WINLAB Team receives NSF Next Era of Wireless and Spectrum (NewSpectrum) grant for Backscatter based Spectrum Awareness and Protection

A team of WINLAB researchers led by Professor Aggelos Bletsas (PI) along with co-PIs Distinguished Professor Narayan Mandayam (Director, WINLAB) and Ivan Seskar (Chief Technologist, WINLAB), are the recipients of…

Continue ReadingWINLAB Team receives NSF Next Era of Wireless and Spectrum (NewSpectrum) grant for Backscatter based Spectrum Awareness and Protection

Rutgers Joins NTIA Consortium to Lead the Next Generation of Wireless Network Innovation

As the wireless revolution continues to deliver higher networking speeds, more consistent connections, and increased capacity, the need for seamless integration of wireless technologies couldn’t be greater. As part of…

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WINLAB and Open Network Foundation Team receives an award from the Biden-Harris Administration’s Wireless Innovation Fund to improve 5G O-RAN Energy Efficiency

WINLAB in collaboration with the Open Network Foundation (ONF) is a recipient of an award for $1.97M announced as part of the second round of awards announced by the Biden-Harris…

Continue ReadingWINLAB and Open Network Foundation Team receives an award from the Biden-Harris Administration’s Wireless Innovation Fund to improve 5G O-RAN Energy Efficiency

WINLAB Chief Technologist Ivan Seskar in One of the Five Teams selected by NSF $25 Million investment to Secure 5G Technologies

WINLAB Chief Technologist Ivan Seskar is part of a team that received an NSF award for Securing 5G Networks. The U.S. National Science Foundation Directorate for Technology, Innovation and Partnerships (TIP)…

Continue ReadingWINLAB Chief Technologist Ivan Seskar in One of the Five Teams selected by NSF $25 Million investment to Secure 5G Technologies

SHF: Small: A General Framework for Accelerating AI on Resource-Constrained Edge Devices

Dates: 07/01/22 – 06/30/25Award Amount: $600,000.00 (FY2022), $16,000.00 (FY2023)Award #: 2211163PI: Yingying ChenCo-PIs: Narayan Mandayam, Waheed BajwaAbstract The upward trend of the pervasive usage of edge devices provides excellent opportunities…

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SWIFT: Intelligent Spatio-Temporal Metamaterial Massive MIMO Aperture Arrays with Hybrid Learning-based Channel Classifiers for Spectrum-Efficient Secured Wireless Communication

Dates: 10/01/22 – 09/30/25Award Amount:  $750,000.00Award #: 2229384PI: Chung-Tse WuCo-PIs: Narayan Mandayam, Waheed BajwaAbstract For the next-generation network systems, it is envisioned that billions of mobile and Internet-of-Things (IoT) devices…

Continue ReadingSWIFT: Intelligent Spatio-Temporal Metamaterial Massive MIMO Aperture Arrays with Hybrid Learning-based Channel Classifiers for Spectrum-Efficient Secured Wireless Communication

Collaborative Research: SII-NRDZ: Spectrum Sharing via Consumption Models and Telemetry – Prototyping and Field Testing in an Urban FCC Innovation Zone

Dates: 01/01/23 – 12/31/25Award Amount:  $290,000.00Award #: 2232459PI: Ivan SeskarCo-PIs: Dipankar RaychaudhuriAbstractThis project investigates ways to share the electromagnetic (radio-frequency) spectrum using an automatic spectrum management system with the potential…

Continue ReadingCollaborative Research: SII-NRDZ: Spectrum Sharing via Consumption Models and Telemetry – Prototyping and Field Testing in an Urban FCC Innovation Zone

FuSE-TG: Heterogeneous module, array antenna, and IC co-design for energy-efficient D-band wireless communications and radar

Dates: 06/15/23 – 05/31/25Award Amount:  $300,000.00Award #: 2235336PI: Wooram Lee (Penn State)Co-PIs: Mark Rodell, Chung-Tse Wu, Kevin uAbstractFuture wireless communication and radar technologies above 100 GHz will enable high-speed data…

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Collaborative Research: III: Small: Efficient and Robust Multi-model Data Analytics for Edge Computing

Dates: 09/01/23 – 08/31/26Award Amount:  $240,000.00Award #: 2311596PI:Yingying ChenCo-PIs: Abstract Many advanced edge-computing applications rely on large-scale data analysis for high-level decision-making. Edge computing makes computing faster and more efficient because…

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