Quantum Processing meets Wireless Networks

Quantum × Wireless

Incorporating quantum annealing, quantum computation, and quantum-inspired compute into tomorrow's wireless cellular networks.

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Parallel Tempering-based Massive MIMO Detection

ParaMax

The first Multi-User Large/Massive MIMO detector that brings to bear physics-inspired parallel tempering algorithmic techniques that increase spectral efficiency in large NextG networks.

MobiCom '21 Paper

Reconfigurable mmWave Metamaterial Surfaces

mmWall

An electronically-reconfigurable metamaterial surface that enables fast mmWave beam relay, redirecting beam power to support multiple users and overcome obstacle blockage. mmWall can electronically steer energy through the wall, reflect energy off the wall, or many combinations thereof.

HotMobile '21 Paper

A highly-granular 5G RAN telemetry tool

NG-Scope

NG-Scope provides a telemetry stream API for apps and end-to-end protocols for cell capacity, latency, and management data. Basis for Precise Bandwidth Estimation Congestion Control (PBE-CC) algorithm appearing at SIGCOMM 2020.

NG-Scope Paper PBE-CC Paper

Mission

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The Princeton Advanced Wireless Systems (PAWS) research group builds, experiments, and evaluates wireless systems that enable data networking, the localization of people, objects, and devices, and intuitive interaction with machines. Our work covers all aspects of wireless computer networks, from the basic architecture of the wireless physical layer to the reliable flow of data between Internet endpoints.

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Join us!

We seek prospective graduate students and postdocs with an interest in working on challenging, practical open problems in wireless networks, systems, and sensing. If you are interested, you must first apply and be admitted to the graduate program at Princeton University.

Recent Publications

Xie, Y., & Jamieson, K. (2022). NG-Scope: Fine-Grained Telemetry for NextG Cellular Networks. Proceedings Of The Acm On Measurement And Analysis Of Computing Systems, 6(1), 1 - 26. https://doi.org/10.1145/3508032
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Yi, F., Xie, Y., & Jamieson, K. (2021). Cellular-Assisted COVID-19 Contact Tracing. Proceedings of the 2nd Workshop on Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge Computing. Presented at the. New York, NY, USA: ACM. https://doi.org/10.1145/3469258.3469848
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Kasi, S., Warburton, P. A., Kaewell, J., & Jamieson, K. (2021). Challenge: A Cost and Power Feasibility Analysis of Quantum Annealing for NextG Cellular Wireless Networks. In cs:NI (No. 2109.01465). arXiv. Retrieved de arXiv website: https://arxiv.org/abs/2109.01465
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Kim, M., Kasi, S., Lott, A., Venturelli, D., Kaewell, J., & Jamieson, K. (2021). Invited Article: Heuristic Quantum Optimization for 6G Wireless Communications. Ieee Network, 35(4), 8 - 15. https://doi.org/10.1109/MNET.012.2000770 (Original work published Jan-07-2021)
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Yi, F., Xie, Y., & Jamieson, K. (2021). Invited Paper: The Case for Small-Scale, Mobile-Enhanced COVID-19 Epidemiology. 19th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt). Presented at the. Philadelphia, PA, USA: IEEE. https://doi.org/10.23919/WiOpt52861.2021.9589290
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