Robust Linear Transceiver Design for Parameter Tracking in IoT Networks

This work develops a robust linear joint transceiver design framework toward tracking a time varying parameter in a multi-sensor network considering channel state information (CSI) uncertainty. To begin with, an optimal parameter tracking framework is developed for a scenario with perfect CSI. This is followed by formulation of the per slot average mean square error (MSE) optimization problem subject to individual sensor power constraints considering stochastic CSI uncertainty. Next, a fast block coordinate descent (BCD) based robust transceiver design is developed that minimizes the average MSE in each slot. Simulation results demonstrate the performance of the proposed scheme and also show the improvement against the existing schemes in the literature that ignore the CSI uncertainty.