Research

Current Projects

• Towards Automated Microelectronic Package Design
• Inhomogeneous Inclusion Design in Electromagnetic and Photonic Nanosystems
• Incorporating Statistical Variability into Circuit-Electromagnetic Modeling of RF and Analog Systems
• Enabling RF and Analog Synthesis Capability in Circuit-Electromagnetic Simulators
• Hybrid Numerical-Analytic Techniques for Power Integrity and Signal Integrity Modeling of Microelectronic Systems
• Cross Layer Circuit-Electromagnetic-Channel-Network Simulators for RFID System Design
• Design Tools and Insights for Low-Intensity Wireless Power Systems
• Discrete Green’s Function Methods for Accelerated and Novel Algebraic Algorithms on Graphs

Cross Layer Circuit-Electromagnetic-Channel-Network Simulators for RFID System Design

Students: Ritochit Chakraborty and Mosin Mondal

Funding: National Science Foundation

Radio Frequency ID devices and networks are prevalent in a variety of emerging applications in sensing, control, and network applications. In particular, dense RFID networks promise unheard of applications such as real-world search and human activity assistance. The technical challenges of dense RFID networks are immense. Two distinct cross layer challenges arise. At the device level, tag models of individual tags in the presence of other tags that are electromagnetically coupled are required in order to design appropriate tag circuits and circuit stages, tag densities, and reader locations. At the system level, channel models for reader-multiple tag-reader paths are required. With these two cross-layer models, dense-tag RFID system design can be enabled. This project deals with both aspects through a variety of techniques including EM-circuit simulation, rapid EM modeling and Monte-Carlo methods for statistical channel model development, and cross-layer power consumption and power distribution prediction.