lpf_active",0,"kover",kover,"bit_resolution",12,"upsampling_method","samplehold","precomp_sinc_rolloff",0).process(Digi_sig);
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%%%%% Low-pass el. components %%%%%%
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% tx_bwl = 100e9;
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% El_sig = Filter('filtdegree',3,"f_cutoff",tx_bwl,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true).process(El_sig);
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wavelengthplan = calcWavelengthPlan(16,400e9,1310);
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wavelengthplan = [1295,1305,1315,1325];
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N = numel(wavelengthplan);
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f_plan = physconst('lightspeed')./(wavelengthplan.*1e-9);
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margin = 25e12; % some THz left and right
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f_span = (max(f_plan)+margin)-(min(f_plan)-margin);
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f_nyq = f_span/2;
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kover = 8;
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upsample_required = f_nyq./(fdac*kover/2);
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upsample_pow = 2^nextpow2(upsample_required);
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upsample_ceil = ceil(upsample_required);
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@@ -88,9 +61,9 @@ signal_cell = {};
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Symbols = {};
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Tx_bits = {};
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rop = linspace(-11,0,6); %12 workers when parallel
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rop = linspace(-11,0,8);
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num_realiz = 10;
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num_realiz = 1;
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gmi_vnle_bitwise = NaN(length(wavelengthplan),length(rop),num_realiz);
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snr_vnle= NaN(length(wavelengthplan),length(rop),num_realiz);
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ber_vnle= NaN(length(wavelengthplan),length(rop),num_realiz);
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@@ -224,6 +197,21 @@ for realiz = 1:num_realiz
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end
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figure();hold on;
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cols = linspecer(N);
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for l = 1:N
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% plot(rop,mean(squeeze(ber_vnle(l,:,:)),2,'omitnan'),'Marker','*','DisplayName',sprintf('Ch: %d',wavelengthplan(l)))
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plot(rop,squeeze(ber_vnle(l,:,:)),'Marker','*','DisplayName',sprintf('Ch: %d',wavelengthplan(l)),'Color',cols(l,:),'HandleVisibility','on')
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end
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yline([3.8e-3,2.2e-4],'HandleVisibility','off');
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ylabel('BER');
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xlabel('ROP')
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title('BER vs. ROP');
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set(gca, 'XScale', 'linear', ...
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'YScale', 'log', ...
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'TickLabelInterpreter', 'latex', ...
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'FontSize', 11);
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res = struct(); % placeholder
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res.gmi_vnle_bitwise = gmi_vnle_bitwise; % placeholder
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@@ -256,25 +244,10 @@ fname = sprintf('WDM_%s_%s_%s.mat', char(t), host, jobid);
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save(fullfile(output_root, fname), 'res', '-v7.3');
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fprintf('Saved results to: %s\n', fullfile(output_root, fname));
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figure();hold on;
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cols = linspecer(N);
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for l = 1:N
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% plot(rop,mean(squeeze(ber_vnle(l,:,:)),2,'omitnan'),'Marker','*','DisplayName',sprintf('Ch: %d',wavelengthplan(l)))
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plot(rop,squeeze(ber_vnle(l,:,:)),'Marker','*','DisplayName',sprintf('Ch: %d',wavelengthplan(l)),'Color',cols(l,:),'HandleVisibility','on')
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end
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yline([3.8e-3,2.2e-4],'HandleVisibility','off');
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ylabel('BER');
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xlabel('ROP')
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title('BER vs. ROP');
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set(gca, 'XScale', 'linear', ...
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'YScale', 'log', ...
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'TickLabelInterpreter', 'latex', ...
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'FontSize', 11);
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% --- save as PNG ---
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outname = fullfile(output_root, 'BER_vs_ROP.png'); % saves to current folder
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print(gcf, outname, '-dpng', '-r300'); % 300 dpi
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fprintf('Saved figure to %s\n', outname);
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function dispersion_vector = getDispersionVector(N, D, ref_zdw, randomize_ZDW, randomkey)
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