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multiUserPredictiveChannelUse.m
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classdef multiUserPredictiveChannelUse < handle
properties(Access =public)
CSMAAccess;
SUarray;
InterferedSubSlots;
length_train;
numChannelsSUAccessPerSlot;
commonChanUsed;
end
properties(Access=private)
algorithm
hmmModel
probFalse
probMissed
end
methods
function obj = multiUserPredictiveChannelUse(algorithmIn,SUAccessProb)
obj.algorithm = algorithmIn; %1 for PST1, 2 for PST1, 3 for HMM and 4 for MLP
obj.probMissed = 0.1;
obj.hmmModel = load(strcat('hmm_model_params_Q_10_subseq_',num2str(obj.probMissed),'Pm_MAP.mat'), '-mat', 'obsmat_final1','prior_final1','transmat_final1');
obj.InterferedSubSlots = 0;
%hmmModel = load(strcat('hmm_model_params_Q_10_negbin',num2str(probMissed),'.mat'), '-mat', 'obsmat_final1','prior_final1','transmat_final1');
%mlpModel = load(strcat('MLP_model_params_10_14_21_1_negBin_',num2str(probMissed),'.mat'),'-mat','net','Layers');
%% MAP distribution generation
mean_burst_length = 10;
utilization = [0.2*ones(1,4),0.4*ones(1,4),0.8*ones(1,2)];
meanIdleDuration = mean_burst_length*(1-utilization)./utilization;
number_of_states = 6 ;
obj.length_train = 200;
s4 = RandStream.create('mrg32k3a','NumStreams',1);
D = cell(3,1);
train_seq = [];
for utilIndex = 1:3
D{utilIndex,1} = selfSimMAP(number_of_states,mean_burst_length,utilization(1,utilIndex));
train_seq = [train_seq;MAP_rv_gen_mul(obj.length_train,s4,D{utilIndex,1} )];
%% Erlang
% on_rate = 2.5;
% off_rate = 1.5;
% delay = 0.2;
% train_slots = 50000;
% train_seq = ErlangSampleGenSingleChannel( off_rate,on_rate,delay);
%% Negbin
%successes = 5;
%utilization = 0.4;
%burstlength = 10;
%obj.length_train =20000;
%train_seq = negbinSampleGen(successes,utilization, burstlength, length_train);
num_of_samples = 5;
snr_dB = 5;
snr = 10^(snr_dB/10);
obj.probFalse = solveFalseAlarm(num_of_samples, obj.probMissed, snr);
for index = 1:size(train_seq,2)
if train_seq(utilIndex,index) == '0'
if rand()<=obj.probFalse
train_seq(utilIndex,index) = '1';
end
else
if rand()<=obj.probMissed
train_seq(utilIndex,index) = '0';
end
end
end
end
%% PST model
ab = alphabet('10');
params.ab_size = size(ab);
params.d = 10;
params.pMin = 0.006;
params.alpha= 0;
params.gamma = 0.0006;
params.r = 1.05;
%javaclasspath({'/Users/umdevana/Documents/MatlabCode/matlabVMM_2.1.2/vmm/trove.jar', ...
% '/Users/umdevana/Documents/MatlabCode/matlabVMM_2.1.2/vmm/
% vmm.jar'}); % MAC
javaclasspath({'C:\Users\Chamara\Documents\Transactions\MatlabCode\matlabVMM_2.1.2\vmm\trove.jar', ...
'C:\Users\Chamara\Documents\Transactions\MatlabCode\matlabVMM_2.1.2\vmm\vmm.jar'});
pstModel = cell(3,1);
for utilIndex = 1:3
pstModel{utilIndex,1} = vmm_create(map(ab,train_seq(utilIndex,:)), 'PST', params);
end
%% Network model parameters
numberOfPUChannels = 10;
numberOfSUs = 20;
obj.numChannelsSUAccessPerSlot = 3;
%stationaryProbOfChIdle =ones(1,numberOfPUChannels);
probChannelIdle = [0.2*ones(1,4),0.4*ones(1,4),0.8*ones(1,2)]; % for MAP
%probChannelIdle = on_rate/(on_rate+off_rate);
stationaryProbOfChIdle =probChannelIdle;
channelAccessProbSU = SUAccessProb; % channel access probability of SUs
obj.commonChanUsed = zeros(1,obj.length_train*obj.numChannelsSUAccessPerSlot);
%% PU Channel usage
currentSlotNo = 1;
chanUsed = 0;
primaryChannelVec = [];
for channelNo=1:numberOfPUChannels
s4= RandStream.create('mrg32k3a','NumStreams',1);
if channelNo<=4
testSequence = MAP_rv_gen_mul(obj.length_train,s4,D{1,1});
elseif channelNo>4 && channelNo<=8
testSequence = MAP_rv_gen_mul(obj.length_train,s4,D{2,1});
elseif channelNo>8 && channelNo<=10
testSequence = MAP_rv_gen_mul(obj.length_train,s4,D{3,1});
end
%testSequence = negbinSampleGen(successes,utilization,burstlength,length_train); %Negbin
primaryChannelVec = [primaryChannelVec;testSequence];
testSequence = [];
end
%% SU object array
obj.SUarray = [];
ctrlSwitchOrder = (1:numberOfPUChannels)';
for SUIndex = 1:numberOfSUs
obj.SUarray = [obj.SUarray, SecondaryUser(SUIndex,ctrlSwitchOrder,obj.probFalse,obj.probMissed,pstModel,obj.hmmModel,meanIdleDuration,numberOfPUChannels)];
end
%% CSMA Access
disp('number of SUs');
disp(numberOfSUs);
obj.CSMAAccess = CSMAAccessSU(primaryChannelVec(:,1),numberOfPUChannels,numberOfSUs,obj.numChannelsSUAccessPerSlot,obj.SUarray,channelAccessProbSU);
for timeSlotNo = 1:obj.length_train
obj.CSMAAccess.puChannelStates = primaryChannelVec(:,timeSlotNo);
obj.CSMAAccess.slotNumber = timeSlotNo;
obj.CSMAAccess.allocChannels = zeros(numberOfPUChannels,2);
obj.CSMAAccess.channelAgainstSUBackoff = ones(numberOfPUChannels,numberOfSUs)*(3);
for SUIndex = 1:numberOfSUs
if rand()<= channelAccessProbSU
obj.SUarray(1,SUIndex).isTransmiting = 1;
obj.SUarray(1,SUIndex).numPacketsToTx = obj.SUarray(1,SUIndex).numPacketsToTx + randi(3);
% else
% obj.SUarray(1,SUIndex).isTransmiting = 0;
end
end
for SUIndex = 1:numberOfSUs
obj.SUarray(1,SUIndex).channelAcquired = 0;
end
for subslotNo = 1:obj.numChannelsSUAccessPerSlot
obj.CSMAAccess.subSlotNumber = subslotNo;
obj.CSMAAccess.allocChannelToSU(obj.algorithm);
tempChannelUsed = zeros(1,numberOfSUs);
for SUIndex = 1:numberOfSUs
if isempty(obj.SUarray(1,SUIndex).channelSwitchOrder)~=1
tempChannelUsed(1,SUIndex) = obj.SUarray(1,SUIndex).channelSwitchOrder(subslotNo,1);
end
end
searchedChannels(1,:) = [tempChannelUsed(1,1),size(find(tempChannelUsed==tempChannelUsed(1,1)),2)];
for SUIndex = 2:numberOfSUs
if isempty(searchedChannels) ~= 1
if isempty(find(searchedChannels(:,1)==tempChannelUsed(1,SUIndex), 1))==1
searchedChannels= [searchedChannels;tempChannelUsed(1,SUIndex),size(find(tempChannelUsed==tempChannelUsed(1,SUIndex)),2)];
end
end
end
if isempty(searchedChannels) ~= 1
obj.commonChanUsed(1,(timeSlotNo-1)*subslotNo+subslotNo)=mean(searchedChannels(:,2));
searchedChannels = [];
end
end
end
end
function [averageInterference,avgTxRate,avgCtrlSlots,avgSUUsingSameChan,avgCollisions] = audit(obj,numberOfSUs)
avgCtrlSlotsVec=zeros(1,numberOfSUs);
avgTxRateVec=zeros(1,numberOfSUs);
averageInterferenceVec=zeros(1,numberOfSUs);
avgCollisions = zeros(1,numberOfSUs);
for SUIndex = 1:numberOfSUs
% disp('cumulative ctrl Slots');
% disp(obj.SUarray(1,SUIndex).cumulativeCtrlSlots);
% disp('cumulative pkts');
% disp(obj.SUarray(1,SUIndex).cumulativePackets);
if obj.SUarray(1,SUIndex).currentAttemptCtrl ~= 0
obj.SUarray(1,SUIndex).cumulativeCtrlSlots = [obj.SUarray(1,SUIndex).cumulativeCtrlSlots,obj.SUarray(1,SUIndex).currentAttemptCtrl];
end
% if obj.SUarray(1,SUIndex).currentAttempt ~= 0 && obj.SUarray(1,SUIndex).pktsTranmitted ~= 0
% obj.SUarray(1,SUIndex).cumulativeTxslots = [obj.SUarray(1,SUIndex).cumulativeCtrlSlots,obj.SUarray(1,SUIndex).currentAttempt];
% obj.SUarray(1,SUIndex).cumulativePackets = [obj.SUarray(1,SUIndex).cumulativePackets,obj.SUarray(1,SUIndex).pktsTranmitted];
% end
%
if size(obj.SUarray(1,SUIndex).cumulativeCtrlSlots,1)~=0
avgCtrlSlotsVec(1,SUIndex) = mean(obj.SUarray(1,SUIndex).cumulativeCtrlSlots) ;
else
avgCtrlSlotsVec(1,SUIndex) = 0;
end
if obj.SUarray(1,SUIndex).currentAttempt~=0
% avgTxRateVec(1,SUIndex) = mean(obj.SUarray(1,SUIndex).cumulativePackets./(obj.SUarray(1,SUIndex).cumulativeTxslots(2:end)+obj.SUarray(1,SUIndex).cumulativeCtrlSlots));
avgTxRateVec(1,SUIndex) = obj.SUarray(1,SUIndex).pktsTranmitted/(obj.SUarray(1,SUIndex).currentAttempt+sum(obj.SUarray(1,SUIndex).cumulativeCtrlSlots));
else
avgTxRateVec(1,SUIndex) = 0;
end
averageInterferenceVec(1,SUIndex) = obj.SUarray(1,SUIndex).cumulativeInterferedSlots/(obj.numChannelsSUAccessPerSlot*obj.length_train);
avgCollisions(1,SUIndex) = obj.SUarray(1,SUIndex).cumulativeCollisionSlots/(obj.numChannelsSUAccessPerSlot*obj.length_train);
end
averageInterference = mean(averageInterferenceVec);
avgTxRate =mean(avgTxRateVec);
avgCtrlSlots = mean(avgCtrlSlotsVec);
avgSUUsingSameChan = mean(obj.commonChanUsed);
avgCollisions = mean(avgCollisions);
end
end
end