Deconvolution model with fractional Gaussian noise: A minimax study

We consider the problem of estimating a function in a deconvolution model with fractional Gaussian noise. We derive minimax lower and upper bounds to show that our estimator attains optimal or near optimal rates. Such rates are affected by LRD.