evalution_jain_24.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：evalution_Jain_24.m
% function描述：调度算法性能评估，24用户，Jain Index

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

clear;
clc;

%随机集合的再现、归一化、从小到大排序
rand('state',0);
N2 = 24;
for m=1:1800
    test_rand = rand(1);
end
for m=1:N2
    aveSNR(m) = rand(1);
end
sum_set = sum(aveSNR);
aveSNR = aveSNR / sum_set * 240 ;
%从小到大排列
aveSNR_sorted = sort(aveSNR);



%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 分组#1(折中分组，多取一个转置)，Hybird N/A K=2
N = 24;
clear aveSNR_grouped;
K = 2;
uses_per_group = N ./ (24/K);
vecN = uses_per_group .* ones(1,(24/K));
for k = 1:24/K
    aveSNR_grouped(k,:) = aveSNR_sorted( [( (k-1) * uses_per_group + 1) : (k * uses_per_group)] );
end
aveSNR_grouped = aveSNR_grouped';
clear uses_per_group;
clear vecN;
uses_per_group = N ./ K;
vecN = uses_per_group .* ones(1,K);

%计算Hybrid N/A方法的Throughput、Fairness
hyNAFair12 = HyNAFair(K, vecN, aveSNR_grouped)
hyNATh12 = HyNATh(K, vecN, aveSNR_grouped)


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 分组#2(折中分组，多取一个转置)，Hybird N/A K=4
N = 24;
clear aveSNR_grouped;
K = 4;
uses_per_group = N ./ (24/K);
vecN = uses_per_group .* ones(1,(24/K));
for k = 1:24/K
    aveSNR_grouped(k,:) = aveSNR_sorted( [( (k-1) * uses_per_group + 1) : (k * uses_per_group)] );
end
aveSNR_grouped = aveSNR_grouped';
clear uses_per_group;
clear vecN;
uses_per_group = N ./ K;
vecN = uses_per_group .* ones(1,K);

%计算Hybrid N/A方法的Throughput、Fairness
hyNAFair2 = HyNAFair(K, vecN, aveSNR_grouped)
hyNATh2 = HyNATh(K, vecN, aveSNR_grouped)

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 分组#3(折中分组，多取一个转置)，Hybird A/N K=8
N = 24;
clear aveSNR_grouped;
K = 8;
uses_per_group = N ./ (24/K);
vecN = uses_per_group .* ones(1,(24/K));
for k = 1:24/K
    aveSNR_grouped(k,:) = aveSNR_sorted( [( (k-1) * uses_per_group + 1) : (k * uses_per_group)] );
end
aveSNR_grouped = aveSNR_grouped';
clear uses_per_group;
clear vecN;
uses_per_group = N ./ K;
vecN = uses_per_group .* ones(1,K);
%计算Hybrid A/N方法中用到的中间参数aveSNRn
for n = 1:K
    aveSNRn(n) = quadl(@HyANmodpdf, 10^(-3), 10^3, 10^(-12), [], vecN, aveSNR_grouped, n);
end
%计算Hybrid A/N方法的Throughput、Fairness
for i = 1:K
    for j= 1:vecN(i)
        Th12(i,j) = double_int(10^(-4),'x_hi',10^(-3) ,10^3, K, vecN, aveSNR_grouped, aveSNRn, i, j)
    end
end
hyANFair12 = Fairness_Jain(N, Th12)
hyANTh12 = sum(sum(Th12))


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 分组#4(折中分组，多取一个转置)，Hybird A/N K=12
N = 24;
clear aveSNR_grouped;
K = 12;
uses_per_group = N ./ (24/K);
vecN = uses_per_group .* ones(1,(24/K));
for k = 1:24/K
    aveSNR_grouped(k,:) = aveSNR_sorted( [( (k-1) * uses_per_group + 1) : (k * uses_per_group)] );
end
aveSNR_grouped = aveSNR_grouped';
clear uses_per_group;
clear vecN;
uses_per_group = N ./ K;
vecN = uses_per_group .* ones(1,K);
%计算Hybrid A/N方法中用到的中间参数aveSNRn
for n = 1:K
    aveSNRn(n) = quadl(@HyANmodpdf, 10^(-3), 10^3, 10^(-12), [], vecN, aveSNR_grouped, n);
end
%计算Hybrid A/N方法的Throughput、Fairness
for i = 1:K
    for j= 1:vecN(i)
        Th2(i,j) = double_int(10^(-4),'x_hi',10^(-3) ,10^3, K, vecN, aveSNR_grouped, aveSNRn, i, j)
    end
end
hyANFair2 = Fairness_Jain(N, Th2)
hyANTh2 = sum(sum(Th2))



%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 其它几种调度算法：max C/I、PF、M-LWDF
maxCIFair= MaxCIFair(N, aveSNR)
maxCITh = MaxCITh(N, aveSNR)

pfFair = PFFair(N,aveSNR)
pfTh = PFTh(N,aveSNR)

rrFair = RRFair(N,aveSNR)
rrTh = RRTh(N,aveSNR)

[PBFS_Th_100, PBFS_Fair_100] = PBFS_Jain(N, aveSNR, ones(1, N), 1000, 150)
[PBFS_Th_500, PBFS_Fair_500] = PBFS_Jain(N, aveSNR, ones(1, N), 1000, 600)
[PBFS_Th_3000, PBFS_Fair_3000] = PBFS_Jain(N, aveSNR, ones(1, N), 1000, 2500)
% [S_PBFS_Th, S_PBFS_Fair] = S_PBFS_Jain(N, aveSNR, ones(1, N), 1000)

load mat_precise_12_24_36.mat

figure
plot(aimFair_set2_jain,opTh_set2_jain,'k.-')
hold on;
plot(rrFair,rrTh,'kh')
hold on;
plot(maxCIFair,maxCITh , 'ks');
hold on;
plot(pfFair,pfTh , 'kd');
hold on;
plot(hyNAFair12, hyNATh12, 'k<')
hold on;
plot(hyNAFair2, hyNATh2, 'k>')
hold on;
plot(hyANFair12, hyANTh12, 'k^')
hold on;
plot(hyANFair2, hyANTh2, 'kv')
hold on;
plot(PBFS_Fair_100,PBFS_Th_100, 'k*')
hold on;
plot(PBFS_Fair_500,PBFS_Th_500, 'k+')
hold on;
plot(PBFS_Fair_3000,PBFS_Th_3000, 'kp')
hold on;
% plot(S_PBFS_Fair,S_PBFS_Th, 'k+')
% hold on;
grid on;
legend('Optimal Curve','RR','Max C/I','PF','Hybrid N/A K=2','Hybrid N/A K=4','Hybrid A/N K=8','Hybrid A/N K=12', 'PBFS D=300', 'PBFS D=1200', 'PBFS D=5000', 3)
xlabel('Fairness');
ylabel('Throughput (bps/Hz)');