%% ===========================================================================
% 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];