PAWS

Mission : Explore Our Research

The interdisciplinary Princeton Advanced Wireless Systems Lab designs, builds, and evaluates wireless systems, innovating in networking, sensing, and computation.

Research Highlights

Research Article: Cross-Link Channel Prediction for Massive IoT Networks : Article

Leveraging Machine Learning techniques in large IoT networks to predict the wireless channel of one link based on observations from others (Best Paper Award, ACM MobiHoc '23)
Research Article: Taming Swipe Uncertainty for Robust Short Video Streaming (Dashlet) : Article

The Dashlet Short Video Streaming system models users’ interactions with short videos to improve quality of experience (USENIX NSDI '23)
Research Article: Smart Surfaces for NextG mmWave (mmWall) : Article

An electronically-reconfigurable metamaterial surface for fast mmWave beam relay (USENIX NSDI '23)
DARPA QuICC: CMOS-Coupled Oscillator Optimization (COBI) : News Article

PAWS is developing NextG algorithms to run on COBI (Univ. of Minnesota) oscillator hardware, in the DARPA Quantum-Inspired Classical Computing (QuICC) program.
NSF IMR: MT: NG-Scope: Fine-Grained NextG Cellular Telemetry : Project Page

Investigating fine-grained NextG cellular RAN telemetry for better end-to-end application performance and enhanced network measurement.

News Highlights

Recent awards and milestones for the people working and studying at Princeton Advanced Wireless Systems.

Thesis Defense: Congratulations, Dr Srikar Kasi *24!

Aug. 7, 2024

PAWS Student Kun Woo Cho wins School of Engineering and Applied Science Award for Excellence

Nov. 10, 2023

Cross-Link Channel Prediction Paper wins ACM MobiHoc '23 Best Paper Award

Oct. 26, 2023

Thesis Defense: Congratulations, Dr Minsung Kim *23!

Oct. 3, 2023

Minsung Kim wins Siebel Scholars Award (Class of 2024)

Sept. 23, 2023

Collection Tree Protocol wins the 2022 ACM SenSys Test-of-Time Award

Nov. 8, 2022

View All News

Publication Highlights

Recent and selected publications from the PAWS lab.

Envisioned QA deployment scenario in a Centralized RAN BBU

A Cost and Power Feasibility Analysis of Quantum Annealing for NextG Cellular Wireless Networks

Srikar Kasi, P.A. Warburton, John Kaewell, Kyle Jamieson

2023

Cross-Link Channel Prediction for Massive IoT Networks

Kun Woo Cho, Marco Cominelli, Francesco Gringoli, Joerg Widmer, Kyle Jamieson

2023

Regularisation improves search by avoiding sub-optimal local minima

Regularized Ising Formulation for Near-Optimal MIMO Detection using Quantum Inspired Solvers

Abhishek Singh, Kyle Jamieson, Peter McMahon, Davide Venturelli

2022

View All Publications

Join us at the PAWS Lab! : Apply

We seek prospective graduate students with an interest in working on challenging, practical open problems in wireless networks, systems, and sensing.
Open Positions at PAWS : Apply

Interested in working on challenging, practical open research problems in wireless networks, systems, and sensing as a graduate student? Apply today!