In recently, i find this situation when i run the simulations.
And i don’t what’s the meaning of this.
the code is the following,
i fixed n ,
** W_hat is the (Nt,Nt,K,N) PSD matrix** ,
** lam_hat is the larger than or equal to 0** , and
** h_bar is the (Nt,K,N) complex vector**
X1 = sum(W_hat,3) ; cvx_begin quiet variables t(K,N_carrier) maximize (sum(log(1+t(:,n))/log(2))) subject to for k = 1:K [eye(Nt);h_bar(:,k,n)']*(W_hat(:,:,k,n)-t(k,n).*(X1(:,:,1,n) - W_hat(:,:,k,n)))*([eye(Nt);h_bar(:,k,n)']')+[lam_hat(k,n)*eye(Nt),zeros(Nt,1) ;zeros(1,Nt),-lam_hat(k,n)*(error_radius(k,n)^2)-t(k,n)*noise_power(k,n)] == hermitian_semidefinite(Nt+1); end cvx_end
Can anyone give me a favor?