Robustness comparisons with the most prominent robust designs reported in the literature are presented.
Therefore, a non-probabilistic robustness assessment methodology, based on scenario analysis, is developed to identify robust designs.
Examples are given to show M-robust designs and compare them with minimax robust designs.
Numerical results demonstrated that the proposed robust designs provide substantial performance improvement over the existing alternatives.
We consider the robust designs aiming to maximize the minimum worst-case SINR among all users.
Therefore, robust designs based on channel covariance information [20] can be appropriate for such a scenario.
We construct minimax robust designs for estimating wavelet regression models.
Robust designs are developed for some correlated error structures.
Two robust designs (i.e., Robust-SP and Robust-LPM) are developed to solve the "dual" robust min-max power problem.
Moreover, to the best of the authors' knowledge, existing robust designs for secure AF relay networks are few.
Integer-valued, minimax robust designs for estimation and extrapolation in heteroscedastic, approximately linear models.
