`log2(x) = log(x)/log(2)`

log(x) is supported by CVX for concave x, even though log2(x) is not.

However, `noise(n)`

is convex, and is not accepted as an argument of log, so you will need a more complicated reformulation, One way presuming R(n) is used in a convex fashion in your program, is to apply the first log–sum-inv solution in section 5.2.7 of https://docs.mosek.com/modeling-cookbook/expo.html 9 . with `dd_ue(n)/2`

as x.

```
variables s(N) t(N) y(N)
for n = 1:N
t(n) >= log_sum_exp([0 y(n)])
dd_ue(n)/2 >= exp(-y(n))
R2(n) = t(n)/log(2);
end
```