Dr. Indrakshi Dey

Summary

The primary goal of this project is to be able to maximize the end-to-end performance of Machine-to-Machine Communications (M2MCom) systems through Cross-Layer PHY-MAC Full-Duplex (FD) design. It is expected that numerical results over realistic link scenarios will show that this FD design significantly improves the achievable throughput and latency as compared to other key contending technologies like Cognitive M2MCom, non-orthogonal waveform-based unified air interface etc. This FD cross-layer design proposed can successfully address some of the major challenges in M2MCom: a) efficient use of available spectrum supporting large-scale data communication and ever-increasing number of machines, b) energy efficiency through adaptive FD MIMO beamforming c) low latency requirements accomplished through FD operation and efficient spatial reuse, d) self-interference management achieved by switching between FD and half-duplex (HD) modes.

Funding Agency

Horizon 2020 EU

Programme

Marie Skłodowska-Curie COFUND Action - EDGE

Project Type

Technology for future generation wireless communications

Summary

The primary focus of this research is to understand and summarize the practical implications of either of the contending technologies, using massive MIMO and networks with small cells employing mm-wave links, for prototyping future generation massive and ubiquitous wireless sensor networks. This is accomplished in a two-fold measurement campaign. The campaigns are conducted to account for characterization of the propagation channel between multiple sensors and the decision fusion center, and realistic comparison of receivers and algorithms for fusion centers equipped with multiple integrated antennas.

Funding Agency

European Research Consortium for Information and Mathematics (ERCIM)

Programme

Alain Bensoussan Fellowship Program

Project Type

Practical Test-bed Measurement and Analysis

Summary

Developed and maintained a Simulink model of underwater acoustic channel in collaboration with graduate students, such that systems theoretical algorithms can be tested in the dry laboratory facility available. The channel model is enhanced with channel classes or types, as appropriate, to enable simulation of a large variety of acoustic transmission scenarios.

Funding Agency

Atlantic Innovation Fund (AIF), Canada

Programme

Atlantic Canada Opportunities Agency (ACOA)

Project Type

System Design and Development for DRDC, Canada