before new database
This commit is contained in:
Silas Oettinghaus
@@ -1,7 +1,7 @@
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% === DSP settings ===
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dsp_options = struct();
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dsp_options.mode = "run_id";
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dsp_options.recipe = @mpi_recipe_dev;
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dsp_options.recipe = @mpi_recipe;
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dsp_options.append_to_db = false;
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dsp_options.start_occurence = 1;
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dsp_options.max_occurences = 15;
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@@ -27,13 +27,13 @@ db = DBHandler("dataBase", [dsp_options.dataBase],...
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fp = QueryFilter();
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fp.where('Runs','run_id','GREATER_EQUAL',3153);
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fp.where('Runs', 'symbolrate', 'EQUALS', 72e9); % 72 96 112
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fp.where('Runs', 'symbolrate', 'EQUALS', 112e9); % 72 96 112
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fp.where('Runs', 'fiber_length', 'EQUALS', 0);
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fp.where('Runs', 'interference_path_length', 'EQUALS', 1000);
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% fp.where('Runs', 'sir', 'LESS_EQUAL', 50);
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fp.where('Runs', 'db_mode', 'EQUALS', '"no_db"');
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% fp.where('Runs', 'is_mpi', 'EQUALS', 1);
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fp.where('Runs', 'pam_level', 'EQUALS', 8);
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fp.where('Runs', 'pam_level', 'EQUALS', 4);
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% fp.where('Runs', 'v_bias', 'EQUALS', 2.65);
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[dataTable,~] = db.queryDB(fp, db.getTableFieldNames('Runs'));
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@@ -47,7 +47,7 @@ dataTable = dataTable(sortIdx, :);
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run_ids = dataTable.run_id;
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%%
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wh_ = load("C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\Diss\MPI_revisit\parallelization_analysis\wh_block_update_pam8_combined.mat");
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wh_ = load("C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\Diss\MPI_revisit\parallelization_analysis\wh_block_update_pam4_combined.mat");
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wh = wh_.wh;
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% wh_ = load("C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\Diss\MPI_revisit\parallelization_analysis\wh_block_update_pam4_short_blocks.mat");
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@@ -59,6 +59,7 @@ wh = wh_.wh;
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storageNames = fieldnames(wh.sto);
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storageNames = storageNames([1,2,3,5]);
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ber_by_storage = struct();
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ber_mat_by_storage = struct();
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@@ -73,7 +74,10 @@ else
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curve_colors = lines(max(numel(storageNames),1));
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end
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fec_ber_threshold = 2e-2;%3.8e-3;
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useBoundedLines = true;
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usePolyfit = true;
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polyfitOrderMax = 4;
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fec_ber_threshold = 3.8e-3;%3.8e-3;
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fit_coeff_by_storage = struct();
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required_sir_fec_by_storage = struct();
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for storage_idx = 1:numel(storageNames)
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@@ -124,12 +128,19 @@ for block_idx = 1:numel(block_updates)
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ber_mat(1:numel(ber_all{k}),k) = ber_all{k};
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end
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% Replace outliers in ber_mat with NaN (operate column-wise).
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% Match the BER-over-SIR plot cleanup: remove high BER points and outliers per SIR.
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for col = 1:size(ber_mat,2)
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colData = ber_mat(:,col);
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if all(isnan(colData)); continue; end
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mask = isoutlier(colData);
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ber_mat(mask,col) = NaN;
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colData(~isfinite(colData) | colData >= 0.1) = NaN;
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validColData = colData(isfinite(colData));
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if isempty(validColData)
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ber_mat(:,col) = NaN;
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continue
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end
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outliers = isoutlier(validColData);
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validColData(outliers) = NaN;
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colData(isfinite(colData)) = validColData;
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ber_mat(:,col) = colData;
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end
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ber = mean(ber_mat,1,"omitnan");
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@@ -153,38 +164,50 @@ for block_idx = 1:numel(block_updates)
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ber_by_storage.(storageName){block_idx} = ber;
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ber_mat_by_storage.(storageName){block_idx} = ber_mat;
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y_lower = max(ber - ber_min,0);
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y_upper = max(ber_max - ber,0);
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y_bounds = [y_lower(:), y_upper(:)];
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[hl, hp] = boundedline(x(:),ber(:),y_bounds, ...
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'alpha', 'transparency', 0.1, ...
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'cmap', curve_color, ...
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'nan', 'fill', ...
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'orientation', 'vert');
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set(hl, ...
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'LineWidth',1.4, ...
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'LineStyle','none', ...
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'Marker','o', ...
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'Markersize',5,...
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'Color',curve_color, ...
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'DisplayName',storageName);
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set(hp, ...
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'HandleVisibility','off', ...
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'LineStyle','none');
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for k = 1:numel(x)
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scatter(repmat(x(k),maxPackages,1),ber_mat(:,k), ...
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16, ...
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30, ...
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'Marker','.', ...
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'MarkerEdgeColor',curve_color, ...
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'MarkerFaceColor',curve_color, ...
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'HandleVisibility','off');
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end
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fit_mask = isfinite(x) & isfinite(ber) & ber > 0;
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if nnz(fit_mask) >= 2
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fit_order = min(3,nnz(fit_mask)-1);
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valid = isfinite(x) & isfinite(ber);
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if ~any(valid)
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continue
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end
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% if useBoundedLines && exist("boundedline","file")
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% y_lower = max(ber - ber_min,0);
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% y_upper = max(ber_max - ber,0);
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% y_bounds = [y_lower(:), y_upper(:)];
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%
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% [hl, hp] = boundedline(x(valid).',ber(valid).',y_bounds(valid,:), ...
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% 'alpha', 'transparency', 0.08, ...
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% 'cmap', curve_color, ...
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% 'nan', 'fill', ...
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% 'orientation', 'vert');
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% set(hl, ...
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% 'LineStyle','none', ...
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% 'Marker','none', ...
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% 'HandleVisibility','off');
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% set(hp, ...
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% 'HandleVisibility','off', ...
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% 'LineStyle','none');
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% end
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scatter(x(valid),ber(valid), ...
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20, ...
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'Marker','o', ...
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'MarkerEdgeColor',curve_color, ...
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'MarkerFaceColor',curve_color, ...
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'LineWidth',1, ...
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'DisplayName',storageName);
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fit_mask = valid & ber > 0;
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if usePolyfit && nnz(fit_mask) >= 2
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fit_order = min(polyfitOrderMax,nnz(fit_mask)-1);
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fit_coeff = polyfit(x(fit_mask),log10(ber(fit_mask)),fit_order);
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x_fit = linspace(min(x(fit_mask)),max(x(fit_mask)),300);
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y_fit = 10.^polyval(fit_coeff,x_fit);
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@@ -210,9 +233,8 @@ for block_idx = 1:numel(block_updates)
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required_sir_fec_by_storage.(storageName)(block_idx) = sir_req;
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plot(x_fit,y_fit, ...
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'LineWidth',1.2, ...
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'LineWidth',1.1, ...
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'LineStyle','--', ...
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'Marker','none', ...
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'Color',curve_color, ...
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'HandleVisibility','off');
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end
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@@ -221,10 +243,17 @@ for block_idx = 1:numel(block_updates)
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title(sprintf("BER over SIR, block update = %g",block_update));
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xlabel("SIR (dB)");
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ylabel("BER");
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xlim([15 35]);
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beautifyBERplot("logscale",true,"setcolors",false,"setmarkers",false);
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legend("Location","best","Interpreter","none");
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yline(2.2e-4, 'LineWidth', 1, 'LineStyle', '--', 'HandleVisibility', 'off');
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yline(3.8e-3, 'LineWidth', 1, 'LineStyle', '--', 'HandleVisibility', 'off');
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yline(2e-2, 'LineWidth', 1, 'LineStyle', '--', 'HandleVisibility', 'off');
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ylim([9e-5, 0.1]);
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set(gca, "YScale", "log");
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xlim([15,45]);
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grid on;
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box on;
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legend("Location", "best", "Interpreter", "none");
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end
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%% Required SIR to reach FEC over parallelization
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