%% =========================================================================== % etsi_goals - Sets up the goals (rate and reach) according to ETSI VDSL part1 % % Reference: % ETSI VDSL TS 101-270-1 V1.1.6 (1999-08) %% =========================================================================== %% =========================================================================== % Copyright (C) 1999-2000 % by Telia Research AB, Lulea, Sweden; All rights reserved. % % Project : FSAN xDSL simulation tool % Author(s) : Tomas Nordstrom (Tomas.Nordstrom@FTW.at) % : Daniel Bengtsson (Daniel.J.Bengtsson@Telia.se) % % CVS: $Id: etsi_goals.m,v 1.5 2000/03/13 14:04:17 tono Exp $ %% =========================================================================== % Change History % 1999-10-25 (ToNo) Created % 2000-03-13 (ToNo) Removed test services and swaped .NS into .SN %% =========================================================================== global ex; %% =========================================================================== % ETSI bitrates (goals) abaseu=[32,32,48,64]; abased=[100,134,226,362]; Arates=[abaseu; abased]*64*1e3; Anames=['A1'; 'A2'; 'A3'; 'A4']; sbase=[abased 442]; % [100,134,226,362,442]; Srates=[sbase; sbase]*64*1e3; Snames=['S1';'S2';'S3';'S4';'S5']; ex.goal.rates=[Srates,Arates]'; ex.goal.names=[Snames; Anames]; % That is, % upstream downstream % 6.4000 6.4000 S1 % 8.5760 8.5760 S2 % 14.4640 14.4640 S3 % 23.1680 23.1680 S4 % 28.2880 28.2880 S5 % 2.0480 6.4000 A1 % 2.0480 8.5760 A2 % 3.0720 14.4640 A3 % 4.0960 23.1680 A4 %% =========================================================================== % ETSI reaches (goals) ex.goal.reach.M(1).L(1).SN = [ 1344 1344 893 1292 1392 944; 1195 1195 844 1194 1244 896; 746 746 545 695 795 646; 0 0 0 0 0 0; 0 0 0 0 0 0; 1588 1686 892 0 0 0; 1490 1589 843 0 0 0; 1245 1294 796 0 0 0; 844 896 495 0 0 0; ]; ex.goal.reach.M(1).L(2).SN = [ 1241 1242 893 1292 1296 881; 1086 1195 844 1195 1149 821; 746 664 545 695 713 580; 0 0 0 0 0 0; 0 0 0 0 0 0; 1504 1598 847 0 0 0; 1400 1589 794 0 0 0; 1140 1186 730 0 0 0; 768 815 452 0 0 0; ]; ex.goal.reach.M(1).L(3).SN = [ 1242 1242 827 1199 1291 876; 1087 1087 769 1093 1138 820; 668 668 490 624 714 580; 0 0 0 0 0 0; 0 0 0 0 0 0; 1500 1594 843 0 0 0; 1395 1488 789 0 0 0; 1138 1184 729 0 0 0; 769 816 453 0 0 0; ]; ex.goal.reach.M(1).L(4).SN = [ 1342 1342 891 1284 1384 936; 1184 1184 833 1190 1240 891; 732 732 531 685 785 636; 0 0 0 0 0 0; 0 0 0 0 0 0; 1590 1689 894 0 0 0; 1493 1592 846 0 0 0; 1240 1290 791 0 0 0; 833 885 484 0 0 0; ]; %[goallenM(2).l(1).array(2,:)' goallenM(2).l(2).array(2,:)' goallenM(2).l(3).array(2,:)' goallenM(2).l(4).array(2,:)' goallenM(2).l(5).array(2,:)' goallenM(2).l(6).array(2,:)'] ex.goal.reach.M(2).L(1).SN = [ 1442 1442 994 1344 1444 945; 1245 1245 946 1245 1294 896; 795 795 646 745 845 646; 298 298 298 397 397 347; 248 248 248 298 298 298; 1687 1789 991 0 0 0; 1589 1688 943 0 0 0; 1294 1344 896 0 0 0; 945 995 595 0 0 0; ]; ex.goal.reach.M(2).L(2).SN = [ 1332 1332 919 1252 1345 881; 1132 1132 861 1141 1186 822; 708 708 575 668 758 580; 261 261 261 347 347 304; 212 212 212 255 255 255; 1598 1695 941 0 0 0; 1493 1585 887 0 0 0; 1186 1232 822 0 0 0; 847 891 534 0 0 0; ]; ex.goal.reach.M(2).L(3).SN = [ 1333 1333 920 1246 1339 876; 1132 1132 861 1139 1184 820; 712 712 580 668 758 581; 268 268 268 354 354 311; 219 219 219 262 262 262; 1594 1690 936 0 0 0; 1488 1580 882 0 0 0; 1184 1230 820 0 0 0; 848 892 535 0 0 0; ]; ex.goal.reach.M(2).L(4).SN = [ 1440 1440 992 1336 1435 937; 1233 1233 934 1240 1290 891; 781 781 632 734 834 636; 281 281 281 380 380 330; 229 229 229 280 280 280; 1689 1791 993 0 0 0; 1592 1691 945 0 0 0; 1290 1340 891 0 0 0; 935 984 584 0 0 0; ]; % noise A goallenM(2).l(1).array =[ 1442 1245 795 298 248 1687 1589 1294 945; 1332 1132 708 261 212 1598 1493 1186 847; 1333 1132 712 268 219 1594 1488 1184 848; 1440 1233 781 281 229 1689 1592 1290 935]; % noise B goallenM(2).l(2).array =[ 1442 1245 795 298 248 1789 1688 1344 995; 1332 1132 708 261 212 1695 1585 1232 891; 1333 1132 712 268 219 1690 1580 1230 892; 1440 1233 781 281 229 1791 1691 1340 984]; % noise C goallenM(2).l(3).array =[ 994 946 646 298 248 991 943 896 595; 919 861 575 261 212 941 887 822 534; 920 861 580 268 219 936 882 820 535; 992 934 632 281 229 993 945 891 584]; % noise D goallenM(2).l(4).array =[ 1344 1245 745 397 298 0 0 0 0; 1252 1141 668 347 255 0 0 0 0; 1246 1139 668 354 262 0 0 0 0; 1336 1240 734 380 280 0 0 0 0]; % noise E goallenM(2).l(5).array =[ 1444 1294 845 397 298 0 0 0 0; 1345 1186 758 347 255 0 0 0 0; 1339 1184 758 354 262 0 0 0 0; 1435 1290 834 380 280 0 0 0 0]; % noise F goallenM(2).l(6).array =[ 945 896 646 347 298 0 0 0 0 881 822 580 304 255 0 0 0 0 876 820 581 311 262 0 0 0 0 937 891 636 330 280 0 0 0 0]; % There is no asymmetric service for Noise D, E and F. The argument is % that ADSL would be more appropriate in those situations. %(Columns are services S1-S5, A1-A4. Rows are loops 1-4.) All figures % in meters. Mask M1 no notches (which is of course - incorrect) % noise A goallenM(1).l(1).array =[ 1344 1195 746 0 0 1588 1490 1245 844; 1241 1086 746 0 0 1504 1400 1140 768; 1242 1087 668 0 0 1500 1395 1138 769; 1342 1184 732 0 0 1590 1493 1240 833]; % noise B goallenM(1).l(2).array =[ 1344 1195 746 0 0 1686 1589 1294 896; 1242 1195 664 0 0 1598 1589 1186 815; 1242 1087 668 0 0 1594 1488 1184 816; 1342 1184 732 0 0 1689 1592 1290 885]; % noise C goallenM(1).l(3).array =[ 893 844 545 0 0 892 843 796 495; 893 844 545 0 0 847 794 730 452; 827 769 490 0 0 843 789 729 453; 891 833 531 0 0 894 846 791 484]; % noise D goallenM(1).l(4).array =[ 1292 1194 695 0 0 0 0 0 0; 1292 1195 695 0 0 0 0 0 0; 1199 1093 624 0 0 0 0 0 0; 1284 1190 685 0 0 0 0 0 0]; % noise E goallenM(1).l(5).array =[ 1392 1244 795 0 0 0 0 0 0; 1296 1149 713 0 0 0 0 0 0; 1291 1138 714 0 0 0 0 0 0; 1384 1240 785 0 0 0 0 0 0]; % noise F goallenM(1).l(6).array =[ 944 896 646 0 0 0 0 0 0; 881 821 580 0 0 0 0 0 0; 876 820 580 0 0 0 0 0 0 ; 936 891 636 0 0 0 0 0 0];