The design of predicitve algorithms for non-stationary wireless channels enables pre-equalization of the transmitted waveform. By employing a combination of Bayesian sampling and tensor decomposition at the transmitter, the fidelity of communications is significantly improved compared to conventional receiver side algorithms.
As Spectrum Sharing is becoming a norm, the problem of enforcing these policies is also becoming increasingly crucial. This problem deals with many domains including: detection theory, multiagent planning as well crowdsensing.
We provide a method of signal characterization and its use in subsequent cancellation, that uses Eigenspaces derived from the astronomical and the RFI signals. This is different from conventional time-frequency domain analysis, which is limited to fixed characterizations that cannot adapt to the changing statistics of the RFI, typically observed from communication systems.
Blockchain technology is used to facilitate fundamental tasks like crowd sensing and routing among trustless distributed Ad hoc wireless devices.
CHRONOS (Cloud based Hybrid RF-OpticalNetwork Over Synchronous Links) is a multi-node, heterogeneous, wideband, scalable, hybrid and synchronous Cloud RAN, specifically to support high throughput wireless access for emerging applications like Virtual Reality (VR), Industrial IoT, 3D broadcast video, telesurgery.
Multi-modal analysis of wireless signals captured from the drone can be used for search and rescue missions, spectrum violation detection and electronic warfare.
Design of optimal passive and active RF and Microwave circuits and components.