{"id":14791,"date":"2026-09-17T13:58:47","date_gmt":"2026-09-17T04:58:47","guid":{"rendered":"https:\/\/blogs.mathworks.com\/japan-community\/?p=14791"},"modified":"2026-09-17T13:58:47","modified_gmt":"2026-09-17T04:58:47","slug":"agentic-ai-for-5g-engineering-turning-ai-assistants-into-wireless-experts-jp","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/japan-community\/2026\/09\/17\/agentic-ai-for-5g-engineering-turning-ai-assistants-into-wireless-experts-jp\/","title":{"rendered":"5G \u7121\u7dda\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u306b\u304a\u3051\u308bAgentic AI\uff1aAI\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3092\u7121\u7dda\u901a\u4fe1\u306e\u5c02\u9580\u5bb6\u3078"},"content":{"rendered":"<div class=\"rtcContent\"><span style=\"color: #212121; font-family: Helvetica, Arial, sans-serif, Helvetica, Arial, sans-serif; font-size: 14px; white-space-collapse: preserve;\">\u203b\u3053\u306e\u6295\u7a3f\u306f 2026 \u5e74 9 \u6708 2 \u65e5\u306b <\/span><a style=\"font-family: Helvetica, Arial, sans-serif, Helvetica, Arial, sans-serif; font-size: 14px; white-space-collapse: preserve;\" href=\"https:\/\/blogs.mathworks.com\/semiconductors\/2026\/09\/02\/agentic-ai-for-5g-engineering-turning-ai-assistants-into-wireless-experts\/?from=jp\"> Semiconductor Design and Verification \u3078 \u6295\u7a3f<\/a><span style=\"color: #212121; font-family: Helvetica, Arial, sans-serif, Helvetica, Arial, sans-serif; font-size: 14px; white-space-collapse: preserve;\">\u3055\u308c\u305f\u3082\u306e\u306e\u6284\u8a33\u3067\u3059\u3002<\/span><\/p>\n<h6>&#8212;<\/h6>\n<p>AI \u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3092\u3081\u3050\u308b\u71b1\u6c17\u306f\u3001\u3044\u304f\u3089\u5f37\u8abf\u3057\u3066\u3082\u3057\u3059\u304e\u308b\u3053\u3068\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u30a8\u30f3\u30b8\u30cb\u30a2\u306f GitHub Copilot\u3001Claude Code\u3001OpenAI Codex \u306e\u3088\u3046\u306a\u30c4\u30fc\u30eb\u3092\u65e5\u3005\u4f7f\u3044\u3001\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u958b\u767a\u3092\u52a0\u901f\u3057\u3001\u5b9a\u578b\u4f5c\u696d\u3092\u81ea\u52d5\u5316\u3057\u3066\u3044\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u7121\u7dda\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u3067\u306f\u3001\u30b3\u30fc\u30c9\u751f\u6210\u306f\u8ab2\u984c\u306e\u4e00\u90e8\u306b\u3059\u304e\u307e\u305b\u3093\u3002<\/p>\n<p>\u73fe\u4ee3\u306e\u7121\u7dda\u30b7\u30b9\u30c6\u30e0\u306b\u306f\u3001\u8907\u96d1\u306a\u6a19\u6e96\u898f\u683c\u3001\u5206\u91ce\u56fa\u6709\u306e\u6163\u7fd2\u3001\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3001\u691c\u8a3c\u30d7\u30ed\u30bb\u30b9\u304c\u95a2\u308f\u3063\u3066\u304a\u308a\u3001\u5358\u7d14\u306a\u30b3\u30fc\u30c9\u88dc\u5b8c\u3060\u3051\u3067\u306f\u5bfe\u51e6\u3067\u304d\u307e\u305b\u3093\u3002Agentic AI \u304c AI \u652f\u63f4\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u306e\u6b21\u306e\u9032\u5316\u3068\u3057\u3066\u73fe\u308c\u308b\u4e2d\u3067\u3001\u91cd\u8981\u306a\u554f\u3044\u304c\u6d6e\u304b\u3073\u4e0a\u304c\u308a\u307e\u3059\u3002\u6c4e\u7528\u306e AI \u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3092\u3001\u3069\u3046\u3059\u308c\u3070\u7121\u7dda\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u306e\u5c02\u9580\u5bb6\u3078\u3068\u5909\u3048\u3089\u308c\u308b\u306e\u3067\u3057\u3087\u3046\u304b\u3002\u672c\u7a3f\u3067\u306f\u305d\u306e\u7b54\u3048\u3092\u6398\u308a\u4e0b\u3052\u3001MathWorks \u304c\u5c02\u9580\u5bb6\u306e\u77e5\u898b\u306b\u57fa\u3065\u3044\u3066\u6574\u5099\u3057\u305f\u30c4\u30fc\u30eb\u3068\u30b9\u30ad\u30eb\u306b\u3088\u3063\u3066\u3001AI \u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3092\u6709\u80fd\u306a\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30d1\u30fc\u30c8\u30ca\u30fc\u3078\u5909\u3048\u3089\u308c\u308b\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002<\/p>\n<h2>AI \u306b\u3068\u3063\u3066\u7121\u7dda\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u304c\u96e3\u3057\u3044\u7406\u7531<\/h2>\n<p>\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\uff08LLM\uff09\u306f\u975e\u5e38\u306b\u9ad8\u3044\u80fd\u529b\u3092\u6301\u3061\u5f97\u307e\u3059\u304c\u3001\u4f9d\u7136\u3068\u3057\u3066\u8aa4\u308a\u3092\u8d77\u3053\u3057\u3084\u3059\u304f\u3001\u3068\u308a\u308f\u3051\u6280\u8853\u5206\u91ce\u3067\u306f\u305d\u306e\u8aa4\u308a\u304c\u6df1\u523b\u306a\u554f\u984c\u306b\u306a\u308a\u307e\u3059\u3002\u7121\u7dda\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u306b\u5fc5\u8981\u306a\u5c02\u9580\u77e5\u8b58\u306e\u591a\u304f\u306f\u3001\u6a19\u6e96\u898f\u683c\u3084\u30c4\u30fc\u30eb\u304b\u3089\u5b9f\u52d9\u7684\u306a\u30a8\u30f3\u30b8\u30cb\u30a2\u7d4c\u9a13\u306b\u81f3\u308b\u307e\u3067\u3001\u5b66\u7fd2\u30c7\u30fc\u30bf\u306b\u5341\u5206\u306b\u306f\u8868\u308c\u3066\u3044\u306a\u3044\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u305d\u306e\u7d50\u679c\u3001\u6c4e\u7528\u30e2\u30c7\u30eb\u306f\u5b9f\u884c\u3067\u304d\u308b\u30b3\u30fc\u30c9\u3092\u66f8\u3051\u3066\u3082\u3001\u305d\u306e\u30bf\u30b9\u30af\u306b\u306f\u4e0d\u9069\u5207\u3060\u3063\u305f\u308a\u3001\u52b9\u7387\u306e\u60aa\u3044\u89e3\u304d\u65b9\u306b\u306a\u3063\u305f\u308a\u3059\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u7121\u7dda\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u3067 AI \u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3092\u4f7f\u3046\u969b\u306b\u3088\u304f\u898b\u3089\u308c\u308b\u8ab2\u984c\u306b\u306f\u3001\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u5b58\u5728\u3057\u306a\u3044\u95a2\u6570\u3001\u69cb\u6587\u3001\u898f\u683c\u56fa\u6709\u306e\u5f0f<\/li>\n<li>\u53e4\u3044\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u6163\u884c\u3084\u30ef\u30fc\u30af\u30d5\u30ed\u30fc<\/li>\n<li>\u5206\u91ce\u77e5\u8b58\u306e\u8aa4\u7528<\/li>\n<li>\u8907\u96d1\u3067\u4fdd\u5b88\u3057\u306b\u304f\u3044\u751f\u6210\u30b3\u30fc\u30c9<\/li>\n<li>\u975e\u52b9\u7387\u3067\u8a66\u884c\u932f\u8aa4\u578b\u306e\u554f\u984c\u89e3\u6c7a<\/li>\n<\/ul>\n<p>\u3053\u3046\u3057\u305f\u554f\u984c\u306f\u3001\u30a8\u30f3\u30b8\u30cb\u30a2\u304c\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306b 3GPP 5G NR \u306e\u3088\u3046\u306a\u6a19\u6e96\u898f\u683c\u3092\u6271\u308f\u305b\u305f\u308a\u3001\u9ad8\u5ea6\u306a\u7121\u7dda\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u306e\u4f5c\u696d\u3092\u3055\u305b\u305f\u308a\u3059\u308b\u3068\u3001\u3044\u3063\u305d\u3046\u660e\u78ba\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<pre class=\"not_code\">\u3082\u3063\u3068\u8a73\u3057\u304f\u306f <a href=\"https:\/\/www.mathworks.com\/products\/matlab\/agentic-ai.html\">MATLAB Agentic Toolkit<\/a> \u306e\u30da\u30fc\u30b8\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/pre>\n<h2>AI \u306b\u7121\u7dda\u901a\u4fe1\u30a8\u30f3\u30b8\u30cb\u30a2\u306e\u4ed5\u4e8b\u306e\u9032\u3081\u65b9\u3092\u6559\u3048\u308b<\/h2>\n<p><a href=\"https:\/\/www.mathworks.com\/products\/matlab\/agentic-ai.html\">MATLAB Agentic Toolkit<\/a> \u306e\u5c0e\u5165\u306b\u3088\u308a\u3001AI \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306f MATLAB MCP Server \u3092\u901a\u3058\u3066 MATLAB \u306e\u5168\u6a5f\u80fd\u3092\u6d3b\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u304c\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30c4\u30fc\u30eb\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u3066\u3082\u3001\u306a\u304a\u5206\u91ce\u77e5\u8b58\u306f\u5fc5\u8981\u3067\u3059\u3002\u3053\u306e\u8ab2\u984c\u306b\u5bfe\u51e6\u3059\u308b\u305f\u3081\u3001MathWorks \u306f MATLAB Agentic Toolkit \u306e\u4e2d\u306b\u3001\u5c02\u9580\u5bb6\u304c\u6574\u5099\u3057\u305f\u30b9\u30ad\u30eb\u3092\u5c0e\u5165\u3057\u307e\u3057\u305f\u3002\u3053\u308c\u3089\u306e\u30b9\u30ad\u30eb\u306b\u306f\u3001\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u4e0a\u306e\u6307\u91dd\u3001\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306e\u77e5\u898b\u3001\u63a8\u5968 API\u3001\u5206\u91ce\u56fa\u6709\u306e\u77e5\u8b58\u304c\u7d44\u307f\u8fbc\u307e\u308c\u3066\u304a\u308a\u3001\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u304c\u3088\u308a\u52b9\u679c\u7684\u306b\u30bf\u30b9\u30af\u3092\u89e3\u3051\u308b\u3088\u3046\u652f\u63f4\u3057\u307e\u3059\u3002<\/p>\n<p>\u7121\u7dda\u901a\u4fe1\u30ab\u30bf\u30ed\u30b0\u306b\u306f\u3001\u6b21\u306e\u3088\u3046\u306a\u5206\u91ce\u3092\u30ab\u30d0\u30fc\u3059\u308b\u30b9\u30ad\u30eb\u304c\u542b\u307e\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<ul>\n<li>AWGN \u3068 SNR \u306e\u5b9a\u7fa9<\/li>\n<li>OFDM \u30b7\u30b9\u30c6\u30e0\u8a2d\u8a08<\/li>\n<li>5G NR \u6ce2\u5f62\u751f\u6210<\/li>\n<li>\u7121\u7dda\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3<\/li>\n<li>Bluetooth \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3<\/li>\n<li>USRP \u7121\u7dda\u6a5f\u306e\u8a2d\u5b9a<\/li>\n<\/ul>\n<p>\u8a66\u884c\u932f\u8aa4\u3067\u89e3\u6c7a\u7b56\u3092\u4f55\u5ea6\u3082\u63a2\u3057\u76f4\u3059\u4ee3\u308f\u308a\u306b\u3001\u3053\u308c\u3089\u306e\u30b9\u30ad\u30eb\u306f\u3001\u78ba\u7acb\u3055\u308c\u305f\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u5b9f\u52d9\u3078\u3068\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u5c0e\u304d\u307e\u3059\u3002<img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-670 \" src=\"http:\/\/blogs.mathworks.com\/semiconductors\/files\/2026\/09\/AgenticAIIntro-1024x377.png\" alt=\"AI plus a Skill (right functions, right sequence, right way, powered by MATLAB toolboxes and expert knowledge) equals better outcomes: correct answers, less time, better quality code, less code to review, fewer tokens.\" width=\"671\" height=\"247\" \/><\/p>\n<h2>5G \u6ce2\u5f62\u751f\u6210\u306e\u4f8b<\/h2>\n<p>5G \u7121\u7dda\u901a\u4fe1\u30a8\u30f3\u30b8\u30cb\u30a2\u304c\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306b\u4efb\u305b\u305d\u3046\u306a\u4f5c\u696d\u3092\u8003\u3048\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u7279\u5b9a\u306e\u5e2f\u57df\u5e45\u3001\u30cc\u30e1\u30ed\u30ed\u30b8\u30fc\u3001\u30c1\u30e3\u30cd\u30eb\u69cb\u6210\u306b\u5bfe\u3059\u308b\u30c0\u30a6\u30f3\u30ea\u30f3\u30af\u6ce2\u5f62\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u3067\u3059\u3002\u79c1\u305f\u3061\u306f AI \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306b\u6b21\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u3092\u4e0e\u3048\u307e\u3057\u305f\u3002<\/p>\n<div style=\"background: #1e1e1e; color: #e6e6e6; border-radius: 6px; padding: 16px 18px; font-family: Consolas,'Courier New',monospace; font-size: 14px; line-height: 1.5;\"><span style=\"color: #4ec9b0;\">&gt; <\/span>2 \u30d5\u30ec\u30fc\u30e0\u300115 kHz SCS\u300120 MHz \u306e 5G NR \u30c0\u30a6\u30f3\u30ea\u30f3\u30af\u6ce2\u5f62\u3092\u751f\u6210\u3059\u308b\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u4f5c\u6210\u3057\u3066\u304f\u3060\u3055\u3044\u3002QPSK \u5909\u8abf\u306e\u30c7\u30fc\u30bf\u30c1\u30e3\u30cd\u30eb\u3068 4 \u500b\u306e SS\/PBCH \u30d6\u30ed\u30c3\u30af\u3092\u6301\u3061\u3001\u5168\u30ea\u30bd\u30fc\u30b9\u30d6\u30ed\u30c3\u30af\u3092\u5272\u308a\u5f53\u3066\u305f\u30ea\u30bd\u30fc\u30b9\u30b0\u30ea\u30c3\u30c9\u3092\u69cb\u6210\u3057\u3001\u5236\u5fa1\u30c1\u30e3\u30cd\u30eb\u306f\u542b\u3081\u306a\u3044\u3067\u304f\u3060\u3055\u3044\u3002<\/div>\n<p>\u3053\u3053\u3067\u306f\u3001\u751f\u6210\u3055\u308c\u305f\u30b3\u30fc\u30c9\u306e\u5192\u982d\u6570\u884c\u3092\u793a\u3057\u307e\u3059\u3002<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<pre style=\"background: #ffffff; border: 1px solid #d3d3d3; border-radius: 4px; padding: 16px; overflow: auto; font-family: Consolas,'Courier New',monospace; font-size: 13px; line-height: 1.4; color: #000000;\"><span style=\"color: #228b22;\">%% Carrier-level configuration<\/span>\r\ncfg = nrDLCarrierConfig;\r\ncfg.Label            = <span style=\"color: #a020f0;\">\"20 MHz, 15 kHz SCS DL carrier\"<\/span>;\r\ncfg.FrequencyRange   = <span style=\"color: #a020f0;\">\"FR1\"<\/span>;\r\ncfg.ChannelBandwidth = 20;\r\ncfg.NCellID          = 1;\r\ncfg.NumSubframes     = 20;\r\ncfg.WindowingPercent = 0;\r\ncfg.SampleRate       = [];\r\n\r\n<span style=\"color: #228b22;\">%% SCS carrier: 20 MHz @ 15 kHz SCS<\/span>\r\nscs = nrSCSCarrierConfig;\r\nscs.SubcarrierSpacing = 15;\r\nscs.NSizeGrid         = 106;\r\nscs.NStartGrid        = 0;\r\ncfg.SCSCarriers       = {scs};\r\n\r\n<span style=\"color: #228b22;\">%% Bandwidth part spanning carrier<\/span>\r\nbwp = nrWavegenBWPConfig;\r\nbwp.BandwidthPartID   = 1;\r\nbwp.SubcarrierSpacing = 15;\r\nbwp.NSizeBWP          = 106;\r\nbwp.NStartBWP         = 0;\r\ncfg.BandwidthParts    = {bwp};\r\n...<\/pre>\n<p><!-- wp:paragraph --><\/p>\n<p>\u8a66\u884c\u932f\u8aa4\u3092\u7d4c\u305f\u7d50\u679c\u3001\u3053\u306e\u30b3\u30fc\u30c9\u306f\u8981\u6c42\u3055\u308c\u305f\u6ce2\u5f62\u3092\u751f\u6210\u3067\u304d\u307e\u3057\u305f\u304c\u3001\u305d\u306e\u305f\u3081\u306b\u4f55\u5ea6\u3082\u3084\u308a\u76f4\u3059\u5fc5\u8981\u304c\u3042\u308a\u3001\u6642\u9593\u3068\u30c8\u30fc\u30af\u30f3\u6d88\u8cbb\u304c\u5897\u3048\u307e\u3057\u305f\u3002\u3055\u3089\u306b\u3001\u3053\u306e\u30b3\u30fc\u30c9\u306f\u9577\u304f\u3001\u30cf\u30fc\u30c9\u30b3\u30fc\u30c9\u3055\u308c\u305f\u5024\u3092\u7e70\u308a\u8fd4\u3057\u3001\u65e2\u5b9a\u5024\u306e\u30d7\u30ed\u30d1\u30c6\u30a3\u3092\u4e0d\u8981\u306b\u8a2d\u5b9a\u3057\u3001\u53e4\u3044\u6163\u7fd2\u306b\u4f9d\u5b58\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>\u3053\u3053\u3067\u30b9\u30ad\u30eb\u304c\u5f79\u7acb\u3061\u307e\u3059\u3002MATLAB Agentic Toolkit \u306e <strong>matlab-generate-5g-waveform<\/strong> \u30b9\u30ad\u30eb\u306f\u3001\u9069\u5207\u306a\u95a2\u6570\u3001\u30ea\u30bd\u30fc\u30b9\u30b0\u30ea\u30c3\u30c9\u69cb\u6210\u3001\u6700\u65b0\u306e\u30c4\u30fc\u30eb\u30dc\u30c3\u30af\u30b9\u306e\u30d9\u30b9\u30c8\u30d7\u30e9\u30af\u30c6\u30a3\u30b9\u3092\u542b\u3081\u3066\u3001\u7d4c\u9a13\u8c4a\u5bcc\u306a\u7121\u7dda\u901a\u4fe1\u30a8\u30f3\u30b8\u30cb\u30a2\u304c\u3069\u306e\u3088\u3046\u306b\u6ce2\u5f62\u751f\u6210\u306b\u53d6\u308a\u7d44\u3080\u304b\u3092\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306b\u6559\u3048\u307e\u3059\u3002\u3053\u306e\u30b9\u30ad\u30eb\u304c\u4f7f\u3048\u308b\u3068\u3001\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306f\u540c\u3058\u89e3\u306b\u3088\u308a\u52b9\u7387\u7684\u306a\u7d4c\u8def\u3067\u5230\u9054\u3057\u307e\u3059\u3002<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<pre style=\"background: #ffffff; border: 1px solid #d3d3d3; border-radius: 4px; padding: 16px; overflow: auto; font-family: Consolas,'Courier New',monospace; font-size: 13px; line-height: 1.4; color: #000000;\"><span style=\"color: #228b22;\">%% Carrier configuration: FR1, 20 MHz, 15 kHz SCS<\/span>\r\ncfg = nrDLCarrierConfig(<span style=\"color: #a020f0;\">'FR1'<\/span>, 20, 15);\r\n\r\n<span style=\"color: #228b22;\">% Two radio frames (20 subframes)<\/span>\r\ncfg.NumSubframes = 20;\r\n\r\n<span style=\"color: #228b22;\">%% PDSCH data channel: QPSK, fully allocated 20 MHz at 15 kHz SCS<\/span>\r\nnSizeBWP = cfg.BandwidthParts{1}.NSizeBWP;\r\ncfg.PDSCH{1}.Modulation = <span style=\"color: #a020f0;\">'QPSK'<\/span>;\r\ncfg.PDSCH{1}.PRBSet = 0:nSizeBWP-1;\r\ncfg.PDSCH{1}.SymbolAllocation = [0 14];\r\n...<\/pre>\n<p><!-- wp:paragraph --><\/p>\n<p>\u3053\u306e\u4f8b\u3067\u306f\u30b9\u30ad\u30eb\u3092\u4f7f\u7528\u3057\u305f\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u304c\u521d\u56de\u306e\u8a66\u884c\u3067\u8981\u4ef6\u3092\u6e80\u305f\u3059\u30b3\u30fc\u30c9\u3092\u751f\u6210\u3057\u3001\u3088\u308a\u5c11\u306a\u3044\u30c8\u30fc\u30af\u30f3\u3068\u77ed\u3044\u6642\u9593\u3067\u671f\u5f85\u3069\u304a\u308a\u306e\u6ce2\u5f62\u3092\u751f\u6210\u3057\u307e\u3057\u305f\u3002\u5f97\u3089\u308c\u305f\u30b3\u30fc\u30c9\u306f\u9577\u3055\u304c\u304a\u3088\u305d\u534a\u5206\u306b\u306a\u308a\u3001\u73fe\u5728\u306e\u30c4\u30fc\u30eb\u30dc\u30c3\u30af\u30b9\u306e\u6163\u7fd2\u306b\u3082\u5f93\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>\u00a012 \u4ef6\u306e\u6ce2\u5f62\u751f\u6210\u30bf\u30b9\u30af\u3067\u306f\u3001\u3053\u306e\u30b9\u30ad\u30eb\u306f\u4e00\u8cab\u3057\u3066\u3001\u3088\u308a\u7c21\u6f54\u306a\u30b3\u30fc\u30c9\u306e\u751f\u6210\u3001\u53cd\u5fa9\u56de\u6570\u306e\u524a\u6e1b\u3001\u305d\u3057\u3066\u5927\u5e45\u306b\u901f\u3044\u30bf\u30b9\u30af\u5b8c\u4e86\u306b\u5f79\u7acb\u3061\u307e\u3057\u305f\u3002<\/p>\n<table style=\"border-collapse: collapse; width: auto; max-width: 100%; margin: 0 auto; font-family: Arial,Helvetica,sans-serif; font-size: 15px;\">\n<thead>\n<tr style=\"background: #0076a8; color: #ffffff;\">\n<th style=\"padding: 12px 14px; text-align: left; border-bottom: 2px solid #005a80;\">\u6307\u6a19<\/th>\n<th style=\"padding: 12px 14px; text-align: center; border-bottom: 2px solid #005a80;\">\u30b9\u30ad\u30eb\u306a\u3057<\/th>\n<th style=\"padding: 12px 14px; border-bottom: 2px solid #005a80; text-align: center;\">\u30b9\u30ad\u30eb\u3042\u308a<\/th>\n<th style=\"padding: 12px 14px; border-bottom: 2px solid #005a80; text-align: center;\">\u6539\u5584<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"background: #ffffff;\">\n<td style=\"padding: 11px 14px; font-weight: bold; border-bottom: 1px solid #e3e3e3;\">\u521d\u56de\u6210\u529f\u7387<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3; color: #888;\">0%<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3;\">58%<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3; font-weight: bold; color: #1a7d38;\">7 \u30bf\u30b9\u30af\u5897<\/td>\n<\/tr>\n<tr style=\"background: #f4f8fa;\">\n<td style=\"padding: 11px 14px; font-weight: bold; border-bottom: 1px solid #e3e3e3;\">\u5e73\u5747\u53cd\u5fa9\u56de\u6570<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3; color: #888;\">6.7<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3;\">3.1<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3; font-weight: bold; color: #1a7d38;\">54% \u6e1b<\/td>\n<\/tr>\n<tr style=\"background: #ffffff;\">\n<td style=\"padding: 11px 14px; font-weight: bold; border-bottom: 1px solid #e3e3e3;\">\u5e73\u5747\u30c8\u30fc\u30af\u30f3\u6570<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3; color: #888;\">54,955<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3;\">36,668<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3; font-weight: bold; color: #1a7d38;\">33% \u6e1b<\/td>\n<\/tr>\n<tr style=\"background: #f4f8fa;\">\n<td style=\"padding: 11px 14px; font-weight: bold; border-bottom: 1px solid #e3e3e3;\">\u5e73\u5747\u6240\u8981\u6642\u9593<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3; color: #888;\">718 s<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3;\">330 s<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3; font-weight: bold; color: #1a7d38;\">54% \u9ad8\u901f\u5316<\/td>\n<\/tr>\n<tr style=\"background: #ffffff;\">\n<td style=\"padding: 11px 14px; font-weight: bold; border-bottom: 1px solid #e3e3e3;\">\u30b3\u30fc\u30c9\u9577<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3; color: #888;\">77 LOC<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3;\">60 LOC<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3; font-weight: bold; color: #1a7d38;\">22% \u77ed\u7e2e<\/td>\n<\/tr>\n<tr style=\"background: #f4f8fa;\">\n<td style=\"padding: 11px 14px; font-weight: bold; border-bottom: 1px solid #e3e3e3;\">\u5408\u683c\u7387<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3;\">100%<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3;\">100%<\/td>\n<td style=\"padding: 11px 14px; text-align: center; border-bottom: 1px solid #e3e3e3; color: #888;\">&#8211;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><!-- wp:heading --><\/p>\n<h2>Agentic AI \u306e 5G PHY \u958b\u767a\u3078\u306e\u5fdc\u7528<\/h2>\n<p><!-- \/wp:heading --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306f\u3001\u8907\u6570\u306e\u7121\u7dda\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u306e\u8907\u6570\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306b\u304a\u3051\u308b\u9ad8\u5ea6\u306a\u30bf\u30b9\u30af\u3092\u652f\u63f4\u3067\u304d\u307e\u3059\u3002<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:heading {\"level\":3} --><\/p>\n<p><strong>\u8a2d\u8a08\u691c\u8a3c<\/strong>: 5G NR \u7269\u7406\u5c64\u5b9f\u88c5\u3092\u691c\u8a3c\u3059\u308b\u306b\u306f\u30013GPP \u304c\u5b9a\u7fa9\u3057\u305f\u6280\u8853\u4ed5\u69d8\u306b\u57fa\u3065\u3044\u305f\u4fe1\u983c\u6027\u306e\u9ad8\u3044\u30ea\u30d5\u30a1\u30ec\u30f3\u30b9\u5b9f\u88c5\u304c\u5fc5\u8981\u3067\u3059\u3002MathWorks \u306e <a href=\"https:\/\/www.mathworks.com\/products\/5g.html\">5G Toolbox<\/a> \u306f\u3001\u305d\u306e\u3088\u3046\u306a\u30ea\u30d5\u30a1\u30ec\u30f3\u30b9\u5b9f\u88c5\u3092\u63d0\u4f9b\u3057\u3001AI \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u304c\u793e\u5185\u5b9f\u88c5\u3092\u691c\u8a3c\u3057\u3001\u5dee\u7570\u3092\u7279\u5b9a\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<a href=\"https:\/\/www.mathworks.com\/products\/matlab-test.html\">MATLAB Test<\/a> \u3068 5G Toolbox \u3092\u7528\u3044\u308c\u3070\u3001\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306f\u30c6\u30b9\u30c8\u306e\u4f5c\u6210\u3068\u5b9f\u884c\u3001\u5931\u6557\u306e\u8a3a\u65ad\u3001\u6839\u672c\u539f\u56e0\u306e\u7279\u5b9a\u3001\u4fee\u6b63\u306e\u9069\u7528\u3001\u305d\u3057\u3066\u30b4\u30fc\u30eb\u30c7\u30f3\u30ea\u30d5\u30a1\u30ec\u30f3\u30b9\u306b\u5bfe\u3059\u308b\u4fee\u6b63\u7d50\u679c\u306e\u691c\u8a3c\u307e\u3067\u884c\u3048\u307e\u3059\u3002\u3053\u308c\u3092\u793a\u3059\u305f\u3081\u306b\u3001\u79c1\u305f\u3061\u306f AI \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306b\u6b21\u306e\u3088\u3046\u306b\u6307\u793a\u3057\u307e\u3057\u305f\u3002<\/p>\n<div style=\"background: #1e1e1e; color: #e6e6e6; border-radius: 6px; padding: 16px 18px; font-family: Consolas,'Courier New',monospace; font-size: 14px; line-height: 1.5;\"><span style=\"color: #4ec9b0;\">&gt; <\/span>5G Toolbox \u3092\u53c2\u7167\u3057\u3066\u3001myPDSCH.m \u7528\u306e MATLAB \u30d1\u30e9\u30e1\u30fc\u30bf\u5316\u30e6\u30cb\u30c3\u30c8\u30c6\u30b9\u30c8\u3092\u66f8\u3044\u3066\u5b9f\u884c\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u5931\u6557\u306e\u6839\u672c\u539f\u56e0\u3092\u7279\u5b9a\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/div>\n<p>\u3053\u306e 1 \u3064\u306e\u6307\u793a\u304b\u3089\u3001\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306f <strong>myPDSCH<\/strong> \u3092\u8aad\u307f\u53d6\u308a\u3001MATLAB MCP Server \u3092\u4f7f\u3063\u3066\u5bfe\u5fdc\u3059\u308b 5G Toolbox \u306e\u53c2\u7167\u95a2\u6570 <strong>nrPDSCH<\/strong> \u3092\u898b\u3064\u3051\u51fa\u3057\u3001\u305d\u306e\u3046\u3048\u3067 108 \u901a\u308a\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u7d44\u307f\u5408\u308f\u305b\uff084 \u7a2e\u985e\u306e\u5909\u8abf\u30013 \u5c64\u30013 \u3064\u306e NID\u30013 \u3064\u306e RNTI\uff09\u3092\u7db2\u7f85\u3059\u308b\u30c6\u30b9\u30c8\u3092\u66f8\u304d\u307e\u3059\u3002\u30c6\u30b9\u30c8\u304c\u5931\u6557\u3059\u308b\u3068\u3001\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306f\u30b9\u30af\u30e9\u30f3\u30d6\u30ea\u30f3\u30b0\u7cfb\u5217\u304c\u58ca\u308c\u3066\u3044\u308b\u3053\u3068\u3092\u8a3a\u65ad\u3057\u3001\u81ea\u529b\u3067\u6839\u672c\u539f\u56e0\u3092 1 \u884c\u306e\u30b3\u30fc\u30c9\u306b\u307e\u3067\u7a81\u304d\u6b62\u3081\u307e\u3059\u3002\u4fee\u6b63\u3092\u9069\u7528\u3057\u3066\u518d\u5b9f\u884c\u3059\u308b\u3068\u3001108 \u4ef6\u3059\u3079\u3066\u306e\u30c6\u30b9\u30c8\u304c\u901a\u904e\u3057\u3001\u3053\u306e\u4f8b\u3067\u306f\u3001\u8a3a\u65ad\u3001\u4fee\u6b63\u3001\u691c\u8a3c\u306e\u4e00\u9023\u306e\u51e6\u7406\u304c\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306b\u3088\u3063\u3066\u5b9f\u884c\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n<p>\u4e0b\u306e\u753b\u50cf\u306f\u3001AI \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u304c\u81ea\u5f8b\u7684\u306b\u5b9f\u884c\u3057\u305f\u6700\u521d\u306e\u6570\u30b9\u30c6\u30c3\u30d7\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-673 \" src=\"http:\/\/blogs.mathworks.com\/semiconductors\/files\/2026\/09\/TerminalGoldenReference-1024x589.png\" alt=\"\" width=\"694\" height=\"399\" \/><\/p>\n<p><strong>\u6027\u80fd\u8a55\u4fa1\u3068\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3:<\/strong> 3GPP \u306f\u30015G \u30c8\u30e9\u30f3\u30b7\u30fc\u30d0\u30fc\u304c\u6e80\u305f\u3059\u3079\u304d\u6700\u4f4e\u6027\u80fd\u8981\u4ef6\u3092\u5b9a\u7fa9\u3057\u3066\u3044\u307e\u3059\u3002MathWorks \u306e 5G Toolbox \u306f\u3001\u6027\u80fd\u8a55\u4fa1\u306b\u5229\u7528\u3067\u304d\u308b\u67d4\u8edf\u306a\u53c2\u7167\u8a2d\u8a08\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306f\u3001\u3053\u308c\u3089\u306e\u691c\u8a3c\u6e08\u307f\u8a2d\u8a08\u3092\u30bc\u30ed\u304b\u3089\u69cb\u7bc9\u3059\u308b\u4ee3\u308f\u308a\u306b\u5229\u7528\u3067\u304d\u308b\u305f\u3081\u3001\u30cf\u30eb\u30b7\u30cd\u30fc\u30b7\u30e7\u30f3\u3001\u30c8\u30fc\u30af\u30f3\u4f7f\u7528\u91cf\u3001\u5b8c\u4e86\u307e\u3067\u306e\u6642\u9593\u3092\u6e1b\u3089\u305b\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001\u6b21\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u306f\u3001\u30ab\u30b9\u30bf\u30e0\u306e 5G NR \u30c1\u30e3\u30cd\u30eb\u63a8\u5b9a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092 5G Toolbox \u306e\u30c1\u30e3\u30cd\u30eb\u63a8\u5b9a\u5668\u3068\u6bd4\u8f03\u8a66\u9a13\u3059\u308b\u3088\u3046 AI \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306b\u6307\u793a\u3057\u307e\u3059\u3002<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><!-- TODO: ADD VIDEO HERE (embed block) --><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:heading {\"level\":3} --><!-- \/wp:heading --><\/p>\n<p><!-- wp:paragraph --><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:quote --><\/p>\n<div style=\"background: #1e1e1e; color: #e6e6e6; border-radius: 6px; padding: 16px 18px; font-family: Consolas,'Courier New',monospace; font-size: 14px; line-height: 1.5;\"><span style=\"color: #4ec9b0;\">&gt; <\/span>5G Toolbox \u306e\u53c2\u7167\u5b9f\u88c5\u306b\u5bfe\u3057\u3066 myChannelEstimate.m \u3092\u30c6\u30b9\u30c8\u3057\u3066\u304f\u3060\u3055\u3044\u3002NR PDSCH Throughput \u306e\u4f8b\u3092\u51fa\u767a\u70b9\u306b\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u6383\u5f15\u3057\u3001\u3069\u3053\u3067\u7834\u7dbb\u3059\u308b\u304b\u3092\u898b\u3064\u3051\u3066\u304f\u3060\u3055\u3044\u3002<\/div>\n<p><!-- \/wp:quote --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306f <a href=\"https:\/\/www.mathworks.com\/help\/5g\/ug\/nr-pdsch-throughput.html\">NR PDSCH Throughput<\/a> \u306e\u53c2\u7167\u4f8b\u3092\u8aad\u307f\u3001\u30b3\u30fc\u30c9\u306e\u5dee\u3057\u8fbc\u307f\u7b87\u6240\u3092\u7279\u5b9a\u3057\u3001\u30d1\u30e9\u30e1\u30fc\u30bf\u6383\u5f15\u3092\u5b9f\u884c\u3057\u3001\u9ad8\u30c9\u30c3\u30d7\u30e9\u30fc\u6761\u4ef6\u304c\u5931\u6557\u70b9\u3067\u3042\u308b\u3053\u3068\u3092\u7a81\u304d\u6b62\u3081\u3001\u6839\u672c\u539f\u56e0\u3092 1 \u884c\u306e\u30b3\u30fc\u30c9\u306b\u307e\u3067\u7d5e\u308a\u8fbc\u307f\u307e\u3059\u3002\u3064\u307e\u308a\u3001\u6642\u9593\u88dc\u9593\u306e\u9078\u629e\u304c <strong>&#8216;nearest&#8217;<\/strong> \u304b <strong>&#8216;linear&#8217;<\/strong> \u304b\u3068\u3044\u3046\u9055\u3044\u3067\u3059\u3002\u691c\u8a3c\u6e08\u307f\u30c6\u30b9\u30c8\u30d9\u30f3\u30c1\u306b\u57fa\u3065\u304f\u3053\u3068\u3067\u3001\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306f\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u57fa\u76e4\u3092\u518d\u69cb\u7bc9\u3059\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u5206\u6790\u3068\u8a3a\u65ad\u306b\u96c6\u4e2d\u3067\u304d\u3001\u652f\u63f4\u306e\u306a\u3044\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3088\u308a\u3082\u306f\u308b\u304b\u306b\u77ed\u6642\u9593\u3067\u3001\u6b63\u78ba\u304b\u3064\u691c\u8a3c\u53ef\u80fd\u306a\u7b54\u3048\u306b\u5230\u9054\u3057\u307e\u3059\u3002<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-681  aligncenter\" src=\"http:\/\/blogs.mathworks.com\/semiconductors\/files\/2026\/09\/ChannelEstimate-1024x482.png\" alt=\"\" width=\"726\" height=\"342\" \/><\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:heading {\"level\":3} --><\/p>\n<p><strong>RF \u30b7\u30b9\u30c6\u30e0\u7279\u6027\u8a55\u4fa1:<\/strong> 3GPP \u306f RF \u9069\u5408\u8a66\u9a13\u306e\u305f\u3081\u306e\u30c6\u30b9\u30c8\u30d9\u30af\u30c8\u30eb\u3068\u6e2c\u5b9a\u624b\u9806\u3092\u5b9a\u7fa9\u3057\u3066\u3044\u307e\u3059\u3002MathWorks \u306e 5G Toolbox \u306f\u3001\u898f\u683c\u6e96\u62e0\u306e\u6ce2\u5f62\u751f\u6210\u6a5f\u80fd\u3068\u89e3\u6790\u30c4\u30fc\u30eb\u306e\u4e21\u65b9\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306f\u3053\u308c\u3089\u3092\u7528\u3044\u3066\u3001\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30e2\u30c7\u30eb\u306e\u52d5\u4f5c\u70b9\u306b\u5bfe\u3059\u308b\u6383\u5f15\u3092\u69cb\u7bc9\u3057\u3066\u5b9f\u884c\u3057\u3001\u6280\u8853\u4ed5\u69d8\u3067\u5b9a\u3081\u3089\u308c\u305f\u8981\u4ef6\u3092\u6e80\u305f\u3059\u8a2d\u5b9a\u3078\u3068\u53ce\u675f\u3067\u304d\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001\u6b21\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u306f\u3001EVM \u8981\u4ef6\u3092\u6e80\u305f\u3059\u30d1\u30ef\u30fc\u30a2\u30f3\u30d7\u306e\u5165\u529b\u30d0\u30c3\u30af\u30aa\u30d5\uff08IBO\uff09\u3092\u898b\u3064\u3051\u308b\u3088\u3046\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306b\u6307\u793a\u3057\u307e\u3059\u3002<\/p>\n<p><!-- \/wp:heading --><\/p>\n<p><!-- wp:paragraph --><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><!-- \/wp:paragraph --><\/p>\n<div style=\"background: #1e1e1e; color: #e6e6e6; border-radius: 6px; padding: 16px 18px; font-family: Consolas,'Courier New',monospace; font-size: 14px; line-height: 1.5;\"><span style=\"color: #4ec9b0;\">&gt; <\/span>\u3053\u306e\u30d5\u30a9\u30eb\u30c0\u30fc\u306b\u3042\u308b\u96fb\u529b\u5897\u5e45\u5668\u3092\u300110 MHz FR1 TM1.1 \u306e 5G NR DL \u6ce2\u5f62\u3067\u8a55\u4fa1\u3057\u305f\u3044\u3067\u3059\u3002\u3053\u306e\u5897\u5e45\u5668\u304c RMS EVM 17.5% \u4ee5\u4e0b\u3092\u9054\u6210\u3059\u308b\u305f\u3081\u306b\u5fc5\u8981\u306a IBO \u3092\u898b\u3064\u3051\u308b\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u66f8\u3044\u3066\u304f\u3060\u3055\u3044\u3002EVM \u306f TS 38.104 \u3067\u5b9a\u7fa9\u3055\u308c\u3066\u3044\u308b\u65b9\u6cd5\u3067\u6e2c\u5b9a\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/div>\n<p><!-- wp:paragraph --><\/p>\n<p>\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306f\u5229\u7528\u53ef\u80fd\u306a\u30c4\u30fc\u30eb\u3092\u7279\u5b9a\u3057\u3001\u30d1\u30ef\u30fc\u30a2\u30f3\u30d7\u306e\u5165\u529b\u30d0\u30c3\u30af\u30aa\u30d5\u3092\u6383\u5f15\u3057\u3066\u300117.5% \u306e EVM \u4e0a\u9650\u3092\u6e80\u305f\u3059\u52d5\u4f5c\u70b9\u3001\u3059\u306a\u308f\u3061 IBO = 0.64 dB \u3092\u7279\u5b9a\u3057\u307e\u3059\u3002\u6e2c\u5b9a\u7528\u30c6\u30b9\u30c8\u30d9\u30f3\u30c1\u306f\u3059\u3067\u306b\u898f\u683c\u6e96\u62e0\u3067\u3042\u308b\u305f\u3081\u3001\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306f\u63a2\u7d22\u306b\u96c6\u4e2d\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u4f8b\u3067\u306f\u3001\u652f\u63f4\u306e\u306a\u3044\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3088\u308a\u77ed\u3044\u6642\u9593\u3067\u3001\u4ed5\u69d8\u306b\u57fa\u3065\u3044\u3066\u691c\u8a3c\u53ef\u80fd\u306a\u7d50\u679c\u306b\u5230\u9054\u3057\u307e\u3057\u305f\u3002\u6b21\u306e\u56f3\u306f\u3001IBO \u6383\u5f15\u3068\u76ee\u6a19 EVM \u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-671\" src=\"http:\/\/blogs.mathworks.com\/semiconductors\/files\/2026\/09\/AmplifierIBO.png\" alt=\"NR-FR1-TM1.1 10 MHz \u00e2\u20ac\u201d RMS EVM vs PA IBO. RMS EVM decreases with increasing IBO, crossing the 17.5% target near IBO = 0.64 dB.\" width=\"519\" height=\"372\" \/><\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:image {\"align\":\"center\"} --><!-- \/wp:image --><\/p>\n<p><!-- wp:heading --><\/p>\n<h2>\u307e\u3068\u3081<\/h2>\n<p><!-- \/wp:heading --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>\u5206\u91ce\u77e5\u8b58\u3001\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3001\u30d9\u30b9\u30c8\u30d7\u30e9\u30af\u30c6\u30a3\u30b9\u3001\u898f\u683c\u6e96\u62e0\u306e\u624b\u6cd5\u3092\u7d44\u307f\u8fbc\u3093\u3060 MathWorks \u306e\u30c4\u30fc\u30eb\u3068\u5c02\u9580\u5bb6\u304c\u6574\u5099\u3057\u305f\u30b9\u30ad\u30eb\u3092\u5229\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u6c4e\u7528 AI \u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3092\u7121\u7dda\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u306b\u9069\u3057\u305f\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30d1\u30fc\u30c8\u30ca\u30fc\u3068\u3057\u3066\u6d3b\u7528\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u30c4\u30fc\u30eb\u3068\u30b9\u30ad\u30eb\u306f\u3001\u7d4c\u9a13\u8c4a\u5bcc\u306a\u7121\u7dda\u901a\u4fe1\u30a8\u30f3\u30b8\u30cb\u30a2\u3068\u540c\u3058\u3084\u308a\u65b9\u3067\u554f\u984c\u3092\u89e3\u3051\u308b\u3088\u3046\u3001\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u652f\u63f4\u3057\u3001\u5c0e\u304d\u307e\u3059\u3002<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>\u672c\u7a3f\u3067\u793a\u3057\u305f\u4f8b\u3068 12 \u4ef6\u306e\u6ce2\u5f62\u751f\u6210\u30bf\u30b9\u30af\u306e\u8a55\u4fa1\u3067\u306f\u3001\u30bf\u30b9\u30af\u5b8c\u4e86\u6642\u9593\u306e\u77ed\u7e2e\u3001\u53cd\u5fa9\u56de\u6570\u3068\u30c8\u30fc\u30af\u30f3\u4f7f\u7528\u91cf\u306e\u524a\u6e1b\u3001\u30b3\u30fc\u30c9\u306e\u7c21\u6f54\u5316\u304c\u78ba\u8a8d\u3055\u308c\u307e\u3057\u305f\u3002MathWorks \u306e\u30c4\u30fc\u30eb\u3068\u30b9\u30ad\u30eb\u306b\u3088\u3063\u3066\u3001Agentic AI \u306f\u5358\u306a\u308b\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u652f\u63f4\u306b\u3068\u3069\u307e\u3089\u305a\u3001\u7121\u7dda\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u3092\u652f\u63f4\u3059\u308b\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30d1\u30fc\u30c8\u30ca\u30fc\u3068\u3057\u3066\u6d3b\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>\u7686\u3055\u3093\u306f\u7121\u7dda\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u306e\u4ed5\u4e8b\u3067 AI \u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3092\u3069\u306e\u3088\u3046\u306b\u6d3b\u7528\u3057\u3066\u3044\u307e\u3059\u304b\u3002\u7686\u3055\u3093\u306e\u7d4c\u9a13\u3001\u8ab2\u984c\u3001\u5b66\u3073\u3092\u305c\u3072\u304a\u805e\u304b\u305b\u304f\u3060\u3055\u3044\u3002\u4e0b\u306e\u30b3\u30e1\u30f3\u30c8\u6b04\u3067\u3001\u305c\u3072\u3054\u610f\u898b\u3092\u5171\u6709\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<pre class=\"not_code\">\u8a73\u3057\u304f\u306f <a href=\"https:\/\/www.mathworks.com\/products\/matlab\/agentic-ai.html\">MATLAB Agentic Toolkit<\/a> \u306e\u30da\u30fc\u30b8\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002<\/pre>\n<p><!-- \/wp:paragraph --><\/div>\n","protected":false},"excerpt":{"rendered":"<div class=\"overview-image\"><img decoding=\"async\"  class=\"img-responsive\" src=\"http:\/\/blogs.mathworks.com\/semiconductors\/files\/2026\/09\/AgenticAIIntro-1024x377.png\" onError=\"this.style.display ='none';\" \/><\/div>\n<p>\u203b\u3053\u306e\u6295\u7a3f\u306f 2026 \u5e74 9 \u6708 2 \u65e5\u306b  Semiconductor Design and Verification \u3078 \u6295\u7a3f\u3055\u308c\u305f\u3082\u306e\u306e\u6284\u8a33\u3067\u3059\u3002<br \/>\n&#8212;<br \/>\nAI \u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u3092\u3081\u3050\u308b\u71b1\u6c17\u306f\u3001\u3044\u304f\u3089\u5f37\u8abf\u3057\u3066\u3082\u3057\u3059\u304e\u308b\u3053\u3068\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u30a8\u30f3\u30b8\u30cb\u30a2\u306f GitHub Copilot\u3001Claude Code\u3001OpenAI Codex&#8230; <a class=\"read-more\" href=\"https:\/\/blogs.mathworks.com\/japan-community\/2026\/09\/17\/agentic-ai-for-5g-engineering-turning-ai-assistants-into-wireless-experts-jp\/\">read more >><\/a><\/p>\n","protected":false},"author":159,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[182,61,193],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/posts\/14791"}],"collection":[{"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/users\/159"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/comments?post=14791"}],"version-history":[{"count":7,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/posts\/14791\/revisions"}],"predecessor-version":[{"id":14798,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/posts\/14791\/revisions\/14798"}],"wp:attachment":[{"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/media?parent=14791"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/categories?post=14791"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/tags?post=14791"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}