The concept of weighted entropy with weight function $\varphi$ defined as
$$ H_\varphi = -\sum_i \phi(A_i) p(A_i) \log p(A_i) $$
is not so new. However, this recent reference seems to give a good discussion.
https://arxiv.org/abs/1710.10798
If I understand your problem correctly you need to find weights that give you a weighted entropy below the channel capacity and correspond to your evaluation of the relative importance of the different symbols. This is an optimisation problem.