% === 400G DSP settings === dsp_options = struct(); dsp_options.mode = "run_id"; dsp_options.recipe = @dsp_400g_recipe; dsp_options.append_to_db = false; % dsp_options.append_mpi_reduction_db = false; dsp_options.start_occurence = 1; dsp_options.max_occurences = 1; dsp_options.debug_plots = false; dsp_options.database_type = "mysql"; dsp_options.dataBase = "labor_highspeed"; if ismac dsp_options.storage_path = "/Volumes/media/labdata/sioe_labor"; else dsp_options.storage_path = "W:\labdata\sioe_labor"; end dsp_options.server = "192.168.178.192"; dsp_options.port = 3306; dsp_options.user = "silas"; dsp_options.password = "silas"; db = DBHandler("dataBase", [dsp_options.dataBase], ... "type", dsp_options.database_type, ... "server", dsp_options.server, ... "user", dsp_options.user, ... "password", dsp_options.password); %% Select runs maxRunIds = 1; % keep small until the recipe settings are settled fp = QueryFilter(); fp.where('Runs','fiber_length','EQUALS', 10); fp.where('Runs','wavelength','EQUALS', 1310); % fp.where('Runs','bitrate','LESS_THAN', 330e9); fp.where('Runs','symbolrate','EQUALS', 174e9); fp.where('Runs','pam_level','EQUALS', 6); fp.where('Runs','rop_attenuation','EQUALS', 0); fp.where('Runs','is_mpi','EQUALS', 0); fp.where('Runs', 'db_mode','EQUALS', 1); fields = db.getTableFieldNames('Runs'); [dataTable, query] = db.queryDB(fp, fields); % disp(query); dataTable = sortrows(dataTable, {'bitrate', 'run_id'}); % dataTable = dataTable(1:maxRunIds, :); run_ids = dataTable.run_id(:).'; if isempty(run_ids) error("investigate_400g_algorithms:MissingRunIds", ... "No 400G runs match the current filters."); end fprintf("Selected %d run_id(s): %s\n", numel(run_ids), mat2str(run_ids)); %% Parameter sweep dsp_options.userParameters = struct(); % Examples for parameter loops. DataStorage expands every vector-valued field. % dsp_options.userParameters.len_tr = 4096*2; % dsp_options.userParameters.pf_ncoeffs = [1,2,3]; % dsp_options.userParameters.decoding_mode = [db_decoder.sequencedetection]; % dsp_options.userParameters.pf_ncoeffs = [1, 2, 3]; % dsp_options.userParameters.mu_dc = [0, 1e-5, 1e-4]; % dsp_options.userParameters.run_ml_mlse_db = [false, true]; % dsp_options.userParameters.run_mlse_db = [false, true]; wh = DataStorage(dsp_options.userParameters); n_realizations = (dsp_options.max_occurences - dsp_options.start_occurence + 1); n_userparams = prod(wh.dim); n_run_ids = numel(run_ids); parallel_jobs = n_userparams * n_run_ids; queried_jobs = n_realizations * n_userparams * n_run_ids; fprintf("-> [ %d run_id(s) x %d userParam combination(s) = %d job(s) ] x %d realizations = %d total jobs \n", ... n_run_ids, n_userparams, parallel_jobs, n_realizations, queried_jobs); %% Run [results, wh] = submitJobs(run_ids, dsp_options, processingMode.serial, ... "wh", wh, ... "waitbar", true); %% Quick result overview printBerSummary(wh); plotBerVsBitrateQuick(wh, dataTable); plotMlseBerPrecodedVsBitrateByPf(wh, dataTable); function printBerSummary(wh) storageNames = fieldnames(wh.sto); if isempty(storageNames) fprintf("No non-empty recipe outputs were stored.\n"); return end fprintf("\nBER summary by stored package:\n"); for storageIdx = 1:numel(storageNames) storageName = storageNames{storageIdx}; values = wh.sto.(storageName)(:).'; berValues = extractBerValues(values); if isempty(berValues) fprintf(" %-18s no BER values\n", storageName); else fprintf(" %-18s min %.3e | median %.3e | n %d\n", ... storageName, min(berValues), median(berValues), numel(berValues)); end end end function berValues = extractBerValues(values) berValues = []; for valueIdx = 1:numel(values) packageCell = values{valueIdx}; if isempty(packageCell) continue end if ~iscell(packageCell) packageCell = {packageCell}; end for packageIdx = 1:numel(packageCell) package = packageCell{packageIdx}; if isstruct(package) && isfield(package, "metrics") metrics = package.metrics; if isprop(metrics, "BER") berValues(end+1) = metrics.BER; %#ok elseif isstruct(metrics) && isfield(metrics, "BER") berValues(end+1) = metrics.BER; %#ok end end end end berValues = berValues(isfinite(berValues)); end function plotBerVsBitrateQuick(wh, dataTable) plotData = buildQuickBerTable(wh, dataTable); if isempty(plotData) fprintf("No BER values available for quick BER-vs-bitrate plot.\n"); return end storageNames = unique(plotData.storage_name, "stable"); decodingModes = [db_decoder.memoryless, db_decoder.sequencedetection]; berMetrics = ["BER", "BER_precoded"]; lineStyles = ["-", ":"]; rawMarkers = [".", "x"]; markers = ["o", "square", "diamond", "^", "v", ">"]; fig = figure(402); clf; ax = axes(fig); hold(ax, "on"); for storageIdx = 1:numel(storageNames) storageName = storageNames(storageIdx); for modeIdx = 1:numel(decodingModes) decodingMode = decodingModes(modeIdx); for metricIdx = 1:numel(berMetrics) metricName = berMetrics(metricIdx); rowMask = plotData.storage_name == storageName & ... plotData.decoding_mode == decodingMode & ... plotData.metric_name == metricName; if ~any(rowMask) continue end modeData = sortrows(plotData(rowMask, :), "bitrate_Gbps"); summaryData = groupsummary(modeData, "bitrate_Gbps", "min", "BER"); summaryData = sortrows(summaryData, "bitrate_Gbps"); color = quickPlotColor(modeIdx); marker = markers(1 + mod(storageIdx - 1, numel(markers))); label = sprintf("%s, %s, %s", storageName, ... decodingModeLabel(decodingMode), metricName); scatter(ax, modeData.bitrate_Gbps, modeData.BER, ... 12, ... "Marker", rawMarkers(metricIdx), ... "MarkerEdgeColor", color, ... "MarkerEdgeAlpha", 0.25, ... "HandleVisibility", "off"); plot(ax, summaryData.bitrate_Gbps, summaryData.min_BER, ... "LineStyle", lineStyles(metricIdx), ... "Marker", marker, ... "MarkerSize", 5, ... "LineWidth", 1.4, ... "Color", color, ... "DisplayName", label); end end end yline(ax, [2.2e-4, 4.85e-3, 2e-2], ... "LineWidth", 1, ... "LineStyle", "--", ... "Color", [0.25 0.25 0.25], ... "HandleVisibility", "off"); xlabel(ax, "Bitrate [Gb/s]"); ylabel(ax, "BER"); title(ax, "Quick BER vs bitrate"); set(ax, "YScale", "log"); grid(ax, "on"); box(ax, "on"); legend(ax, "Location", "best", "Interpreter", "none"); if exist("beautifyBERplot", "file") beautifyBERplot("logscale", true, "setcolors", false, ... "setmarkers", false, "changemarkers", false); end end function plotData = buildQuickBerTable(wh, dataTable) storageNames = fieldnames(wh.sto); if isempty(storageNames) plotData = table(); return end runIds = dataTable.run_id(:); bitrates = dataTable.bitrate(:); storageCol = strings(0, 1); runIdCol = zeros(0, 1); bitrateCol = zeros(0, 1); decodingCol = db_decoder.empty(0, 1); metricCol = strings(0, 1); berCol = zeros(0, 1); for storageIdx = 1:numel(storageNames) storageName = storageNames{storageIdx}; storageValues = wh.sto.(storageName); for linIdx = 1:numel(storageValues) [phys, storedValue] = wh.getPhysAndValueByLinIndex(storageName, linIdx); metricRows = extractBerMetricRows({storedValue}); if isempty(metricRows) || ~isfield(phys, "decoding_mode") continue end runId = resolveRunId(phys, runIds); bitrate = resolveBitrate(runId, runIds, bitrates); if ~isfinite(bitrate) continue end nRows = height(metricRows); storageCol(end+1:end+nRows, 1) = string(storageName); runIdCol(end+1:end+nRows, 1) = double(runId); bitrateCol(end+1:end+nRows, 1) = double(bitrate); decodingCol(end+1:end+nRows, 1) = phys.decoding_mode; metricCol(end+1:end+nRows, 1) = metricRows.metric_name; berCol(end+1:end+nRows, 1) = metricRows.BER; end end plotData = table(storageCol, runIdCol, bitrateCol, decodingCol, metricCol, berCol, ... 'VariableNames', ["storage_name", "run_id", "bitrate", ... "decoding_mode", "metric_name", "BER"]); if ~isempty(plotData) plotData = plotData(isfinite(plotData.BER) & plotData.BER > 0, :); plotData.bitrate_Gbps = plotData.bitrate .* 1e-9; end end function plotMlseBerPrecodedVsBitrateByPf(wh, dataTable) storageName = "mlse_package"; if ~isfield(wh.sto, storageName) fprintf("No %s storage available for BERp plot.\n", storageName); return end runIds = dataTable.run_id(:); bitrates = dataTable.bitrate(:); pfCol = zeros(0, 1); bitrateCol = zeros(0, 1); berpCol = zeros(0, 1); storageValues = wh.sto.(storageName); for linIdx = 1:numel(storageValues) [phys, storedValue] = wh.getPhysAndValueByLinIndex(storageName, linIdx); if ~isfield(phys, "pf_ncoeffs") continue end berp = extractMinMetricValue(storedValue, "BER_precoded"); if ~isfinite(berp) || berp <= 0 continue end runId = resolveRunId(phys, runIds); bitrate = resolveBitrate(runId, runIds, bitrates); if ~isfinite(bitrate) continue end pfCol(end+1, 1) = double(phys.pf_ncoeffs); %#ok bitrateCol(end+1, 1) = double(bitrate) * 1e-9; %#ok berpCol(end+1, 1) = double(berp); %#ok end if isempty(berpCol) fprintf("No BERp values available for %s.\n", storageName); return end plotData = table(pfCol, bitrateCol, berpCol, ... 'VariableNames', ["pf_ncoeffs", "bitrate_Gbps", "BERp"]); summaryData = groupsummary(plotData, ["pf_ncoeffs", "bitrate_Gbps"], ... "min", "BERp"); fig = figure(403); clf; ax = axes(fig); hold(ax, "on"); pfValues = [1, 2, 3]; markers = ["o", "square", "diamond"]; colors = lines(numel(pfValues)); for pfIdx = 1:numel(pfValues) pfValue = pfValues(pfIdx); rowMask = summaryData.pf_ncoeffs == pfValue; if ~any(rowMask) continue end curveData = sortrows(summaryData(rowMask, :), "bitrate_Gbps"); plot(ax, curveData.bitrate_Gbps, curveData.min_BERp, ... "LineWidth", 1.3, ... "Marker", markers(pfIdx), ... "MarkerSize", 5, ... "Color", colors(pfIdx, :), ... "DisplayName", sprintf("pf\\_ncoeffs = %d", pfValue)); end xlabel(ax, "Bitrate [Gb/s]"); ylabel(ax, "min BERp"); title(ax, "MLSE BERp vs bitrate"); set(ax, "YScale", "log"); grid(ax, "on"); box(ax, "on"); legend(ax, "Location", "best", "Interpreter", "none"); set(fig, "Position", [1200, 450, 560, 360]); end function minValue = extractMinMetricValue(value, metricName) minValue = NaN; if isempty(value) return end if ~iscell(value) value = {value}; end metricValues = NaN(1, numel(value)); for packageIdx = 1:numel(value) package = value{packageIdx}; if ~isstruct(package) || ~isfield(package, "metrics") continue end metricValues(packageIdx) = readMetricValue(package.metrics, metricName); end metricValues = metricValues(isfinite(metricValues) & metricValues > 0); if ~isempty(metricValues) minValue = min(metricValues); end end function metricRows = extractBerMetricRows(values) metricNames = strings(0, 1); berValues = zeros(0, 1); requestedMetrics = ["BER", "BER_precoded"]; for valueIdx = 1:numel(values) packageCell = values{valueIdx}; if isempty(packageCell) continue end if ~iscell(packageCell) packageCell = {packageCell}; end for packageIdx = 1:numel(packageCell) package = packageCell{packageIdx}; if ~isstruct(package) || ~isfield(package, "metrics") continue end metrics = package.metrics; for metricIdx = 1:numel(requestedMetrics) metricName = requestedMetrics(metricIdx); value = readMetricValue(metrics, metricName); if isfinite(value) metricNames(end+1, 1) = metricName; %#ok berValues(end+1, 1) = value; %#ok end end end end metricRows = table(metricNames, berValues, ... 'VariableNames', ["metric_name", "BER"]); end function value = readMetricValue(metrics, metricName) value = NaN; fieldName = char(metricName); if isstruct(metrics) && isfield(metrics, fieldName) value = metrics.(fieldName); elseif isobject(metrics) && isprop(metrics, fieldName) value = metrics.(fieldName); end end function runId = resolveRunId(phys, runIds) if isfield(phys, "run_id") runId = phys.run_id; else runId = runIds(1); end end function bitrate = resolveBitrate(runId, runIds, bitrates) rowIdx = find(double(runIds) == double(runId), 1, "first"); if isempty(rowIdx) bitrate = NaN; else bitrate = bitrates(rowIdx); end end function color = quickPlotColor(modeIdx) colors = [ ... 0.1059 0.6196 0.4667; ... 0.8510 0.3725 0.0078]; color = colors(1 + mod(modeIdx - 1, size(colors, 1)), :); end function label = decodingModeLabel(decodingMode) switch decodingMode case db_decoder.memoryless label = "memoryless"; case db_decoder.sequencedetection label = "sequence detection"; otherwise label = string(decodingMode); end end