139 lines
4.6 KiB
Matlab
139 lines
4.6 KiB
Matlab
% === 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.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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dsp_options.debug_plots = false;
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dsp_options.database_type = "mysql";
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dsp_options.dataBase = "labor";
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dsp_options.storage_path = "W:\labdata\ECOC Silas\ecoc_2025";
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dsp_options.server = "192.168.178.192";
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dsp_options.port = 3306;
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dsp_options.user = "silas";
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dsp_options.password = "silas";
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db = DBHandler("dataBase", [dsp_options.dataBase],...
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"type", dsp_options.database_type,...
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"server", dsp_options.server,...
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"user", dsp_options.user, "password", dsp_options.password);
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%%
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pamformats = [4,6,8];
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baudrates = [112e9,96e9,72e9];
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for i = 1
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B = baudrates(i);
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M = pamformats(i);
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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', B); % 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', 20);
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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', M);
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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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[~, sortIdx] = sort(dataTable.sir, 'descend');
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dataTable = dataTable(sortIdx, :);
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% dataTable = dataTable(1,:);
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run_ids = dataTable.run_id;
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%% === Warehouse setup ===
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dsp_options.userParameters = struct();
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dsp_options.userParameters.block_update = 1;%[1,2,4,8,16,32,64,112,224,448,512,1024,2048,2048*2,2048*4];%%logspace(-3.8,-1,22);%[linspace(2,4096,22)];
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% dsp_options.userParameters.block_update = linspace(1,224,22);
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wh = DataStorage(dsp_options.userParameters);
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%%
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n_realizations = (dsp_options.max_occurences - dsp_options.start_occurence + 1);
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n_userparams = prod(wh.dim);
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n_run_ids = numel(run_ids);
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parallel_jobs = n_userparams * n_run_ids;
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queried_jobs = n_realizations * n_userparams * n_run_ids;
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fprintf("-> [ %d run_id(s) × %d userParam combination(s) = %d parallel job(s) ] × %d realizations = %d total jobs \n", ...
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n_run_ids, n_userparams, parallel_jobs, n_realizations, queried_jobs);
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%% === Run ===
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% submitJobs returns the raw per-job results and the filled Warehouse. For a
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% single run_id and remove_dc = [0, 1], results is a 2-by-1 cell array.
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[results, wh] = submitJobs(run_ids, dsp_options, processingMode.parallel, ...
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"wh", wh, ...
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"waitbar", true);
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% savepath = fullfile("C:","Users","Silas","Documents","MATLAB","imdd_simulation","projects","Diss","MPI_revisit","algorithms",sprintf("pam_%d_results.mat",M));
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% save(wh,savepath)
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end
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%% Analyze
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storageNames = fieldnames(wh.sto);
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x_base = dataTable.sir(:).';
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% x_base = dsp_options.userParameters.block_update;
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figure(2026); clf; hold on
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for storage_idx = 1:numel(storageNames)
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storageName = storageNames{storage_idx};
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result = wh.sto.(storageName);
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result = result(:).';
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% Each stored entry is a package cell containing one or more occurrences.
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ber_all = cell(1,numel(result));
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for result_idx = 1:numel(result)
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packageCell = result{result_idx};
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if isempty(packageCell)
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ber_all{result_idx} = NaN;
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continue
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end
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ber_values = nan(1,numel(packageCell));
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for package_idx = 1:numel(packageCell)
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if isstruct(packageCell{package_idx}) && isfield(packageCell{package_idx},"metrics")
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ber_values(package_idx) = packageCell{package_idx}.metrics.BER;
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end
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end
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ber_all{result_idx} = ber_values;
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end
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maxPackages = max(cellfun(@numel,ber_all));
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ber_mat = nan(maxPackages,numel(ber_all));
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for k = 1:numel(ber_all)
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ber_mat(1:numel(ber_all{k}),k) = ber_all{k};
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end
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ber = mean(ber_mat,1,"omitnan");
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x = x_base;
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if numel(x) ~= numel(ber)
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x = 1:numel(ber);
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end
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h = plot(x,ber,"DisplayName",storageName);
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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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"MarkerEdgeColor",h.Color, ...
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"HandleVisibility","off");
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end
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end
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beautifyBERplot("logscale",true,"setcolors",false,"setmarkers",true);
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legend("Location","best","Interpreter","none");
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