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We analyze, design, and prototype Next-G networks that power future connected applications. Our work bridges rigorous theory with real-world implementation, creating innovative networking solutions that meet the demands of mission-critical applications.

Networks for Mission-Critical Applications: Theory Focus

Design of network control (e.g., routing and scheduling) algorithms with performance guarantees (in terms of throughput, latency, and/or information freshness) for wireless networks that support mission-critical applications. To develop such algorithms, we model the networked application and its objective function, use rigorous theory to develop algorithms, and derive bounds on their performance.

Selected Results:
Estimation-based algorithm at IEEE INFOCOM 2025
Learning algorithm at WiOpt 2021 (video)
Theory-driven algorithms at IFIP WiOpt 2025, 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 networking solutions using servers, FPGA-enabled Software-Defined Radios (SDRs), Multi-Drone Systems, Raspberry Pis, RF Integrated Circuits (RFICs), and Millimeter-Wave (mmWave) radars.

Selected Results:
– Networking solutions using 5G cellular (ongoing)
Drone network at IEEE INFOCOM 2023
(flight test video and article from MIT News)
Contention-free SDR network at IEEE ICCCN 2021 (experiment)
Contention-based WiFi-like network at IEEE INFOCOM 2021  (experiment)

http://AI%20Embodied%20Radios

AI Embodied Radios

Design and implementation of AI-driven network control algorithms for fair, efficient, and adaptive resource allocation in dynamic wireless networks.

Selected Results:
Dynamic routing in mmWave networks subject to weather-induced attenuation in ACM SIGMETRCS 2023.
Adaptive selection of time-frequency blocks (see figure) in the presence of jammers and in ad-hoc wireless networks . Reinforcement learning (RL) was used in IFIP WiOpt 2025 (Best Paper Award).  Spiking Neural Networks are being used in NeurIPS’25 AI4NextG.
– Implementation of the RL-base algorithm in resource-constrained SDRs (ongoing).

Algorithms for Advanced Wireless Systems

Advanced wireless technology such as millimeter-wave (mmWave) and full-duplex will enhance beyond-5G networks. However, as wireless systems evolve and become more capable, they can also become more complex, requiring advanced algorithm solutions to control these systems in dynamic environments.

Selected Results:
– Adaptive control of Full-Duplex RF Integrated Circuits (RFICs) at GRCon 2024, IEEE RFIC 2023, and IEEE ISSCC 2021 (presentation)
– Dynamic spectrum access at TPRC 2025, IFIP WiOpt 2024 (Best Student Paper Award), TPRC 2024, and IEEE WCNC 2023
– AI-driven algorithm for opportunistic weather sensing using mmWave radars (ongoing)

http://Algorithms%20for%20Advanced%20Wireless%20Systems

Join our team!

We are recruiting Ph.D., Master's, and Undergrad students to join our laboratory and conduct research on the next-generation wireless communication networks using a combination of: (i) rigorous theory; (ii) practical system implementation; and (iii) machine learning techniques. Please reach out if you are interested!

Recent News:


NSF

  • Aug 2023: grateful to the National Science Foundation for supporting our research on “Bridging the techno-economic gap for the design of spectrum Zone Management Systems” with an NSF SII-NRDZ-SBE grant.
  • July 2023: serving on the TPC of ACM SIGMETRICS / IFIP Performance 2024. Please consider submitting your best work!
  • June 2023: presented our paper entitled Switching in the Rain: Predictive Wireless x-haul Network Reconfiguration at ACM SIGMETRICS. Grateful to collaborators at Columbia University and Tel Aviv University. Thanks Ericsson for the dataset!
  • June 2023: the COSMOS outreach team hosted 20+ Hamilton Grange middle school students in a visit to the NSF PAWR COSMOS testbed.
  • May 2023: volunteered at the TSC’s STEAM Expo, demonstrating wireless communications concepts to K-12 students.
  • May 2023: serving as a Session Chair for IEEE INFOCOM 2023 in the millimeter-wave session.
  • April 2023: serving on the TPC of IEEE INFOCOM 2024. Please consider submitting your best work!
  • April 2023: selected as a Distinguished Member of the 2023 INFOCOM TPC.
  • Mar 2023: our work was featured in the MIT News article New “traffic cop” algorithm helps a drone swarm stay on task
  • Mar 2023: our paper on Frequency-Domain-Equalization-based Full-Duplex Receiver with Passive-Frequency-Shifting N-Path Filters has been accepted to IEEE RFIC 2023.
  • Jan, Feb, and Mar 2023: Invited talk “Wireless Networks for Future Applications: from Networks of Drones to Adaptive Control of Integrated Circuits” at:
    • University of California Los Angeles, Electrical and Computer Engineering Department
    • Northeastern University, Department of Electrical and Computer Engineering
    • Carnegie Mellon University, Department of Electrical and Computer Engineering
    • University of Virginia, Department of Electrical and Computer Engineering
    • Northwestern University, Department of Electrical and Computer Engineering
    • New York University, Department of Electrical and Computer Engineering
    • Virginia Tech, Department of Computer Science
    • Rensselaer Polytechnic Institute, Department of Electrical, Computer, and Systems Engineering

    NSF

  • Dec 2022: grateful to the National Science Foundation for supporting our research on “Spectrum Sharing via Consumption Models and Telemetry – Prototyping and Field Testing in an Urban FCC Innovation Zone” with an NSF SII-NRDZ grant. WiMNet news item here.
  • Dec 2022: our paper on Time-Sensitive Wireless Networking for Collaborative Teams of UAVs has been accepted to IEEE INFOCOM 2023. Video with UAV flight tests below. [Acceptance rate 19.2%] [link to the paper here]
  • Dec 2022: talk “Spectrum Sharing via Consumption Models” at Rutgers University, WINLAB Research Review.
  • Dec 2022: our paper on Large-Scale Dynamic Spectrum Access using SCMs has been accepted to IEEE WCNC 2023.
  • Oct 2022: our paper on Predictive Weather-Aware Rerouting and Admission Control for mmWave x-haul Networks has been accepted to ACM SIGMETRICS 2023. [Acceptance rate 18.3%] [link to the paper here]
Latine Fellows
  • July 2022: selected as a member of the 2022 cohort of LATinE Trailblazers in Engineering Fellows by Purdue’s College of Engineering. Columbia University news item here.
  • July 2022: our paper on Outdoor-to-Indoor mmWave Wireless Measurements has been accepted to ACM MobiHoc 2022. [Acceptance rate 19.8%] [link to the paper here]
  • May 2022: served as a panelist in the Career Day at Columbia Secondary School.
  • April 2022: serving on the TPC of IEEE INFOCOM 2023. Please consider submitting your best work!
NSF
  • April 2022: grateful to the National Science Foundation for supporting our research on “Enabling Wireless Edge-cloud Services via Autonomous Resource Allocation and Robust Physical Layer Technologies” with an NSF-RINGS grant. WiMNet news item here.
  • Feb and Mar 2022: Invited talk “Wireless Networks for Emerging Time-Sensitive Applications: Theory and Systems” at:
    • University of Washington, Department of Electrical and Computer Engineering
    • Cornell Tech and Cornell University, School of Electrical and Computer Engineering
    • Columbia University, CS Systems Seminar