Networks for Mission-Critical Applications: Theory Focus
Development of network control algorithms with provable performance guarantees (in terms of latency, throughput, and/or information freshness) for wireless networks that support mission-critical applications. To develop such algorithms, we leverage tools such as dynamic programming, multi-armed bandits, regret analysis, Lyapunov optimization, renewal theory, and stochastic coupling.
Selected Results:
– Learning algorithm at WiOpt 2021
– Traditional scheduling algorithms at ACM MobiHoc 2019 (Best Paper Award Finalist) and IEEE INFOCOM 2018 (Best Paper Award)
Networks for Mission-Critical Applications: System Focus
Implementation, evaluation, and validation of our network control algorithms for mission-critical applications using Software-Defined Radios (SDRs), Multi-Drone Systems, Raspberry Pis, RF Integrated Circuits (RFICs), and Millimeter-Wave (mmWave) radars.
Selected Results:
– Drone network at IEEE INFOCOM 2023 (video of flight tests and article from MIT News)
– Overloaded SDR network at IEEE ICCCN 2021
– Full-Duplex RFICs at IEEE ISSCC 2021 and IEEE RFIC 2023
Advanced Wireless Systems
Development of traditional and ML-based network control algorithms that can jointly address resiliency in the physical and application layers by dynamically adapting the underlying advanced wireless systems (e.g., full-duplex and mmWave) to the time-varying conditions of the environment and, at the same time, intelligently allocating the available network resources in order to meet the performance requirements of the applications.
Selected Results:
– Dynamic reconfig. of mmWave networks at ACM SIGMETRICS 2023
– Collaborative spectrum sharing at IEEE WCNC 2023
– Enabling Full-Duplex wireless at IEEE ISSCC 2021 and IEEE RFIC 2023
– Paper on ML-based algorithm for opportunistic weather sensing using mmWave radars coming soon!