test_3_6_12_24_36.m

TDM系统中的最优折中曲线搜索及调度算法性能评估

% =========================================================================
% Copyright (c)2006， 东南大学移动通信国家重点实验室
% All rights reserved.
%
% 文件名称：test_3_6_12_24_36.m
% function描述：最优折中曲线范围测试

% 当前版本： 1.0
% 作    者：梁浩
% 完成日期： 2006年10月
%==========================================================================

% Performance evaluation of existing scheduling algorithms
clc;
clear;

 rand('state',0);
 N1 = 12;
 for m=1:90
     test_rand = rand(1);
 end 
 for m=1:N1
     aveSNR_set1(m) = rand(1);
 end
 sum_set1 = sum(aveSNR_set1);
 aveSNR_set1 = aveSNR_set1 / sum_set1 * 120 ;
  
 PFFair_set1_jain = PFFair_jain(N1,aveSNR_set1);
 PFTh_set1_jain = PFTh_jain(N1,aveSNR_set1);
 maxCIFair_set1_jain= MaxCIFair_jain(N1, aveSNR_set1);
 maxCITh_set1_jain = MaxCITh_jain(N1, aveSNR_set1);
   
 PFFair_set1_gini = PFFair_gini(N1,aveSNR_set1);
 PFTh_set1_gini = PFTh_gini(N1,aveSNR_set1);
 maxCIFair_set1_gini= MaxCIFair_gini(N1, aveSNR_set1);
 maxCITh_set1_gini = MaxCITh_gini(N1, aveSNR_set1);
 
 PFFair_set1_log = PFFair_log(N1,aveSNR_set1);
 PFTh_set1_log = PFTh_log(N1,aveSNR_set1);
 maxCIFair_set1_log= MaxCIFair_log(N1, aveSNR_set1);
 maxCITh_set1_log = MaxCITh_log(N1, aveSNR_set1);
 
subplot(3,1,1);
plot(PFFair_set1_jain, PFTh_set1_jain, 'k^');
hold on;
plot(maxCIFair_set1_jain, maxCITh_set1_jain, 'k^');
hold on;
plot(PFFair_set1_gini, PFTh_set1_gini, 'ko');
hold on;
plot(maxCIFair_set1_gini, maxCITh_set1_gini, 'ko');
hold on;
plot(PFFair_set1_log, PFTh_set1_log, 'k*');
hold on;
plot(maxCIFair_set1_log, maxCITh_set1_log, 'k*');
hold on;
axis([0.1,1,3,6]);

 rand('state',0);
 N2 = 24;
 for m=1:820
     test_rand = rand(1);
 end
  for m=1:N2
     aveSNR_set2(m) = rand(1);
 end
 sum_set2 = sum(aveSNR_set2);
 aveSNR_set2 = aveSNR_set2 / sum_set2 * 240 ;

 PFFair_set2_jain = PFFair_jain(N2,aveSNR_set2);
 PFTh_set2_jain = PFTh_jain(N2,aveSNR_set2);
 maxCIFair_set2_jain = MaxCIFair_jain(N2, aveSNR_set2);
 maxCITh_set2_jain = MaxCITh_jain(N2, aveSNR_set2);
 
 PFFair_set2_gini = PFFair_gini(N2,aveSNR_set2);
 PFTh_set2_gini = PFTh_gini(N2,aveSNR_set2);
 maxCIFair_set2_gini= MaxCIFair_gini(N2, aveSNR_set2);
 maxCITh_set2_gini = MaxCITh_gini(N2, aveSNR_set2);
 
  PFFair_set2_log = PFFair_log(N2,aveSNR_set2);
 PFTh_set2_log = PFTh_log(N2,aveSNR_set2);
 maxCIFair_set2_log= MaxCIFair_log(N2, aveSNR_set2);
 maxCITh_set2_log = MaxCITh_log(N2, aveSNR_set2);
 
subplot(3,1,2);
plot(PFFair_set2_jain, PFTh_set2_jain, 'k^');
hold on;
plot(maxCIFair_set2_jain, maxCITh_set2_jain, 'k^');
hold on;
plot(PFFair_set2_gini, PFTh_set2_gini, 'ko');
hold on;
plot(maxCIFair_set2_gini, maxCITh_set2_gini, 'ko');
hold on;
plot(PFFair_set2_log, PFTh_set2_log, 'k*');
hold on;
plot(maxCIFair_set2_log, maxCITh_set2_log, 'k*');
hold on;
axis([0.1,1,3,6]);


rand('state',0);
N3 = 36;
for m=1:1400
     test_rand = rand(1);
end
for m=1:N3
     aveSNR_set3(m) = rand(1);
end
sum_set3 = sum(aveSNR_set3);
aveSNR_set3 = aveSNR_set3 / sum_set3 * 360;

 PFFair_set3_jain = PFFair_jain(N3,aveSNR_set3);
 PFTh_set3_jain = PFTh_jain(N3,aveSNR_set3);
 maxCIFair_set3_jain = MaxCIFair_jain(N3, aveSNR_set3);
 maxCITh_set3_jain = MaxCITh_jain(N3, aveSNR_set3);
 
  PFFair_set3_gini = PFFair_gini(N3,aveSNR_set3);
 PFTh_set3_gini = PFTh_gini(N3,aveSNR_set3);
 maxCIFair_set3_gini= MaxCIFair_gini(N3, aveSNR_set3);
 maxCITh_set3_gini = MaxCITh_gini(N3, aveSNR_set3);
 
 PFFair_set3_log = PFFair_log(N3,aveSNR_set3);
 PFTh_set3_log = PFTh_log(N3,aveSNR_set3);
 maxCIFair_set3_log= MaxCIFair_log(N3, aveSNR_set3);
 maxCITh_set3_log = MaxCITh_log(N3, aveSNR_set3);
 


subplot(3,1,3);
plot(PFFair_set3_jain, PFTh_set3_jain, 'k^');
hold on;
plot(maxCIFair_set3_jain, maxCITh_set3_jain, 'k^');
hold on;
plot(PFFair_set3_gini, PFTh_set3_gini, 'ko');
hold on;
plot(maxCIFair_set3_gini, maxCITh_set3_gini, 'ko');
hold on;
plot(PFFair_set3_log, PFTh_set3_log, 'k*');
hold on;
plot(maxCIFair_set3_log, maxCITh_set3_log, 'k*');
hold on;
axis([0.1,1,3,6]);