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Award Abstract # 2211944
Collaborative Research: CNS Core: Medium: Softwarizing Millimeter-wave Radio Access Networks (RANs) at the Edge

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: DUKE UNIVERSITY
Initial Amendment Date: August 30, 2022
Latest Amendment Date: July 21, 2023
Award Number: 2211944
Award Instrument: Standard Grant
Program Manager: Alhussein Abouzeid
aabouzei@nsf.gov
 (703)292-7855
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: October 1, 2022
End Date: September 30, 2025 (Estimated)
Total Intended Award Amount: $500,000.00
Total Awarded Amount to Date: $550,000.00
Funds Obligated to Date: FY 2022 = $500,000.00
FY 2023 = $50,000.00
History of Investigator:
  • Tingjun Chen (Principal Investigator)
    tingjun.chen@duke.edu
Recipient Sponsored Research Office: Duke University
2200 W MAIN ST
DURHAM
NC  US  27705-4640
(919)684-3030
Sponsor Congressional District: 04
Primary Place of Performance: Duke University
2200 W. Main St, Suite 710
Durham
NC  US  27705-4010
Primary Place of Performance
Congressional District:
04
Unique Entity Identifier (UEI): TP7EK8DZV6N5
Parent UEI:
NSF Program(s): Networking Technology and Syst
Primary Program Source: 01002223DB NSF RESEARCH & RELATED ACTIVIT
01002324DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 044Z, 7924
Program Element Code(s): 736300
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

Emerging applications in augmented reality, connected autonomous vehicles, and industrial IoT systems impose demanding requirements on next-generation mobile networks that can hardly be met alone with radio resources below 7 GHz. Therefore, 5G and beyond networks have embraced radios operating in millimeter-wave (mmWave) frequency bands, which offer 25 times or more bandwidth worldwide. On the other hand, mmWave radio networks require the dense deployment of infrastructure nodes to achieve desirable coverage, because mmWave radio signals suffer from high propagation loss and are vulnerable to blockage and mobility. Unfortunately, mmWave infrastructure nodes, e.g., gNodeB in 5G, are made of specialized, dedicated hardware and as a result, their dense deployment would incur formidable capital and operational cost. The goal of the proposed project is to reduce the cost of mmWave radio infrastructure nodes by softwarizing their radio access network (RAN) functions and serving them from data centers close to end users, i.e., edge data centers, therefore facilitating network densification. More importantly, it will allow for previously impossible flexibility in network implementation and configuration as well as efficiency in resource allocation across the network and the edge data center. At the societal level, this project will fuel the ongoing revolution of mobile network virtualization and accelerate the development and deployment of next-generation network systems.

The key insight toward addressing the challenges associated with softwarizing mmWave RANs at the edge is to exploit the massive data parallelism inside the mmWave baseband and its inherent structures, with programmable hardware in all domains. The project targets the following scientific contributions in three interrelated research thrusts. (i) A low-latency software realization of the mmWave physical layer for commodity server clusters suitable for edge deployment. (ii) Adaptive RAN configuration and in-network compression schemes that cope with the limited fronthaul capacity in practice, without substantially increasing the cost of mmWave infrastructure nodes. (iii) Novel sensing and imaging schemes based on mmWave radio signals intended for communications. These include sensing with a single mmWave infrastructure node and sensing that leverages multiple coordinated mmWave nodes to achieve previously impossible coverage and resolution.

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 21)
Adhikari, Abhishek and Hermstein, Kevin and Wu, Yonghua and Legbandt, Thomas and Bastidas, Carlos Caicedo and Chen, Tingjun and Moshary, Fred and Seskar, Ivan and Zussman, Gil "28 GHz Phased Array Interference Measurements and Modeling for a NOAA Microwave Radiometer in Manhattan" , 2024 https://doi.org/10.1145/3636534.3697463 Citation Details
Cheng, Wei and Gao, Zhihui and Chen, Tingjun "Real-time Wideband Software-defined Radio with Python Programmability based on RFSoC" , 2024 https://doi.org/10.1145/3636534.3698855 Citation Details
Cheng, Wei and Gao, Zhihui and Chen, Tingjun "SPEAR: Software-defined Python-Enhanced RFSoC for Wideband Radio Applications" , 2024 https://doi.org/10.1145/3636534.3697310 Citation Details
Chen, Tingjun and Maddala, Prasanthi and Skrimponis, Panagiotis and Kolodziejski, Jakub and Adhikari, Abhishek and Hu, Hang and Gao, Zhihui and Paidimarri, Arun and Valdes-Garcia, Alberto and Lee, Myung and Rangan, Sundeep and Zussman, Gil and Seskar, Iva "Open-access millimeter-wave software-defined radios in the PAWR COSMOS testbed: Design, deployment, and experimentation" Computer Networks , v.234 , 2023 https://doi.org/10.1016/j.comnet.2023.109922 Citation Details
Gao, Zhihui and Qi, Zhenzhou and Chen, Tingjun "Mambas: Maneuvering Analog Multi-User Beamforming using an Array of Subarrays in mmWave Networks" , 2024 https://doi.org/10.1145/3636534.3649390 Citation Details
Huang, Yue-Kai and Wang, Zehao and Ip, Ezra and Qi, Zhenzhou and Zussman, Gil and Kilper, Dan and Asahi, Koji and Kageshima, Hideo and Aono, Yoshiaki and Chen, Tingjun "Field Trial of Coexistence and Simultaneous Switching of Real-time Fiber Sensing and 400GbE Supporting DCI and 5G Mobile Services" IEEE/Optica Optical Fiber Communication Conference (OFC23) , 2023 https://doi.org/10.1364/OFC.2023.W3H.4 Citation Details
Hunt, David and Luo, Shaocheng and Khazraei, Amir and Zhang, Xiao and Hallyburton, Spencer and Chen, Tingjun and Pajic, Miroslav "RadCloud: Real-Time High-Resolution Point Cloud Generation Using Low-Cost mmWave Radars for Aerial and Ground Vehicles" , 2024 https://doi.org/10.1145/3636534.3698849 Citation Details
Hunt, David and Luo, Shaocheng and Khazraei, Amir and Zhang, Xiao and Hallyburton, Spencer and Chen, Tingjun and Pajic, Miroslav "RadCloud: Real-Time High-Resolution Point Cloud Generation Using Low-Cost Radars for Aerial and Ground Vehicles" , 2024 https://doi.org/10.1109/ICRA57147.2024.10610839 Citation Details
Li, Yiming and Li, Zeyu and Gao, Zhihui and Chen, Tingjun "Geo2SigMap: High-Fidelity RF Signal Mapping Using Geographic Databases" , 2024 https://doi.org/10.1109/DySPAN60163.2024.10632773 Citation Details
Maddala, Prasanthi and Kolodziejski, Jakub and Adhikari, Abhishek and Hermstein, Kevin and Chen, David and Zhu, Liao and Chen, Tingjun and Seskar, Ivan and Zussman, Gil "Demo: Experimentation with Mobile 28 GHz Phased Array Antenna Modules" , 2024 https://doi.org/10.1145/3636534.3698841 Citation Details
Mano, Toru and Ferreira de Lima, Thomas and Huang, Yue-Kai and Wang, Zehao and Ishida, Wataru and Ip, Ezra and DAmico, Andrea and Okamoto, Seiji and Inoue, Takeru and Nishizawa, Hideki and Curri, Vittorio and Zussman, Gil and Kilper, Daniel and Chen, Tin "First Field Demonstration of Automatic WDM Optical Path Provisioning Over Alien Access Links for Data Center Exchange" European Conference on Optical Communication (ECOC23) , 2023 Citation Details
(Showing: 1 - 10 of 21)

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