The robust sum-MSE minimizations with per BS antenna and per BS power constraints were investigated in [21] through the downlink-uplink duality.
In particular, in [9, 10], the authors considered the problem of robust minimum sum mean-square error (SMSE) relay precoder design for the two-way relay networking (TWRN).
The robust weighted sum MSE minimization problem with per-BS power constraints was addressed in [21] for multicell downlink joint transmission systems.
By using ([12] Lemma 2), the robust minimum sum-MSE optimization problem [9, 10] can be easily converted into a convex problem.
The number of robust QTL intervals (sum RMIP values at least 50%) detected in at least one family with single-family analysis ranged from 22 (TL) to 42 (LL) (Table 1; Figure 6).
In practice, the robust-likelihood cumulative sum (RLCUSUM) control charts, using truncation of the log-likelihood underpinnings of the CUSUM to ensure robust performance, which perform well to detect small shifts in the mean of heavy-tailed processes and have the ability to discount outliers.
Inspired by our previous work on robust filter-and-sum beamformer design [16, 18], the robust FSBB design using convex optimization with some priori knowledge of microphone mismatches is studied in this paper.
It is shown that although the WCP optimization has been successfully applied to the design of robust filter-and-sum beamformers as in [16, 17]; unfortunately, it may become unapplicable to robust FSBB design due to its over-conservativeness nature as analyzed in the paper.
It is shown that although the worst-case performance (WCP) optimization has been successfully applied to the design of robust filter-and-sum beamformers with bounded microphone mismatches, it may become unapplicable to robust FSBB design due to its over-conservativeness nature.
Zhao et al. [22] investigated robust beamforming design of sum secrecy rate optimization under sum power constraint for multiple user-eavesdropper pairs, and a low complexity zero-forcing (ZF) beamformers is developed.
