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changes in WDM pt5

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This commit is contained in:
Silas Oettinghaus
2025-09-17 16:19:53 +02:00
parent 20b6d9c75a
commit cbc0ceff0a
2 changed files with 103 additions and 75 deletions
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151
projects/WDM/WDM_model.m
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@@ -3,21 +3,26 @@
% --- FIRST LINE: evaluate settings located beside this script --- % --- FIRST LINE: evaluate settings located beside this script ---
run(fullfile(fileparts(mfilename('fullpath')),'WDM_settings.m')); run(fullfile(fileparts(mfilename('fullpath')),'WDM_settings.m'));
num_realiz = 1;
% wavelengthplan = calcWavelengthPlan(16,400e9,1310);
wavelengthplan = [1295,1305,1315,1325];
link_length = 2;
pmd = 0.1;
gamma = 0.0023;
M = 4; M = 4;
m = floor(log2(M)*10)/10; m = floor(log2(M)*10)/10;
fsym = 224e9; fsym = 224e9;
fdac = 2*fsym; fdac = 2*fsym;
fadc = 2*fsym; fadc = 2*fsym;
link_length = 0;
wavelengthplan = calcWavelengthPlan(16,400e9,1310);
wavelengthplan = [1295,1305,1315,1325];
random_key = 2; random_key = 2;
% Laser / Modulator % Laser / Modulator
vbias_rel = 0.5; vbias_rel = 0.5;
u_pi = 3.2; u_pi = 3.2;
vbias = -vbias_rel*u_pi; vbias = -vbias_rel*u_pi;
laser_linewidth = 0e6; laser_linewidth = 0e6;
% EQ SETTINGS % EQ SETTINGS
vnle_order1 = 50; vnle_order1 = 50;
@@ -43,7 +48,6 @@ apply_pulsef = 0;
rcalpha = 0.05; rcalpha = 0.05;
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rc","pulselength",16,"alpha",rcalpha); Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rc","pulselength",16,"alpha",rcalpha);
N = numel(wavelengthplan); N = numel(wavelengthplan);
f_plan = physconst('lightspeed')./(wavelengthplan.*1e-9); f_plan = physconst('lightspeed')./(wavelengthplan.*1e-9);
margin = 25e12; % some THz left and right margin = 25e12; % some THz left and right
@@ -63,14 +67,14 @@ Tx_bits = {};
rop = linspace(-11,0,8); rop = linspace(-11,0,8);
num_realiz = 1; output_ffe = cell(length(wavelengthplan),length(rop),num_realiz);
gmi_vnle_bitwise = NaN(length(wavelengthplan),length(rop),num_realiz); output_vnle = cell(length(wavelengthplan),length(rop),num_realiz);
snr_vnle= NaN(length(wavelengthplan),length(rop),num_realiz); output_mlse = cell(length(wavelengthplan),length(rop),num_realiz);
ber_vnle= NaN(length(wavelengthplan),length(rop),num_realiz); output_dbt = cell(length(wavelengthplan),length(rop),num_realiz);
output = cell(length(wavelengthplan),length(rop),num_realiz);
for realiz = 1:num_realiz for realiz = 1:num_realiz
for l = 1:N for l = 1:N
[Digi_sig,Symbols{l},Tx_bits{l}] = PAMsource(... [Digi_sig,Symbols{l},Tx_bits{l}] = PAMsource(...
@@ -118,9 +122,9 @@ for realiz = 1:num_realiz
Dvec = getDispersionVector(nSegments, D_local, zdw, randomize_D, random_key+realiz); Dvec = getDispersionVector(nSegments, D_local, zdw, randomize_D, random_key+realiz);
for s = 1:nSegments for s = 1:nSegments
Opt_sig_wdm_fib = DP_Fiber("L",link_length/nSegments,"D",Dvec(s),"Dpmd",0.1,"Ds",0.06,... Opt_sig_wdm_fib = DP_Fiber("L",link_length/nSegments,"D",Dvec(s),"Dpmd",pmd,"Ds",0.07,...
"beat_len",10,"corr_len",100,"dz",1,"manakov",0,... "beat_len",10,"corr_len",100,"dz",1,"manakov",0,...
"gamma",0.0023,"lambda",zdw,"n_waveplates",10,"SS_dphimax",0.01,... "gamma",gamma,"lambda",zdw,"n_waveplates",10,"SS_dphimax",0.01,...
"SS_dzmax",50,"SS_dzmin",10,"X_alpha",0.3,"X_beta",0,"rng",1).process(Opt_sig_wdm_fib); "SS_dzmax",50,"SS_dzmin",10,"X_alpha",0.3,"X_beta",0,"rng",1).process(Opt_sig_wdm_fib);
end end
@@ -169,56 +173,85 @@ for realiz = 1:num_realiz
% FFE
ffe_order = [50, 0, 0]; ffe_order = [50, 0, 0];
eq_ffe = EQ("Ne",ffe_order,"Nb",[0,0,0],"training_length",len_tr,"training_loops",5,"dd_loops",5,"K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",0); eq_ffe = EQ("Ne",ffe_order,"Nb",[0,0,0],"training_length",len_tr,"training_loops",5,"dd_loops",5,"K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",0);
ffe_results = ffe(eq_ffe,M,Rx_sig,Symbols{l},Tx_bits{l},... ffe_results = ffe(eq_ffe,M,Rx_sig,Symbols{l},Tx_bits{l},...
"precode_mode",duob_mode,... "precode_mode",duob_mode,...
'showAnalysis',0,... 'showAnalysis',0,...
"postFFE",[],... "postFFE",[],...
"eth_style_symbol_mapping",0); "eth_style_symbol_mapping",0);
output{l,ri,realiz} = ffe_results; output_ffe{l,ri,realiz} = ffe_results;
% % FFE or VNLE %VNLE
% eq_ = EQ("Ne",[vnle_order1,vnle_order2,vnle_order3],"Nb",[0,0,0],"training_length",len_tr,"training_loops",5,"dd_loops",5,"K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.00,"FFEmu",0,"plotfinal",0,"ideal_dfe",0); pf_ncoeffs = 1;
% ffe_order = [50, 5, 5];
% [eq_signal_sd, eq_noise] = eq_.process(Rx_sig, Symbols{l}); eq_ = EQ("Ne",ffe_order,"Nb",dfe_order,"training_length",len_tr,"training_loops",5,"dd_loops",5,"K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
% showEQNoisePSD(eq_noise, "fignum",1273876,"displayname",'noise after EQ'); pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
% [mi_gomez] = calc_air(eq_signal_sd, Symbols{l}, "skip_front", 100, "skip_end", 100);
% [gmi_vnle_bitwise(l,ri,realiz)] = calc_ngmi(eq_signal_sd,Symbols{l}); useviterbi = 0;
% % [gmi_bitwise_2] = calc_gmi_bitwise(eq_signal_sd,Symbols{l}); if useviterbi
% snr_vnle(l,ri,realiz) = calc_snr(Symbols{l}, eq_signal_sd-Symbols{l}); mlse_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
% else
% % eq_signal_sd.plot("displayname",'bla','fignum',199); mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
% % eq_signal_sd.eye(fsym,M,"fignum",103837); end
%
% eq_signal_hd = PAMmapper(M, 0).quantize(eq_signal_sd); [vnle_results, mlse_results] = vnle_postfilter_mlse(eq_, pf_, mlse_, M, Rx_sig, Symbols{l},Tx_bits{l}, ...
% rx_bits = PAMmapper(M,0,"eth_style",0).demap(eq_signal_hd); "precode_mode", duob_mode,...
% [~,tot_err,ber_vnle(l,ri,realiz),a] = calc_ber(rx_bits.signal,Tx_bits{l}.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1); 'showAnalysis', 0, ...
% burst_vnle = count_error_bursts(a, 10)./tot_err; "postFFE", [],...
% "eth_style_symbol_mapping", 0);
% % showLevelConfusionMatrix(eq_signal_hd,Symbols{l},"M",M,"fignum",200,"displayname",'bla');
% % showLevelScatter(eq_signal_sd,Symbols{l},"displayname",'VNLE Out','f_sym',fsym,'fignum',201); output_vnle{l,ri,realiz} = vnle_results;
% % show2Dconstellation(eq_signal_sd,Symbols{l},"displayname",'VNLE Out','fignum',2241); output_mlse{l,ri,realiz} = mlse_results;
%
% fprintf('CH %d :BER VNLE: %.2e \n',l,ber_vnle(l,ri,realiz));
% fprintf('CH %d :NGMI VNLE: %.2f \n',l,gmi_vnle_bitwise(l,ri,realiz)./m);
% DB tgt.
useviterbi = 0;
if useviterbi
mlse_db_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
else
mlse_db_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels);
end
ffe_order = [50, 5, 5];
eq_ = EQ("Ne",ffe_order,"Nb",dfe_order,"training_length",len_tr,"training_loops",5,"dd_loops",5,"K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
dbt_results = duobinary_target(eq_, mlse_db_, M, Rx_sig, Symbols{l},Tx_bits{l}, ...
"precode_mode", duob_mode, ...
'showAnalysis', 0,...
"postFFE", []);
output_dbt{l,ri,realiz} = dbt_results;
end end
end end
res = struct();
res.ffe = output_ffe;
res.vnle = output_vnle;
res.mlse = output_mlse;
res.dbt = output_dbt;
% Save results
save(fullfile(output_root, fname), 'res', '-v7.3');
fprintf('Saved results to: %s\n', fullfile(output_root, fname));
end end
figure();hold on; figure();hold on;
cols = linspecer(N); cols = linspecer(N);
for l = 1:N for l = 1:N
% plot(rop,mean(squeeze(ber_vnle(l,:,:)),2,'omitnan'),'Marker','*','DisplayName',sprintf('Ch: %d',wavelengthplan(l))) % plot(rop,mean(squeeze(ber_vnle(l,:,:)),2,'omitnan'),'Marker','*','DisplayName',sprintf('Ch: %d',wavelengthplan(l)))
plot(rop,squeeze(ber_vnle(l,:,:)),'Marker','*','DisplayName',sprintf('Ch: %d',wavelengthplan(l)),'Color',cols(l,:),'HandleVisibility','on') % plot(rop,cellfun(@(c) c.metrics.BER, output_ffe(l,:), 'UniformOutput', true),'Marker','*','DisplayName',sprintf('Ch: %d',wavelengthplan(l)),'Color',cols(l,:),'HandleVisibility','on','LineStyle',':');
plot(rop,cellfun(@(c) c.metrics.BER, output_vnle(l,:), 'UniformOutput', true),'Marker','x','DisplayName',sprintf('Ch: %d',wavelengthplan(l)),'Color',cols(l,:),'HandleVisibility','on','LineStyle','--')
plot(rop,cellfun(@(c) c.metrics.BER, output_mlse(l,:), 'UniformOutput', true),'Marker','o','DisplayName',sprintf('Ch: %d',wavelengthplan(l)),'Color',cols(l,:),'HandleVisibility','on','LineStyle','-')
end end
yline([3.8e-3,2.2e-4],'HandleVisibility','off'); yline([3.8e-3,2.2e-4],'HandleVisibility','off');
ylabel('BER'); ylabel('BER');
@@ -228,38 +261,8 @@ set(gca, 'XScale', 'linear', ...
'YScale', 'log', ... 'YScale', 'log', ...
'TickLabelInterpreter', 'latex', ... 'TickLabelInterpreter', 'latex', ...
'FontSize', 11); 'FontSize', 11);
xlim([min(rop) max(rop)])
ylim([1e-5 0.3])
res = struct(); % placeholder
res.gmi_vnle_bitwise = gmi_vnle_bitwise; % placeholder
res.snr_vnle = snr_vnle;
res.ber_vnle = ber_vnle;
% ---------------------------------------------
% result filename (timestamp + optional job id)
t = datetime('now','TimeZone','local','Format','yyyyMMdd_HHmmss');
jobid = getenv('SLURM_JOB_ID'); if isempty(jobid), jobid = 'nojid'; end
host = getenv('HOSTNAME'); if isempty(host), host = 'localhost'; end
% Output directory depends on platform
if ispc
output_root = fullfile('C:\Users\Silas\Documents\MATLAB\Datensätze\FWM_2025\');
else
output_root = '/work_beegfs/sutef391/results_WDM';
end
if ~exist(output_root,'dir'), mkdir(output_root); end
% Build filename
t = datetime('now','TimeZone','local','Format','yyyyMMdd_HHmmss');
jobid = getenv('SLURM_JOB_ID'); if isempty(jobid), jobid = 'nojid'; end
host = getenv('HOSTNAME'); if isempty(host), host = 'localhost'; end
fname = sprintf('WDM_%s_%s_%s.mat', char(t), host, jobid);
% Save results
save(fullfile(output_root, fname), 'res', '-v7.3');
fprintf('Saved results to: %s\n', fullfile(output_root, fname));
% --- save as PNG --- % --- save as PNG ---
outname = fullfile(output_root, 'BER_vs_ROP.png'); % saves to current folder outname = fullfile(output_root, 'BER_vs_ROP.png'); % saves to current folder
@@ -279,7 +282,7 @@ function dispersion_vector = getDispersionVector(N, D, ref_zdw, randomize_ZDW, r
% constants (matching the Python code) % constants (matching the Python code)
meanLambda_nm = 1310; % center wavelength meanLambda_nm = 1310; % center wavelength
sigma_nm = 2; % ZDW sigma sigma_nm = 2; % ZDW sigma
Dslope = 0.09; % ps/(nm·km) per nm detuning Dslope = 0.07; % ps/(nm·km) per nm detuning
% random ZDW-induced dispersion offset % random ZDW-induced dispersion offset
if randomize_ZDW if randomize_ZDW

27
projects/WDM/WDM_settings.m
View File

@@ -52,4 +52,29 @@ if isempty(p) || p.NumWorkers ~= cpus
if ~isempty(p), delete(p); end if ~isempty(p), delete(p); end
p = parpool(c, cpus); % avoids the “queued” state p = parpool(c, cpus); % avoids the “queued” state
end end
fprintf('parpool up with %d workers; JobStorage=%s\n', p.NumWorkers, c.JobStorageLocation); fprintf('parpool up with %d workers; JobStorage=%s\n', p.NumWorkers, c.JobStorageLocation);
% result filename (timestamp + optional job id)
t = datetime('now','TimeZone','local','Format','yyyyMMdd_HHmmss');
jobid = getenv('SLURM_JOB_ID'); if isempty(jobid), jobid = 'nojid'; end
host = getenv('HOSTNAME'); if isempty(host), host = 'localhost'; end
% Output directory depends on platform
if ispc
output_root = fullfile('C:\Users\Silas\Documents\MATLAB\Datensätze\FWM_2025\');
else
output_root = '/work_beegfs/sutef391/results_WDM';
end
if ~exist(output_root,'dir'), mkdir(output_root); end
% Build filename
t = datetime('now','TimeZone','local','Format','yyyyMMdd_HHmmss');
jobid = getenv('SLURM_JOB_ID'); if isempty(jobid), jobid = 'nojid'; end
host = getenv('HOSTNAME'); if isempty(host), host = 'localhost'; end
fname = sprintf('WDM_%s_%s_%s.mat', char(t), host, jobid);