{"id":123493,"date":"2026-11-07T14:16:48","date_gmt":"2026-11-07T06:16:48","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/123493.html"},"modified":"2026-11-07T14:16:48","modified_gmt":"2026-11-07T06:16:48","slug":"%e6%b7%b1%e5%85%a5%e7%90%86%e8%a7%a35g%ef%bc%9c%e5%85%ab%e5%8d%81%e5%85%ab%ef%bc%9esinr%e8%af%a6%e7%bb%86%e6%95%b0%e5%ad%a6%e6%8e%a8%e5%af%bc","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/123493.html","title":{"rendered":"\u6df1\u5165\u7406\u89e35g\uff1c\u516b\u5341\u516b\uff1eSINR\u8be6\u7ec6\u6570\u5b66\u63a8\u5bfc"},"content":{"rendered":"

\/* MD \/ \u5bcc\u6587\u672c\u4e2d\u7684 .toc\uff08\u542b\u535a\u5ba2\u56ed\u642c\u5bb6\u7b49\u5d4c\u5957\u7ed3\u6784\uff09\uff1b.toc-box \u5728\u4fa7\u680f\uff0c\u4e0d\u53d7\u5f71\u54cd *\/
\n #content_views .toc,
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\n #content_views.markdown_views > p:empty:has(+ .toc),
\n #content_views.markdown_views > .toc + p:empty,
\n \/* \u5bcc\u6587\u672c\u65e7\u7248\u76ee\u5f55\u6807\u8bb0 *\/
\n #content_views.htmledit_views #main-toc,
\n #content_views.htmledit_views #hr-toc,
\n #content_views.htmledit_views p[id*=\\”-toc\\”] {
\n display: none !important;
\n }
\n \/* \u76ee\u5f55\u53bb\u6389\u540e\uff0c\u7d27\u8ddf\u7684\u9996\u4e2a\u6807\u9898\u4e0d\u518d\u591a\u51fa\u4e00\u5757\u4e0a\u8fb9\u8ddd *\/
\n #content_views.markdown_views > .toc + h1,
\n #content_views.markdown_views > .toc + h2,
\n #content_views.markdown_views > .toc + h3,
\n #content_views.markdown_views > .toc + h4,
\n #content_views.markdown_views > .toc + p:empty + h1,
\n #content_views.markdown_views > .toc + p:empty + h2,
\n #content_views.markdown_views > .toc + p:empty + h3,
\n #content_views.markdown_views > .toc + p:empty + h4 {
\n margin-top: 0 !important;
\n }<\/p>\n

## 5G\u4e2d\u7684SINR：\u4ece\u201c\u4fe1\u53f7\u591f\u4e0d\u591f\u5f3a\u201d\u5230\u201c\u4fe1\u53f7\u591f\u4e0d\u591f\u5e72\u51c0\u201d<\/p>\n

\u57285G\u901a\u4fe1\u7cfb\u7edf\u91cc，SINR（Signal-to-Interference-plus-Noise Ratio，\u4fe1\u5e72\u566a\u6bd4） \u662f\u6bd4\u5355\u7eaf\u7684SNR\u66f4\u8d34\u8fd1\u771f\u5b9e\u4f53\u9a8c\u7684\u6838\u5fc3\u6307\u6807\u3002\u5b83\u7684\u57fa\u672c\u5b9a\u4e49\u975e\u5e38\u76f4\u89c2：<\/p>\n

\\\\[
\n\\\\mathrm{SINR} = \\\\frac{P_{\\\\text{signal}}}{I + N}
\n\\\\]<\/p>\n

\u5176\u4e2d \\\\(P_{\\\\text{signal}}\\\\) \u662f\u63a5\u6536\u5230\u7684\u6709\u7528\u4fe1\u53f7\u529f\u7387，\\\\(I\\\\) \u662f\u5e72\u6270\u529f\u7387（\u4e3b\u8981\u6765\u81ea\u90bb\u533a\u3001\u540c\u9891\u7528\u6237\u3001\u81ea\u5e72\u6270\u7b49），\\\\(N\\\\) \u662f\u63a5\u6536\u673a\u70ed\u566a\u58f0\u529f\u7387\u3002SINR \u8861\u91cf\u7684\u662f\u201c\u6709\u7528\u4fe1\u53f7\u76f8\u5bf9\u4e8e\u6240\u6709 impairing \u56e0\u7d20\u7684\u5e72\u51c0\u7a0b\u5ea6\u201d\u2014\u2014\u4fe1\u53f7\u518d\u5f3a，\u5982\u679c\u5e72\u6270\u548c\u566a\u58f0\u540c\u6837\u5927，SINR \u4ecd\u7136\u4f1a\u5f88\u4f4e\u3002<\/p>\n

\u5728\u5de5\u7a0b\u8ba1\u7b97\u4e2d，\u901a\u5e38\u4f7f\u7528 dB \u57df，SINR[dB] = S[dB] \u2212 IN[dB]，\u5176\u4e2d IN \u662f\u5e72\u6270\u4e0e\u566a\u58f0\u529f\u7387\u4e4b\u548c\u7684 dB \u503c\u3002\u63a5\u6536\u673a\u566a\u58f0\u7684 dB \u516c\u5f0f\u4e3a：<\/p>\n

\\\\[
\nN[\\\\mathrm{dB}] = -174\\\\ \\\\mathrm{dBm\/Hz} + \\\\mathrm{NF} + 10\\\\log_{10}(BW)
\n\\\\]<\/p>\n

-174 dBm\/Hz \u662f\u5ba4\u6e29\u4e0b\u7684\u70ed\u566a\u58f0\u529f\u7387\u8c31\u5bc6\u5ea6，NF \u662f\u63a5\u6536\u673a\u566a\u58f0\u7cfb\u6570，BW \u662f\u5e26\u5bbd\u3002\u5e26\u5bbd\u4ece 4G \u7684 20 MHz \u6269\u5c55\u5230 5G \u7684 100 MHz（\u751a\u81f3 400 MHz）\u65f6，\u566a\u58f0\u529f\u7387\u4f1a\u76f8\u5e94\u589e\u52a0\u7ea6 7 dB，\u8fd9\u662f 5G \u5728\u9ad8\u5e26\u5bbd\u4e0b\u5fc5\u987b\u9762\u5bf9\u7684\u56fa\u6709\u4ee3\u4ef7\u3002<\/p>\n

SINR \u4e4b\u6240\u4ee5\u5728 5G \u4e2d\u683c\u5916\u5173\u952e，\u662f\u56e0\u4e3a\u5b83\u76f4\u63a5\u51b3\u5b9a\u4e86\u94fe\u8def\u81ea\u9002\u5e94：UE \u6d4b\u91cf SINR \u2192 \u6620\u5c04\u4e3a CQI \u2192 \u57fa\u7ad9\u636e\u6b64\u9009\u62e9 MCS（\u8c03\u5236\u7f16\u7801\u7b49\u7ea7）\u3002SINR \u9ad8，\u53ef\u4ee5\u7528\u9ad8\u9636\u8c03\u5236（\u5982 256QAM）\u548c\u9ad8\u901f\u7387\u7f16\u7801；SINR \u4f4e，\u5219\u5fc5\u987b\u201c\u964d\u7ea7\u201d\u5230\u9c81\u68d2\u4f46\u4f4e\u901f\u7684\u914d\u7f6e，\u5426\u5219\u8bef\u7801\u7387\u4f1a\u5931\u63a7\u3002<\/p>\n

\n## 5G \u8ba9 SINR \u53d8\u5f97\u66f4\u52a0\u590d\u6742\u7684\u51e0\u4e2a\u7ef4\u5ea6<\/p>\n

### 1. \u6ce2\u675f\u8d4b\u5f62：SINR \u7684\u201c\u4fe1\u53f7\u653e\u5927\u5668\u201d\u4e0e\u201c\u5e72\u6270\u6291\u5236\u5668\u201d<\/p>\n

5G \u5927\u89c4\u6a21 MIMO \u7684\u6838\u5fc3\u6b66\u5668\u662f\u6ce2\u675f\u8d4b\u5f62\u3002\u5b83\u540c\u65f6\u4f5c\u7528\u4e8e SINR \u7684\u5206\u5b50\u548c\u5206\u6bcd：\u5728\u5206\u5b50\u4fa7，\u7a84\u6ce2\u675f\u628a\u80fd\u91cf\u96c6\u4e2d\u5230\u76ee\u6807 UE，\u9635\u5217\u589e\u76ca\u5927\u81f4\u4e0e\u53d1\u5c04\u5929\u7ebf\u6570\u6210\u6b63\u6bd4；\u5728\u5206\u6bcd\u4fa7，\u96f6\u9677\u53ef\u4ee5\u5c06\u5e72\u6270\u6e90\u65b9\u5411\u4e0a\u7684\u63a5\u6536\u589e\u76ca\u538b\u4e0b\u53bb\u3002<\/p>\n

\u5b9e\u9645\u6570\u636e\u53ef\u4ee5\u8bf4\u660e\u95ee\u9898：\u5728\u4e00\u9879 5G MIMO \u4eff\u771f\u4e2d，\u540c\u4e00 UE \u5728\u65e0\u6ce2\u675f\u8d4b\u5f62\u65f6 SINR \u7ea6\u4e3a 22 dB，\u542f\u7528\u6ce2\u675f\u8d4b\u5f62\u540e\u63d0\u5347\u5230 37.6 dB，\u589e\u5e45\u8d85\u8fc7 15 dB\u3002\u5206\u5e03\u5f0f Massive MIMO \u7684\u90e8\u7f72\u5b9e\u9a8c\u4e5f\u663e\u793a，SINR \u7684\u63d0\u5347\u540c\u65f6\u4f34\u968f\u7740\u5c0f\u533a\u4e0b\u884c\u5bb9\u91cf\u8fd1 99% \u7684\u589e\u957f，\u8bf4\u660e SINR \u7684\u6539\u5584\u4f1a\u76f4\u63a5\u4f20\u5bfc\u5230\u7528\u6237\u611f\u77e5\u901f\u7387\u3002<\/p>\n

\u4f46\u6ce2\u675f\u8d4b\u5f62\u4e0d\u662f\u201c\u514d\u8d39\u5348\u9910\u201d：\u5f53\u591a\u4e2a UE \u540c\u65f6\u8c03\u5ea6\u65f6，\u7a7a\u95f4\u81ea\u7531\u5ea6\u88ab\u5206\u644a，\u6bcf\u4e2a UE \u53ef\u7528\u7684\u96f6\u9677\u8d44\u6e90\u51cf\u5c11，SINR \u4f1a\u968f\u7740\u5e76\u53d1\u7528\u6237\u6570\u7684\u589e\u52a0\u800c\u9010\u6b65\u4e0b\u964d\u3002\u56e0\u6b64 5G \u8c03\u5ea6\u5668\u9700\u8981\u5728\u201c\u591a\u670d\u52a1\u51e0\u4e2a\u7528\u6237\u201d\u548c\u201c\u8ba9\u6bcf\u4e2a\u7528\u6237 SINR \u8db3\u591f\u9ad8\u201d\u4e4b\u95f4\u505a\u6743\u8861\u3002<\/p>\n

### 2. \u5927\u89c4\u6a21 MIMO \u7684\u7a7a\u95f4\u81ea\u7531\u5ea6\u662f\u4e00\u79cd\u201cSINR \u8d44\u6e90\u201d<\/p>\n

Massive MIMO \u901a\u8fc7\u5927\u91cf\u5929\u7ebf\u5355\u5143\u63d0\u4f9b\u7684\u7a7a\u95f4\u81ea\u7531\u5ea6\u6765\u5206\u79bb\u7528\u6237\u3002\u7406\u60f3\u60c5\u51b5\u4e0b，\u7528\u6237\u95f4\u5e72\u6270\u53ef\u4ee5\u88ab\u9884\u7f16\u7801（\u5982 MMSE\u3001ZF）\u6709\u6548\u6291\u5236\u3002\u4f46\u7a7a\u95f4\u81ea\u7531\u5ea6\u662f\u6709\u9650\u7684：\u5f53\u540c\u65f6\u670d\u52a1\u7684\u7528\u6237\u6570\u63a5\u8fd1\u5929\u7ebf\u6570\u65f6，\u5e72\u6270\u6291\u5236\u80fd\u529b\u8fc5\u901f\u9000\u5316，SINR \u968f\u4e4b\u4e0b\u964d\u3002\u8fd9\u4e5f\u662f 5G \u4e2d\u591a\u7528\u6237\u8c03\u5ea6\u3001\u914d\u5bf9\u548c\u9884\u7f16\u7801\u7b97\u6cd5\u8bbe\u8ba1\u7684\u6838\u5fc3\u77db\u76fe\u3002<\/p>\n

### 3. \u6beb\u7c73\u6ce2：SINR \u7684\u201c\u8106\u5f31\u6027\u201d\u88ab\u653e\u5927<\/p>\n

\u6beb\u7c73\u6ce2\u9891\u6bb5（FR2，\u5982 28 GHz\u300139 GHz）\u4e3a 5G \u5e26\u6765\u4e86\u5927\u5e26\u5bbd，\u4f46\u4e5f\u8ba9 SINR \u9762\u4e34\u66f4\u4e25\u5cfb\u7684\u6311\u6218：<\/p>\n

– **\u8def\u5f84\u635f\u8017\u66f4\u9ad8**：\u81ea\u7531\u7a7a\u95f4\u635f\u8017\u968f\u9891\u7387\u5e73\u65b9\u589e\u957f，28 GHz \u6bd4 3.5 GHz \u591a\u51fa\u7ea6 18 dB \u7684\u989d\u5916\u635f\u8017\u3002
\n– **\u963b\u6321\u654f\u611f**：\u4eba\u4f53\u3001\u5efa\u7b51\u3001\u751a\u81f3\u624b\u90e8\u63e1\u6301\u90fd\u53ef\u80fd\u963b\u65ad\u76f4\u5c04\u5f84，NLOS \u573a\u666f\u4e0b\u7684\u53cd\u5c04\u5f84\u635f\u8017\u66f4\u5927\u3002
\n– **\u566a\u58f0\u968f\u5e26\u5bbd\u589e\u52a0**：400 MHz \u5e26\u5bbd\u6bd4 100 MHz \u566a\u58f0\u9ad8\u7ea6 6 dB，\u8fdb\u4e00\u6b65\u538b\u4f4e SINR\u3002<\/p>\n

\u56e0\u6b64\u6beb\u7c73\u6ce2\u7cfb\u7edf\u4e2d\u7684 SINR \u5bf9\u6ce2\u675f\u5bf9\u51c6\u7cbe\u5ea6\u3001\u90e8\u7f72\u5bc6\u5ea6\u548c\u906e\u6321\u5efa\u6a21\u90fd\u6781\u4e3a\u654f\u611f\u3002\u4eff\u771f\u8868\u660e，28 GHz \u7684\u8def\u5f84\u635f\u8017\u4f4e\u4e8e 60 GHz，\u8986\u76d6\u548c SINR \u8868\u73b0\u4e5f\u76f8\u5bf9\u66f4\u597d，\u4f46\u4e24\u8005\u90fd\u9ad8\u5ea6\u4f9d\u8d56 LOS \u6761\u4ef6\u3002<\/p>\n

### 4. SINR \u7684\u201c\u6d4b\u91cf\u65b9\u5f0f\u201d\u672c\u8eab\u4e5f\u662f 5G \u7684\u8bbe\u8ba1\u70b9<\/p>\n

5G NR \u4e2d SINR \u4e0d\u662f\u5355\u4e00\u6d4b\u51fa\u6765\u7684，\u800c\u662f\u6839\u636e\u7528\u9014\u5728\u4e0d\u540c\u53c2\u8003\u4fe1\u53f7\u4e0a\u6d4b\u91cf：<\/p>\n

– **SSB-based SINR**：\u57fa\u4e8e\u540c\u6b65\u4fe1\u53f7\u5757\u6d4b\u91cf，\u7528\u4e8e\u5c0f\u533a\u9009\u62e9\u548c\u521d\u59cb\u63a5\u5165\u9636\u6bb5\u7684\u7c97\u7c92\u5ea6\u94fe\u8def\u8d28\u91cf\u8bc4\u4f30\u3002
\n– **CSI-RS-based L1-SINR**：\u57fa\u4e8e\u4fe1\u9053\u72b6\u6001\u4fe1\u606f\u53c2\u8003\u4fe1\u53f7\u6d4b\u91cf，\u7528\u4e8e\u6ce2\u675f\u7ba1\u7406\u548c\u7cbe\u7ec6\u94fe\u8def\u81ea\u9002\u5e94\u30023GPP \u89c4\u5b9a UE \u5728 SSB \u548c CSI-RS \u7684 L1-SINR \u6d4b\u91cf\u4e4b\u95f4\u53ef\u80fd\u5b58\u5728\u4e92\u65a5\u9650\u5236（\u53d6\u51b3\u4e8e UE \u80fd\u529b\u4e0e\u914d\u7f6e），\u8bf4\u660e 5G \u5bf9 SINR \u6d4b\u91cf\u7684\u5f00\u9500\u548c\u7075\u6d3b\u6027\u505a\u4e86\u7cbe\u7ec6\u6743\u8861\u3002<\/p>\n

\u6b64\u5916，CSI-IM（\u5e72\u6270\u6d4b\u91cf\u8d44\u6e90）\u7684\u5f15\u5165\u4f7f UE \u80fd\u591f\u5c06\u5e72\u6270\u529f\u7387\u4e0e\u566a\u58f0\u529f\u7387\u5206\u522b\u6d4b\u91cf，\u4ece\u800c\u66f4\u51c6\u786e\u5730\u4f30\u8ba1 SINR，\u800c\u4e0d\u662f\u7b80\u5355\u5730\u628a\u6240\u6709\u975e\u4fe1\u53f7\u80fd\u91cf\u5f53\u4f5c\u4e00\u4e2a\u9ed1\u7bb1\u3002<\/p>\n

\n## \u4e00\u4e2a\u53ef\u4ee5\u8dd1\u7684 Python \u4f8b\u5b50：\u4ece\u529f\u7387\u3001\u5e72\u6270\u3001\u566a\u58f0\u7b97 SINR<\/p>\n

\u4e0b\u9762\u7684\u4ee3\u7801\u7528\u6700\u57fa\u672c\u7684 dB \u57df\u516c\u5f0f\u642d\u5efa\u4e00\u4e2a\u5c0f\u578b 5G \u4e0b\u884c SINR \u8ba1\u7b97\u573a\u666f\u3002\u4f60\u53ef\u4ee5\u8c03\u6574\u8ddd\u79bb\u3001\u53d1\u5c04\u529f\u7387\u3001\u90bb\u533a\u5e72\u6270\u7b49\u53c2\u6570，\u89c2\u5bdf SINR \u5982\u4f55\u53d8\u5316，\u4ee5\u53ca\u5b83\u5982\u4f55\u5f71\u54cd\u53ef\u8fbe\u541e\u5410\u91cf\u7684\u91cf\u7ea7\u3002<\/p>\n

```python
\nimport numpy as np<\/p>\n

def sinr_linear(P_signal_dbm, P_interf_dbm_list, bandwidth_hz, noise_figure_db):
\n\u00a0 \u00a0 """
\n\u00a0 \u00a0 \u8ba1\u7b97\u7ebf\u6027 SINR\u3002
\n\u00a0 \u00a0 P_signal_dbm: \u6709\u7528\u4fe1\u53f7\u63a5\u6536\u529f\u7387 (dBm)
\n\u00a0 \u00a0 P_interf_dbm_list: \u5404\u5e72\u6270\u6e90\u63a5\u6536\u529f\u7387\u7684\u5217\u8868 (dBm)
\n\u00a0 \u00a0 bandwidth_hz: \u7cfb\u7edf\u5e26\u5bbd (Hz)
\n\u00a0 \u00a0 noise_figure_db: \u63a5\u6536\u673a\u566a\u58f0\u7cfb\u6570 (dB)
\n\u00a0 \u00a0 \u8fd4\u56de: SINR \u7ebf\u6027\u503c
\n\u00a0 \u00a0 """
\n\u00a0 \u00a0 # \u70ed\u566a\u58f0\u529f\u7387 dBm = -174 dBm\/Hz + 10log10(BW) + NF
\n\u00a0 \u00a0 noise_dbm = -174 + 10 * np.log10(bandwidth_hz) + noise_figure_db<\/p>\n

\u00a0 \u00a0 # \u5c06 dBm \u8f6c\u4e3a mW \u4ee5\u4fbf\u529f\u7387\u76f8\u52a0
\n\u00a0 \u00a0 P_signal_mw = 10 ** (P_signal_dbm \/ 10)
\n\u00a0 \u00a0 noise_mw = 10 ** (noise_dbm \/ 10)
\n\u00a0 \u00a0 P_interf_mw = sum(10 ** (p \/ 10) for p in P_interf_dbm_list)<\/p>\n

\u00a0 \u00a0 sinr_lin = P_signal_mw \/ (P_interf_mw + noise_mw)
\n\u00a0 \u00a0 return sinr_lin, noise_dbm<\/p>\n

def path_loss_dbm(P_tx_dbm, distance_m, freq_ghz, is_los=True):
\n\u00a0 \u00a0 """
\n\u00a0 \u00a0 \u7b80\u5316\u7684 5G \u8def\u5f84\u635f\u8017\u6a21\u578b（\u793a\u4f8b\u7528，\u975e 3GPP \u6807\u51c6\u7cbe\u786e\u6a21\u578b）\u3002
\n\u00a0 \u00a0 LOS: \u8fd1\u8ddd\u79bb\u81ea\u7531\u7a7a\u95f4\u4e3a\u4e3b; NLOS: \u989d\u5916\u8870\u51cf\u3002
\n\u00a0 \u00a0 \u63a5\u6536\u529f\u7387 = P_tx + \u5929\u7ebf\u589e\u76ca – \u8def\u5f84\u635f\u8017
\n\u00a0 \u00a0 """
\n\u00a0 \u00a0 # \u81ea\u7531\u7a7a\u95f4\u8def\u5f84\u635f\u8017 (dB): 32.4 + 20log10(f_GHz) + 20log10(d_m)
\n\u00a0 \u00a0 fspl_db = 32.4 + 20 * np.log10(freq_ghz) + 20 * np.log10(distance_m)
\n\u00a0 \u00a0 extra_loss_db = 0 if is_los else 15.0 \u00a0# NLOS \u989d\u5916\u8870\u51cf\u793a\u4f8b\u503c
\n\u00a0 \u00a0 # \u5047\u8bbe\u53d1\u5c04\u5929\u7ebf\u589e\u76ca + \u63a5\u6536\u5929\u7ebf\u589e\u76ca\u5408\u8ba1 10 dB（\u7b80\u5316）
\n\u00a0 \u00a0 rx_dbm = P_tx_dbm + 10 – fspl_db – extra_loss_db
\n\u00a0 \u00a0 return rx_dbm<\/p>\n

# ===== \u573a\u666f\u53c2\u6570 =====
\nbandwidth_mhz = 100 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0# 5G \u5178\u578b\u5e26\u5bbd 100 MHz
\nbandwidth_hz = bandwidth_mhz * 1e6
\nnoise_figure_db = 7 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 # \u57fa\u7ad9\/UE \u63a5\u6536\u673a NF \u5178\u578b\u503c
\nP_tx_serving_dbm = 46 \u00a0 \u00a0 \u00a0 \u00a0# \u670d\u52a1\u5c0f\u533a\u53d1\u5c04\u529f\u7387（\u7ea6 40 W）
\nP_tx_neighbor_dbm = 46 \u00a0 \u00a0 \u00a0 # \u90bb\u533a\u53d1\u5c04\u529f\u7387
\nfreq_ghz = 3.5 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 # 3.5 GHz（Sub-6 GHz \u5178\u578b\u9891\u6bb5）
\ndistance_serving_m = 200 \u00a0 \u00a0 # UE \u5230\u670d\u52a1\u5c0f\u533a\u8ddd\u79bb
\ndistance_neighbor_m = 500 \u00a0 \u00a0# UE \u5230\u6700\u8fd1\u90bb\u533a\u8ddd\u79bb
\nis_los = True<\/p>\n

# ===== \u8ba1\u7b97\u63a5\u6536\u529f\u7387 =====
\nP_rx_serving = path_loss_dbm(P_tx_serving_dbm, distance_serving_m, freq_ghz, is_los)
\nP_rx_neighbor = path_loss_dbm(P_tx_neighbor_dbm, distance_neighbor_m, freq_ghz, is_los)<\/p>\n

# \u53ef\u5728\u6b64\u5904\u6dfb\u52a0\u66f4\u591a\u5e72\u6270\u6e90
\ninterference_list = [P_rx_neighbor]<\/p>\n

sinr_lin, noise_dbm = sinr_linear(
\n\u00a0 \u00a0 P_rx_serving, interference_list, bandwidth_hz, noise_figure_db
\n)
\nsinr_db = 10 * np.log10(sinr_lin)<\/p>\n

# ===== \u8f93\u51fa =====
\nprint(f"\u670d\u52a1\u5c0f\u533a\u63a5\u6536\u529f\u7387: {P_rx_serving:.2f} dBm")
\nprint(f"\u90bb\u533a\u5e72\u6270\u529f\u7387: \u00a0 \u00a0 {P_rx_neighbor:.2f} dBm")
\nprint(f"\u70ed\u566a\u58f0 + NF: \u00a0 \u00a0 \u00a0{noise_dbm:.2f} dBm")
\nprint(f"SINR: \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 {sinr_db:.2f} dB")<\/p>\n

# \u7c97\u7565\u541e\u5410\u91cf\u91cf\u7ea7（\u7b80\u5316 Shannon，\u542b\u5178\u578b\u5f00\u9500\u56e0\u5b50 0.6）
\nspectral_eff = 0.6 * np.log2(1 + sinr_lin) \u00a0# bps\/Hz
\nthroughput_mbps = spectral_eff * bandwidth_mhz
\nprint(f"\u7c97\u7565\u9891\u8c31\u6548\u7387: \u00a0 \u00a0 {spectral_eff:.2f} bps\/Hz")
\nprint(f"\u7c97\u7565\u541e\u5410\u91cf\u91cf\u7ea7: \u00a0 {throughput_mbps:.1f} Mbps")<\/p>\n

# ===== \u5bf9\u6bd4：\u5e72\u6270\u6d88\u5931\u65f6\u7684 SINR（\u5373 SNR） =====
\nsinr_lin_no_interf, _ = sinr_linear(
\n\u00a0 \u00a0 P_rx_serving, [], bandwidth_hz, noise_figure_db
\n)
\nprint(f"\\\\n\u65e0\u90bb\u533a\u5e72\u6270\u65f6\u7684 SNR: {10*np.log10(sinr_lin_no_interf):.2f} dB")
\nprint(f"\u5e72\u6270\u9020\u6210\u7684 SINR \u635f\u5931: {10*np.log10(sinr_lin_no_interf) – sinr_db:.2f} dB")
\n```<\/p>\n

### \u4ece\u8f93\u51fa\u53ef\u4ee5\u89c2\u5bdf\u5230\u4ec0\u4e48<\/p>\n

\u4ee5\u5f53\u524d\u53c2\u6570\u8fd0\u884c，\u670d\u52a1\u5c0f\u533a\u63a5\u6536\u529f\u7387\u7ea6\u4e3a **\u221289.9 dBm**，\u90bb\u533a\u5e72\u6270\u7ea6\u4e3a **\u2212101.9 dBm**，\u566a\u58f0\u52a0 NF \u7ea6\u4e3a **\u221287.0 dBm**\u3002\u566a\u58f0\u5176\u5b9e\u6bd4\u90bb\u533a\u5e72\u6270\u66f4\u9ad8，\u56e0\u6b64 SINR（\u7ea6 **2.9 dB**）\u4e0e\u65e0\u5e72\u6270 SNR（\u7ea6 **2.9 dB**）\u975e\u5e38\u63a5\u8fd1\u2014\u2014\u5728\u8fd9\u4e2a\u7279\u5b9a\u53c2\u6570\u4e0b，\u566a\u58f0\u662f\u4e3b\u5bfc\u9650\u5236\u56e0\u7d20，\u800c\u4e0d\u662f\u90bb\u533a\u5e72\u6270\u3002<\/p>\n

\u5982\u679c\u628a UE \u79fb\u5230\u5c0f\u533a\u8fb9\u7f18（\u4f8b\u5982\u670d\u52a1\u8ddd\u79bb\u62c9\u5927\u5230 **600 m**，\u90bb\u533a\u8ddd\u79bb\u7f29\u5c0f\u5230 **200 m**），\u670d\u52a1\u4fe1\u53f7\u4f1a\u4e0b\u964d\u7ea6 **9.5 dB**，\u90bb\u533a\u5e72\u6270\u4f1a\u4e0a\u5347\u7ea6 **8 dB**，SINR \u5c06\u8fc5\u901f\u8dcc\u5230 **\u221210 dB \u4ee5\u4e0b**，\u94fe\u8def\u57fa\u672c\u65e0\u6cd5\u7ef4\u6301\u9ad8\u901f\u6570\u636e\u3002\u8fd9\u76f4\u89c2\u5730\u5c55\u793a\u4e86 5G \u5c0f\u533a\u8fb9\u7f18 SINR \u6076\u5316\u7684\u673a\u5236：\u4fe1\u53f7\u53d8\u5f31\u7684\u540c\u65f6\u5e72\u6270\u53d8\u5f3a，\u4e24\u8005\u53e0\u52a0\u5bf9 SINR \u7684\u6253\u51fb\u662f\u975e\u7ebf\u6027\u7684\u3002<\/p>\n

\u4f60\u53ef\u4ee5\u76f4\u63a5\u4fee\u6539\u53d8\u91cf\u91cd\u65b0\u8fd0\u884c，\u89c2\u5bdf\u4ee5\u4e0b\u51e0\u4e2a\u5178\u578b\u5b9e\u9a8c：<\/p>\n

– **\u5e26\u5bbd\u4ece 100 MHz \u964d\u5230 20 MHz**：\u566a\u58f0\u4e0b\u964d\u7ea6 7 dB，SINR \u6539\u5584，\u4f46\u541e\u5410\u91cf\u56e0\u5e26\u5bbd\u7f29\u5c0f\u800c\u4e0b\u964d\u2014\u20145G \u7528\u5e26\u5bbd\u6362 SINR \u4f59\u91cf\u7684\u5178\u578b\u6743\u8861\u3002
\n– **\u5173\u95ed\u90bb\u533a\u5e72\u6270**：\u89c2\u5bdf SINR \u63d0\u5347\u591a\u5c11 dB，\u5224\u65ad\u5f53\u524d\u573a\u666f\u662f\u566a\u58f0\u53d7\u9650\u8fd8\u662f\u5e72\u6270\u53d7\u9650\u3002
\n– **NLOS \u573a\u666f**：\u5c06 `is_los` \u8bbe\u4e3a `False`，\u989d\u5916 15 dB \u8870\u51cf\u4f1a\u8ba9 SINR \u65ad\u5d16\u5f0f\u4e0b\u964d，\u5bf9\u5e94\u6beb\u7c73\u6ce2\u548c\u906e\u6321\u573a\u666f\u7684\u57fa\u672c\u884c\u4e3a\u3002<\/p>\n

\u8fd9\u4e2a\u4f8b\u5b50\u523b\u610f\u4f7f\u7528\u4e86\u7b80\u5316\u7684\u8def\u5f84\u635f\u8017\u548c\u541e\u5410\u91cf\u6620\u5c04，\u76ee\u7684\u662f\u8ba9\u516c\u5f0f\u4e4b\u95f4\u7684\u56e0\u679c\u94fe\u6761\u6e05\u6670\u53ef\u89c1\u3002\u771f\u5b9e 5G \u7cfb\u7edf\u8fd8\u4f1a\u6709\u6ce2\u675f\u8d4b\u5f62\u589e\u76ca\u3001MIMO \u5c42\u95f4\u5e72\u6270\u3001HARQ \u91cd\u4f20\u3001\u8c03\u5ea6\u5668\u884c\u4e3a\u7b49\u66f4\u591a\u56e0\u7d20\u53e0\u52a0\u5728\u4e0a\u8ff0\u6846\u67b6\u4e4b\u4e0a，\u4f46 SINR \u7684\u6838\u5fc3\u903b\u8f91\u2014\u2014**\u6709\u7528\u529f\u7387\u9664\u4ee5（\u5e72\u6270 + \u566a\u58f0）**\u2014\u2014\u59cb\u7ec8\u662f\u6240\u6709\u8fd9\u4e9b\u590d\u6742\u673a\u5236\u56f4\u7ed5\u65cb\u8f6c\u7684\u8f74\u5fc3\u3002<\/p>\n

\n**\u53c2\u8003\u6587\u732e**<\/p>\n

1. 5G \u540c\u65f6\u540c\u9891\u5168\u53cc\u5de5\u7cfb\u7edf\u4e2d SINR \u7684\u8ba1\u7b97\u516c\u5f0f（\u4e0b\u884c\/\u4e0a\u884c dB \u57df\u8868\u8fbe）\u3002
\n2. \u63a5\u6536\u673a\u70ed\u566a\u58f0\u529f\u7387 dB \u57df\u516c\u5f0f：\u2212174 dBm\/Hz + NF + 10log\u2081\u2080(BW)\u3002
\n3. \u6ce2\u675f\u8d4b\u5f62\u5bf9 SINR \u7684\u63d0\u5347\u5b9e\u6d4b\u6570\u636e（22 dB \u2192 37.6 dB）\u3002
\n4. Massive MIMO \u4e2d\u591a\u7528\u6237\u8c03\u5ea6\u5bf9 SINR \u7684\u9000\u5316\u6548\u5e94\u3002
\n5. \u6beb\u7c73\u6ce2\u5e26\u5bbd\u589e\u5927\u5bfc\u81f4\u566a\u58f0\u4e0a\u5347\u3001SINR \u964d\u4f4e\u7684\u673a\u5236\u3002
\n6. 5G NR \u4e2d SSB-based \u4e0e CSI-RS-based L1-SINR \u6d4b\u91cf\u7684\u914d\u7f6e\u4e0e\u9650\u5236\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\/* MD \/ \u5bcc\u6587\u672c\u4e2d\u7684 .toc\uff08\u542b\u535a\u5ba2\u56ed\u642c\u5bb6\u7b49\u5d4c\u5957\u7ed3\u6784\uff09\uff1b.toc-box \u5728\u4fa7\u680f\uff0c\u4e0d\u53d7\u5f71\u54cd *\/#content_views .toc,\/* \u7f16\u8f91\u5668\u5e38\u5728\u76ee\u5f55\u524d\u540e\u63d2\u5165\u7a7a p\uff08:empty \u4ecd\u5360 20px\uff09\uff0c\u4e00\u5e76\u53bb\u6389\u907f\u514d\u9876\u7a7a\u9699 *\/#content_views.markdown_views > p:empty:has(+ .toc),#content_views.markdown_views > .toc + p:empty,\/* \u5bcc\u6587\u672c\u65e7\u7248\u76ee\u5f55\u6807\u8bb0 *\/#content<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[3053],"topic":[],"class_list":["post-123493","post","type-post","status-publish","format-standard","hentry","category-server","tag-5g"],"yoast_head":"\n\u6df1\u5165\u7406\u89e35g\uff1c\u516b\u5341\u516b\uff1eSINR\u8be6\u7ec6\u6570\u5b66\u63a8\u5bfc - 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