Sometimes, i run the following codes, this situation happens.
i have no idea to handle this problem,
Here, x and y are the (K,Nt) matrix, each component belongs to (0,1),
code is in the following,
power_allocation = 0 ;
cvx_begin quiet
variables W(Nt,Nt,K,N_carrier) w(Nt,K,N_carrier)
variables lambda(K,N_carrier) t(K,N_carrier)
W_sum = sum(W,3) ;
for i =1:K
power_allocation = power_allocation + w(:,i,n)'*w(:,i,n) ;
end
maximize (sum(t(:,n)))
subject to
for k=1:K
[eye(Nt); h_bar(:,k,n)']*(-(abs(x_feasible_point(k,n) )^2 )*W_sum(:,:,1,n) )*([eye(Nt) ; h_bar(:,k,n)']') + [(lambda(k,n)*eye(Nt)),(x_feasible_point(k,n)')*w(:,k,n);x_feasible_point(k,n)*(w(:,k,n)'),(-lambda(k,n)*(error_radius(k,n)^2)-1-y_bar_old(k,n)*(t(k,n)-1)+entr(y_bar_old(k,n))-(abs(x_feasible_point(k,n))^2)*noise_power(k,n)+ 2*real((h_bar(:,k,n)'*w(:,k,n) )*(x_feasible_point(k,n)') ) )] == hermitian_semidefinite(Nt+1) ;
[1,w(:,k,n)';w(:,k,n),W(:,:,k,n)] == hermitian_semidefinite(Nt+1) ;
lambda(k,n) >=0 ;
end
power_max/N_carrier - power_allocation >= 0 ;
cvx_end
Can anyone give me a favor?
Thank you for your attention.