154 lines
4.0 KiB
Matlab
154 lines
4.0 KiB
Matlab
%% ============================================================
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% LOAD DATA (PAM-4, sweep over ROP)
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% ============================================================
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database_type = 'mysql';
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db = DBHandler("dataBase", "labor_highspeed", "type", database_type);
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pam_level = 4;
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fiberL = 1; % 1 km
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wlen = 1310;
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baudrate = 360e9;
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fp = QueryFilter();
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fp.where('Runs','pam_level','EQUALS', pam_level);
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fp.where('Runs','fiber_length','EQUALS', fiberL);
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fp.where('Runs','wavelength','EQUALS', wlen);
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fp.where('Runs','bitrate','EQUALS', baudrate);
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fp.where('Runs','power_pd_in','LESS_THAN', 7);
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fields = [
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db.getTableFieldNames('power_state_info');
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db.getTableFieldNames('dashboard_ungrouped_alltime')
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];
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[dataTable,~] = db.queryDB(fp, fields);
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%% ============================================================
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% DSP SCHEMES (Best combinations only)
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% ============================================================
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curves = struct;
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curves(1).name = 'VNLE';
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curves(1).eq = equalizer_structure.vnle;
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curves(1).color = clr.Paired.red;
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curves(2).name = 'PF + MLSE';
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curves(2).eq = equalizer_structure.vnle_pf_mlse;
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curves(2).color = clr.Paired.green;
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curves(3).name = 'DB-target + MLSE';
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curves(3).eq = equalizer_structure.vnle_db_mlse;
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curves(3).color = clr.Paired.blue;
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curves(4).name = 'ML-based MLSE';
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curves(4).eq = equalizer_structure.ml_mlse;
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curves(4).color = clr.Paired.purple;
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%% ============================================================
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% ANALYSIS ENGINE (No plotting)
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% ============================================================
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results = struct;
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for k = 1:numel(curves)
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pre_emph = decide_preemph(pam_level,curves(k).eq);
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precoded = decide_precoded(pam_level,curves(k).eq);
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cfg = struct;
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cfg.x_axis = 'power_mzm'; % ROP axis
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cfg.y_axis = 'BER';
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cfg.agg = 'min';
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cfg.outlier = 'none';
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cfg.show_raw = false;
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cfg.filters = struct( ...
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'pam_level', pam_level, ...
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'fiber_length', fiberL, ...
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'wavelength', wlen, ...
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'bitrate', baudrate, ...
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'is_mpi', 0, ...
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'equalizer_structure', curves(k).eq, ...
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'pre_emph', pre_emph);
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A = analyze_measurements_gpt(dataTable, cfg);
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results(k).x = A.group{1}.x;
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if precoded
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results(k).ber = A.group{1}.y_precoded;
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else
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results(k).ber = A.group{1}.y;
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end
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end
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%% ============================================================
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% PLOT — BER vs ROP (Single Axis)
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% ============================================================
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fig = figure(); clf; hold on;
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lw = 2.0;
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ms = 7;
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for k = 1:numel(curves)
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plot(results(k).x, results(k).ber, ...
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'-o', ...
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'Color', curves(k).color, ...
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'MarkerFaceColor', curves(k).color, ...
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'MarkerSize', ms, ...
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'LineWidth', lw, ...
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'DisplayName', curves(k).name);
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end
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set(gca,'YScale','log');
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grid on;
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xlabel('ROP / Power (MZM) [dBm]');
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ylabel('BER');
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ylim([1e-4 2e-1]);
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title(sprintf('BER vs ROP — PAM-%d, %.0f km, %.0f GBd, %.0f nm', ...
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pam_level, fiberL, baudrate*1e-9, wlen));
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legend('Location','best');
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beautifyBERplot();
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pos = 1e3.*[0.2 0.6 1.3 0.4];
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set(fig, 'Position', pos);
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%% ============================================================
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% DECISION LOGIC (INLINE FUNCTIONS)
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% ============================================================
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function pe = decide_preemph(M, eq)
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% PRE-EMPH RULES:
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switch M
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case 4
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if eq == equalizer_structure.vnle
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pe = 1; % PAM4: VNLE → pre-emph on
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else
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pe = 0; % PAM4: all others → off
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end
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case {6,8}
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pe = 1; % PAM6/8: all → pre-emph on
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otherwise
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pe = 0;
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end
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end
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function flag = decide_precoded(M, eq)
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% PRE-CODE RULES:
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if eq == equalizer_structure.vnle_db_mlse
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flag = 1; % Always for DB-target
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elseif eq == equalizer_structure.ml_mlse && M == 4
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flag = 1; % PAM4: ML-based → precoded
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else
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flag = 0;
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end
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end
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