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@@ -6,11 +6,11 @@ snr_db = (-5:30)';
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snr = (10.^(snr_db./10));
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## this model is from:
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## G. Piro, N. Baldo. M. Miozzo, "An LTE module for the ns-3 network simulator",
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## WNS3 2011 (in conjunction with SimuTOOLS 2011)
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## which cites this one:
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## "A Proportional-Fair Power Allocation Scheme for Fair and Efficient Multiuser OFDM Systems"
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%% this model is from:
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%% G. Piro, N. Baldo. M. Miozzo, "An LTE module for the ns-3 network simulator",
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%% WNS3 2011 (in conjunction with SimuTOOLS 2011)
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%% which cites this one:
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%% "A Proportional-Fair Power Allocation Scheme for Fair and Efficient Multiuser OFDM Systems"
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ber = 0.00005;
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@@ -19,76 +19,76 @@ spectral_efficiency_piro2011 = log2(1 + snr./gamma);
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# ## this eventually would be an alternative model from:
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# ## Preben Mogensen et al., "LTE Capacity compared to the Shannon Bound"
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# ## IEEE VTC Spring 2007
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#
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# snr_eff = 1.25;
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# bw_eff_times_eta = 0.75;
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# spectral_efficiency_mogensen2007= bw_eff_times_eta .* log2(1 + snr./snr_eff);
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#
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# plot (snr_db, spectral_efficiency_piro2011, ";piro 2011;",
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# snr_db, spectral_efficiency_mogensen2007, ";morgensen2007;");
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% %% this eventually would be an alternative model from:
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% %% Preben Mogensen et al., "LTE Capacity compared to the Shannon Bound"
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% %% IEEE VTC Spring 2007
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%
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% snr_eff = 1.25;
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% bw_eff_times_eta = 0.75;
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% spectral_efficiency_mogensen2007= bw_eff_times_eta .* log2(1 + snr./snr_eff);
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%
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% plot (snr_db, spectral_efficiency_piro2011, ";piro 2011;",
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% snr_db, spectral_efficiency_mogensen2007, ";morgensen2007;");
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[snr_db spectral_efficiency_piro2011]
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##
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## now that we got the spectral efficiency for each value of SNR in dB
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## you should do the following:
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## we look up (manually) into the XLS sheet annexed to 3GPP R1-081483 "Conveying MCS
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## and TB size via PDCCH". Look at the tab "MCS Table", quantize the
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## spectral efficiency based on the CQI (rounding to the lowest value), and get the corresponding MCS
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## scheme (i.e., the MCS index that appears on the same line looking at
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## the MCS table on the right). Note that the quantization of the CQI is
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## coarser than the spectral efficiency reported in the CQI table.
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## Finally, note that there are some discrepancies between the MCS index
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## in R1-081483 and that indicated by the standard: TS 36.213 Table
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## 7.1.7.1-1 says that the MCS index goes from 0 to 31, and 0 appears to
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## be a valid MCS scheme (TB size is not 0) but in R1-081483 the first useful MCS index is 1.
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## Hence to get the value as intended by the standard we need to
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## subtract 1 from the index reported in R1-081483.
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%%
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%% now that we got the spectral efficiency for each value of SNR in dB
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%% you should do the following:
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%% we look up (manually) into the XLS sheet annexed to 3GPP R1-081483 "Conveying MCS
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%% and TB size via PDCCH". Look at the tab "MCS Table", quantize the
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%% spectral efficiency based on the CQI (rounding to the lowest value), and get the corresponding MCS
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%% scheme (i.e., the MCS index that appears on the same line looking at
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%% the MCS table on the right). Note that the quantization of the CQI is
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%% coarser than the spectral efficiency reported in the CQI table.
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%% Finally, note that there are some discrepancies between the MCS index
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%% in R1-081483 and that indicated by the standard: TS 36.213 Table
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%% 7.1.7.1-1 says that the MCS index goes from 0 to 31, and 0 appears to
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%% be a valid MCS scheme (TB size is not 0) but in R1-081483 the first useful MCS index is 1.
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%% Hence to get the value as intended by the standard we need to
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%% subtract 1 from the index reported in R1-081483.
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## the resulting values after the manual lookup are reported here:
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%% the resulting values after the manual lookup are reported here:
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## SNR (dB) sp. eff MCS index
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%% SNR (dB) sp. eff MCS index
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## -5.00000 0.08024 -1
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## -4.00000 0.10030 -1
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## -3.00000 0.12518 -1
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## -2.00000 0.15589 0
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## -1.00000 0.19365 0
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## 0.00000 0.23983 2
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## 1.00000 0.29593 2
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## 2.00000 0.36360 2
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## 3.00000 0.44451 4
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## 4.00000 0.54031 4
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## 5.00000 0.65251 6
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## 6.00000 0.78240 6
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## 7.00000 0.93086 8
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## 8.00000 1.09835 8
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## 9.00000 1.28485 10
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## 10.00000 1.48981 12
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## 11.00000 1.71229 12
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## 12.00000 1.95096 14
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## 13.00000 2.20429 14
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## 14.00000 2.47062 16
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## 15.00000 2.74826 18
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## 16.00000 3.03560 18
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## 17.00000 3.33115 20
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## 18.00000 3.63355 20
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## 19.00000 3.94163 22
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## 20.00000 4.25439 22
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## 21.00000 4.57095 24
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## 22.00000 4.89060 24
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## 23.00000 5.21276 26
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## 24.00000 5.53693 26
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## 25.00000 5.86271 28
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## 26.00000 6.18980 28
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## 27.00000 6.51792 28
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## 28.00000 6.84687 28
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## 29.00000 7.17649 28
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## 30.00000 7.50663 28
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%% -5.00000 0.08024 -1
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%% -4.00000 0.10030 -1
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%% -3.00000 0.12518 -1
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%% -2.00000 0.15589 0
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%% -1.00000 0.19365 0
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%% 0.00000 0.23983 2
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%% 1.00000 0.29593 2
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%% 2.00000 0.36360 2
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%% 3.00000 0.44451 4
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%% 4.00000 0.54031 4
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%% 5.00000 0.65251 6
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%% 6.00000 0.78240 6
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%% 7.00000 0.93086 8
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%% 8.00000 1.09835 8
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%% 9.00000 1.28485 10
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%% 10.00000 1.48981 12
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%% 11.00000 1.71229 12
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%% 12.00000 1.95096 14
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%% 13.00000 2.20429 14
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%% 14.00000 2.47062 16
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%% 15.00000 2.74826 18
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%% 16.00000 3.03560 18
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%% 17.00000 3.33115 20
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%% 18.00000 3.63355 20
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%% 19.00000 3.94163 22
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%% 20.00000 4.25439 22
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%% 21.00000 4.57095 24
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%% 22.00000 4.89060 24
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%% 23.00000 5.21276 26
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%% 24.00000 5.53693 26
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%% 25.00000 5.86271 28
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%% 26.00000 6.18980 28
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%% 27.00000 6.51792 28
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%% 28.00000 6.84687 28
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%% 29.00000 7.17649 28
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%% 30.00000 7.50663 28
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