To extend the proposed RRM schemes to account for imperfect channel state information (CSI) and beam alignment errors, we can introduce robust optimization techniques. Robust optimization considers uncertainties in the system parameters and aims to find solutions that are resilient to these uncertainties. In the context of RRM for millimeter-wave systems, this would involve formulating the optimization problem with a focus on minimizing the impact of CSI inaccuracies and beam misalignment.
One approach is to include probabilistic models for the uncertainties in the channel state information and beam alignment errors. By incorporating these uncertainties into the optimization problem, the RRM schemes can be designed to be more adaptive and robust in real-world scenarios where perfect CSI and beam alignment may not be achievable.
Furthermore, techniques such as worst-case optimization can be employed to ensure that the RRM schemes perform satisfactorily even under the worst possible conditions of CSI errors and beam misalignment. By considering the worst-case scenarios during the optimization process, the RRM schemes can be optimized to provide reliable performance in the presence of uncertainties.
Overall, extending the RRM schemes to address imperfect CSI and beam alignment errors involves incorporating robust optimization techniques and probabilistic models to account for uncertainties in the system parameters.