… on the bounded ellipsoid model of the uncertainty in CSI, we … a tight upper bound of the
worst-case MSE, which effectively … In Fig.4, we present ADMM method to optimize the sensors’ …

… input-multiple-output (MIMO) downlink channel, and power control … some closed sets, with
ellipsoids being the most popular … -conservative, since the worst-case scenario may occur only …

… area such as sonar system, biomedical system.....etc. The … We find the worst case CSI by
modifying theorem 1 in [96], … (robust solution) for optimizing the design of downlink beamforming …

… uncertainties into a deterministic ellipsoid bounding form and obtain the worst-case optimization
… Wang, and AP Petropulu, “A deep learning framework for optimization of MISO downlink …

… network is tough to reach, because of the trait of large beam area [… CSI uncertainties and
forms a worst-case optimization … two proposed robust beamforming schemes, using the ellipsoid …

… We consider the downlink transmission in an IRS-assisted multiuser MISO wireless …
worst-case robust transmit power minimization problem for norm-bounded CSI uncertainties…

… precoder which operates based on optimizing the worst-case … uncertainty, which is considered
as an elliptical region. Hence… the feasible ellipsoid region for Δij and GEE is formulated as …

… or ellipsoid bounds), which is generally unknown in practice. Moreover, robust optimization
is in … It shrinks the feasible region to ensure the “worst-case” performance and consequently …

… In the references, an uncertainty set of the actual channel is modeled as a ball or an ellipsoid
… We select the worst-case channel model as our initial development. That is, the following …

… In this paper, the optimization of downlink beamforming vectors, … According to [32], the
worst-case complexity of (16)-SDR … error of channels as a deterministic ellipsoid [34], as follows: …