The Wireless Networking and Systems (WINGS) Lab was established in 2001 and has conducted research across several areas of wireless networking and mobile computing, focusing on applying mathematical modeling and machine learning techniques to improve network performance. The students and faculty in the lab have contributed in various directions, including low-latency and fault-tolerant networks, wireless sensor networks, and cellular networks. Currently, the lab focuses on shared spectrum access technologies, mobile experience, RFID backscatter networks, and video streaming. Since 2020, we have also explored quantum networks. Currently studying the network stack in quantum networks.
Our Recent Papers
IEEE Transactions on Quantum Engineering
Optimized Distribution of Entanglement Graph States in Quantum Networks
IEEE International Conference on RFID 2025
Improving Communication Performance of Passive Backscattering Tags Using Collaborative Backscatter,
ACM/IEEE Symposium on Edge Computing 2024
OVIDA: Orchestrator for Video Analytics on Disaggregated Architecture
ACM Transactions on Quantum Computing 2024
Optimizing Initial State of Detector Sensors in Quantum Sensor Networks
IEEE Access
DeepAlloc: Deep Learning Approach to Spectrum Allocation in Shared Spectrum Systems
Physical Review A (PRA) 2023
Discrete Outcome Quantum Sensor Networks
ACM IMWUT/UbiComp 2023
RoVaR: Robust Multi-agent Tracking through Dual-layer Diversity in Visual and RF Sensor Fusion
IEEE QCE 2023
Quantum Sensor Network Algorithms for Transmitter Localization
Active Funded Projects
[Quantum Computing / Networking] Robust Quantum Networks via Efficient Entanglement Distribution
[Spectrum Sensing] Secured Spectrum Allocation and Patrolling in Shared Spectrum Systems
[RFID, Tag-to-Tag Networks] RF-Based Analytics with Intelligent Backscattering in Passive Tag-to-Tag Networks
[RFID, Backscattering] Passive Network of Tags for Smart Spaces
[Picocells, FSO, 5G+] A Wireless Backhaul for Multi-Gigabit Picocells Using Steerable Free Space Optics
[Spectrum Sensing] SpecSense: Bringing Spectrum Sensing to the Masses
[Quantum Information] Cisco Quantum Information