Wireless resource optimization – Determine network performance metrics as functions of the wireless resources and nodes deployment for the design and operation of communication and location-aware networks. Develop strategies for deploying assisting (i.e., cooperative) nodes to improve network performance in complex wireless environments. In the framework of 5G and beyond localization, develop network operation strategies for node prioritization, node selection, and node deployment in complex wireless environments.

Adaptive diversity communication systems – Design and analysis of adaptive diversity communication systems that provide reliable and efficient operation in wireless environments. Derive a new class of upper and lower bounds on multichannel communication performance with non-ideal channel estimation.

Distributed inference – Determine the accuracy of decentralized inference in wireless networks and establish both necessary conditions and sufficient conditions for boundedness of the inference error in terms of the nodal sensing and communication capabilities. Develop real-time encoding strategies for generating the information-carrying messages exchanged for decentralized inference.

Multidimensional stochastic sampling – Design and analyze wireless sensor networks with application to multidimensional signal reconstruction from spatiotemporal stochastic samples. Derive optimal interpolator that minimizes the reconstruction error as a function of multidimensional signal characteristics (signal spectrum and spatial correlation) and sampling properties (sensor spatial distribution, sample availability, and sensor position knowledge).