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?