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Award Abstract # 2030272
Collaborative Research: SWIFT: LARGE: DYNAmmWIC: Dynamic mmWave Spectrum Sharing Techniques for Public Safety Communications

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: BOARD OF REGENTS OF THE UNIVERSITY OF NEBRASKA
Initial Amendment Date: August 4, 2020
Latest Amendment Date: August 4, 2020
Award Number: 2030272
Award Instrument: Standard Grant
Program Manager: Hang Liu
haliu@nsf.gov
 (703)292-5139
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: January 1, 2021
End Date: December 31, 2025 (Estimated)
Total Intended Award Amount: $500,000.00
Total Awarded Amount to Date: $500,000.00
Funds Obligated to Date: FY 2020 = $500,000.00
History of Investigator:
  • Mehmet Vuran (Principal Investigator)
    mcvuran@cse.unl.edu
  • Jennifer Ryan (Co-Principal Investigator)
  • Demet Batur (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Nebraska-Lincoln
2200 VINE ST # 830861
LINCOLN
NE  US  68503-2427
(402)472-3171
Sponsor Congressional District: 01
Primary Place of Performance: University of Nebraska-Lincoln
151 Prem S. Paul Research Center
Lincoln
NE  US  68503-1435
Primary Place of Performance
Congressional District:
01
Unique Entity Identifier (UEI): HTQ6K6NJFHA6
Parent UEI:
NSF Program(s): SWIFT-Spectrum Innov Futr Tech,
Networking Technology and Syst
Primary Program Source: 01002021DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 096E, 105E, 9150
Program Element Code(s): 140Y00, 736300
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

The ongoing COVID-19 has, once more, highlighted the importance of public safety communications (PSC) in protecting public safety personnel and ensuring life-saving services. As 5G networks transition to higher frequencies, including the mmWave spectrum, integration of PSC solutions into this new spectrum becomes a challenge. Increased data rates, reduced delays, and improved density would lead to the realization of life-critical PSC use cases such as high-quality real-time video streaming and ultra-low-delay communication. These use cases increase the potential demand for PSC in the mmWave spectrum. Conventional spectrum management solutions, such as allocating dedicated PSC bands, are not sustainable. This project develops dynamic mmWave spectrum sharing solutions for public safety communications (DYNAmmWIC) to allow for novel PSC use cases in the mmWave spectrum and design the mmWave spectrum. This vision requires the coexistence of innovations in the radio, network operation management, and network architecture levels. The developed solutions in this project have the potential to fundamentally transform mmWave spectrum usage and accelerate the readiness of the wireless industry for 6G solutions while saving significant costs.

The project explores four main goals to provide a complete radar-5G-public safety communications (PSC) coexistence solution from radio hardware to the network architecture: (1) A joint-radar communication (JARC) system is developed by using the same waveform for both radar sensing and data transmission in commercial and public safety vehicles. (2) A mmWave spectrum sharing solution is developed to dynamically manage the coexistence of operations for PSC, radar sensing, 5G, and V2V communications, pedestrian access, and backhaul in the mmWave spectrum. (3) A novel mmWave next-generation radio access network (NG-RAN) architecture is developed, allowing higher RAN co-operation and integration through proven orchestration tools for rapid development iterations of solutions on a real testbed. (4) A comprehensive evaluation plan complements the developed techniques. The JARC system, implemented at OSU, will augment iLNK, a city-wide, remotely accessible wireless testbed. iLNK is developed at UNL in collaboration with the City of Lincoln, which has proven to be a valuable remote teaching tool during the COVID-19-related restrictions. PIs will work to roll-out educational modules that can be conducted on the remotely accessible iLNK testbed, lowering the barrier to wireless education. This project will be conducted by a highly diverse team of PIs with a long track record of productive collaboration and impacts on diversity. Proposed solutions are rigorously tested to demonstrate a next-generation PSC model to local and national stakeholders.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 13)
Hashir, S.M. and Camp, J and Vuran, M.C. "ECHO: Empirical Characterization and Height Optimization of UAV-to-Underground Channels" IEEE IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) , 2023 Citation Details
Nie, S. and Ge, Y. and Vuran, M. C. "On Crop Canopy Scattering for Integrated mmWave Sensing and Communication in Agricultural Fields" IEEE 20th International Conference on Mobile Ad-Hoc and Smart Systems (MASS) , 2023 Citation Details
Nie, Shuai and Ge, Yufeng and Vuran, Mehmet C. "On Crop Canopy Scattering for Integrated mmWave Sensing and Communication in Agricultural Fields" IEEE MASS 2023 , 2023 https://doi.org/10.1109/MASS58611.2023.00018 Citation Details
Nie, Shuai and Lunar, Mohammad Mosiur and Bai, Geng and Ge, Yufeng and Pitla, Santosh and Koksal, Can Emre and Vuran, Mehmet C. "mmWave on a Farm: Channel Modeling for Wireless Agricultural Networks at Broadband Millimeter-Wave Frequency" 2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) , 2022 https://doi.org/10.1109/SECON55815.2022.9918595 Citation Details
Nie, Shuai and Vuran, Mehmet Can "AgRIS: wind-adaptive wideband reconfigurable intelligent surfaces for resilient wireless agricultural networks at millimeter-wave spectrum" Frontiers in Communications and Networks , v.4 , 2023 https://doi.org/10.3389/frcmn.2023.1169266 Citation Details
Shin, Sangwon and Subedi, Prashant and Vuran, Mehmet C "Demo: Real-Time Spectrum Segmentation and Classification with Over-The-Air Data" , 2024 https://doi.org/10.1109/LCN60385.2024.10639720 Citation Details
Shin, Sangwon and Vuran, Mehmet C "GA-CRSK: Gradient Ascent Chirp Rate Shift Keying for High Data-Rate LoRa Communications" , 2024 https://doi.org/10.1109/ICCSPA61559.2024.10794377 Citation Details
Subedi, Prashant and Shin, Sangwon and Vuran, Mehmet C "Seek and Classify: End-to-end Joint Spectrum Segmentation and Classification for Multi-signal Wideband Spectrum Sensing" , 2024 https://doi.org/10.1109/LCN60385.2024.10639826 Citation Details
Thakshila_Wedage, Lasantha and Can_Vuran, Mehmet and Butler, Bernard and Koucheryavy, Yevgeni and Balasubramaniam, Sasitharan "Internet of Paint (IoP): Channel Modeling and Capacity Analysis for Terahertz Electromagnetic Nanonetworks Embedded in Paint" IEEE Journal on Selected Areas in Communications , v.42 , 2024 https://doi.org/10.1109/JSAC.2024.3399201 Citation Details
Vuran, Mehmet C. and Lunar, Mohammad Mosiur and Nie, Shuai and Ge, Yufeng and Pitla, Santosh and Bai, Geng and Koksal, Can Emre "Millimeter-Wave Agricultural Channel Measurements in Corn and Soybean Fields at Different Growth Stages" 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI) , 2022 https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9887346 Citation Details
Wedage, Lasantha T. and Butler, Bernard and Balasubramaniam, Sasitharan and Vuran, Mehmet C. and Koucheryavy, Yevgeni "Path Loss Analysis of Terahertz Communication in Mars' Atmospheric Conditions" 2022 IEEE International Conference on Communications Workshops (ICC Workshops) , 2022 https://doi.org/10.1109/ICCWorkshops53468.2022.9814599 Citation Details
(Showing: 1 - 10 of 13)

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