MATLAB: How to reduce execution time in nested for loops and struc. arrays

for loopperformancereduce timestruct array

I have the following code, it is part of a much larger one. The total execution time for the whole code is around 50 sec. I am trying to reduce this figure to few secs. So the first thing is I started to look for for loops to reduce.
The following part of the code is taking 33 sec. (more than half the total time) and I am only creating strucs. arrays
NOC=100;                        
NOBS=2;                         
NORB_PER_BS=5;                  
NOU=200 ;                       
    for k=1:NOU                  
        U1(k).SINR_MAX=0;       
        U1(k).SINR_F_AVG=0;     
        U1(k).v=[];             
        U1(k).w=[];             
        U1(k).SINR_IND={};      
        U1(k).ASSIGNED=0;       
        U1(k).SINR_MAX_CANDIDATES=[];
        for n=1:NORB_PER_BS     
            for b=1:NOBS       
                for v=1:NOU     
                    U(k,n,b).Q_LIST=[];         
                    U(k,n,b).Q_LIST1=[];        
                    U(k,n,b).Q_LIST_MEMBERS=[]; 
                    U(k,n,b).Q_MIN_MEMBERS=[];  
                    U(k,n,b).Q_MIN=[];
                    SINR(k,n,b)=0;              
                end
            end
        end
    end

Best Answer

Your current code is equivalent to:
U = struct('SINR_MAX', num2cell(zeros(1, NOU)), 'SINR_F_AVG', 0, 'v', [], 'w', [], 'SINR_IND', {{[]}}, 'ASSIGNED', 0, 'SINR_MAX_CANDIDATES', []);
U1 = struct('Q_LIST', cell(NOU, NORB_PER_BS, NOBS), 'Q_LIST1',[], 'Q_LIST_MEMBERS', [], 'Q_MIN_MEMBERS', [], 'Q_MIN', []);
SINR = zeros(NOU, NORB_PER_BS, NOBS);
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