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Award Abstract # 1642873
EARS: Toward Harmonious Coexistence of Heterogeneous Wireless Services

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY
Initial Amendment Date: September 14, 2016
Latest Amendment Date: May 8, 2017
Award Number: 1642873
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, 2016
End Date: September 30, 2021 (Estimated)
Total Intended Award Amount: $1,200,000.00
Total Awarded Amount to Date: $1,216,000.00
Funds Obligated to Date: FY 2016 = $1,200,000.00
FY 2017 = $16,000.00
History of Investigator:
  • Jeffrey Reed (Principal Investigator)
    reedjh@vt.edu
  • Thomas Hou (Co-Principal Investigator)
  • Carl Dietrich (Co-Principal Investigator)
Recipient Sponsored Research Office: Virginia Polytechnic Institute and State University
300 TURNER ST NW
BLACKSBURG
VA  US  24060-3359
(540)231-5281
Sponsor Congressional District: 09
Primary Place of Performance: Virginia Polytechnic Institute and State University
Blacksburg
VA  US  24061-0001
Primary Place of Performance
Congressional District:
09
Unique Entity Identifier (UEI): QDE5UHE5XD16
Parent UEI: X6KEFGLHSJX7
NSF Program(s): Special Projects - CNS,
EARS
Primary Program Source: 01001617DB NSF RESEARCH & RELATED ACTIVIT
01001718DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7363, 7976, 9251
Program Element Code(s): 171400, 797600
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

The radio frequency spectrum that can be used for wireless communications is a finite but extremely valuable resource. With the proliferation of new wireless applications, the use of the radio spectrum has intensified to the point that there is a critical need of new spectrum-sharing mechanisms and improved spectrum policies. In the recent NSF workshop report on Enhancing Access to the Radio Spectrum (EARS), several Grand Challenges are outlined for the research community to realize the vision of enhancing the efficiency of future spectrum use. One of the Grand Challenges is harmonious co-existence of heterogeneous wireless technologies, with the goal of accommodating multiple wireless access technologies that would operate in the same radio spectrum band. The proposed research addresses the co-existence Grand Challenge by investigating the following three tightly-coupled research areas: (1) Coexistence between Wi-Fi and cellular on unlicensed bands; (2) Coexistence of radar and cellular on radar bands; and (3) New software and hardware testbeds for coexistence. The proposed research activities will catalyze broader impact activities in multiple dimensions: (1) improving and influencing future spectrum policies by the government; (2) transitioning technologies to industry; (3) developing new education materials and software tools to be used in classroom; and (4) attracting and engaging students, particularly female and under-represented students in spectrum-sharing research activities.

The proposed research addresses the coexistence Grand Challenge by tackling two of the most popular wireless services (Wi-Fi and cellular) on radio spectrum bands. The proposed research on coexistence between Wi-Fi and cellular on unlicensed bands takes a new approach to resolve the potential conflict between the two technologies by shifting focus to the user side and maximizing total user satisfaction. The research on coexistence between radar and cellular on the radar bands explores the largely untapped radar spectrum that the government is considering for coexistence. The proposed architecture goes well beyond the current Spectrum Access Server concept by considering some unique characteristics and challenges associated with radar systems. New software and hardware testbeds will be developed to offer the much-needed facility for the research community for validation and experimentation of new approaches for coexistence. The outcomes of the research will be shared with government and regulatory agencies to help improve spectrum policies, which are crucial to enable the proposed new coexistence technologies to make impacts in the real world.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 19)
Carrick, Matt and Reed, Jeffrey H. "EXPLOITING THE CYCLOSTATIONARITY OF RADAR CHIRP SIGNALS WITH TIME-VARYING FILTERS" 2017 5th IEEE Global Conference on Signal and Information Processing , 2017 Citation Details
Dietrich, C. B. and Polys, N. F. and Reid, K. and García Sheridan, J. A. and Emenonye, D. and Gomez, X. and Tolley, J. and Makin, C. and Gaeddert, J. "Work in Progress: Interactive Introductory Online Modules on Wireless Communications and Radio-frequency Spectrum Sharing" ASEE Annual Conference proceedings , 2021 Citation Details
Huang, Yan and Chen, Yongce and Hou, Y. Thomas and Lou, Wenjing "Achieving Fair LTE/Wi-Fi Coexistence with Real-Time Scheduling" IEEE Transactions on Cognitive Communications and Networking , v.6 , 2020 10.1109/TCCN.2019.2957076 Citation Details
Huang, Yan and Chen, Yongce and Hou, Y. Thomas and Lou, Wenjing "CURT: A Real-Time Scheduling Algorithm for Coexistence of LTE and Wi-Fi in Unlicensed Spectrum" IEEE International Symposium on Dynamic Spectrum Access Networks , 2018 10.1109/DySPAN.2018.8610476 Citation Details
Huang, Yan and Chen, Yongce and Hou, Y. Thomas and Lou, Wenjing and Reed, Jeffrey H. "Recent Advances of LTE/WiFi Coexistence in Unlicensed Spectrum" IEEE Network , v.32 , 2018 10.1109/MNET.2017.1700124 Citation Details
Kikamaze, Shem and Marojevic, Vuk and Dietrich, Carl "Demo: Spectrum Access System on Cognitive Radio Network Testbed" ACM WiNTECH , 2017 Citation Details
Lichtman, Marc and Rao, Raghunandan and Marojevic, Vuk and Reed, Jeffrey "5G NR Jamming, Spoofing, and Sniffing: Threat Assessment and Mitigation" IEEE International Conference on Communications workshops , 2018 Citation Details
Li, Shaoran and Huang, Yan and Li, Chengzhang and Jalaian, Brian A. and Hou, Y. Thomas and Lou, Wenjing "Coping Uncertainty in Coexistence via Exploitation of Interference Threshold Violation" Proc. Twentieth International Symposium on Mobile Ad Hoc Networking and Computing , 2019 10.1145/3323679.3326505 Citation Details
Li, Shaoran and Huang, Yan and Li, Chengzhang and Jalaian, Brian A. and Hou, Y. Thomas and Lou, Wenjing and Russell, Stephen "Maximize Spectrum Efficiency in Underlay Coexistence With Channel Uncertainty" IEEE/ACM Transactions on Networking , v.29 , 2021 https://doi.org/10.1109/TNET.2020.3047760 Citation Details
Marojevic, Vuk and Chheda, Deven and Rao, Raghunandan M. and Nealy, Randall and Park, Jung-Min and Reed, Jeffrey H. "Software-Defined LTE Evolution Testbed Enabling Rapid Prototyping and Controlled Experimentation" 2017 IEEE Wireless Communications and Networking Conference (WCNC) , 2017 10.1109/WCNC.2017.7925757 Citation Details
Marojevic, Vuk and Nealy, Randall and Reed, Jeffrey H. "LTE Spectrum Sharing Research Testbed: Integrated Hardware, Software, Network and Data" ACM WiNTECH 2017 , 2017 https://doi.org/10.1145/3131473.3131484 Citation Details
(Showing: 1 - 10 of 19)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Spectrum sharing allows two or more different kinds of wireless technologies, such as Wi-Fi and cellular or radar and cellular, to coexist in the same radio frequency band. Spectrum sharing can be an efficient way to provide services using limited spectrum resources. However, there are many challenges to a harmonious existence in the same spectrum. This project focuses on addressing some of the most important problems among these challenges.

Major efforts within the project include studying spectrum sharing between Wi-Fi and cellular systems in radio frequency bands that can be used without a license as well as spectrum sharing between radar and cellular systems on frequencies that were formerly used only by radar systems. In addition, the project aims to develop software and hardware testbeds that can be used to run wireless coexistence experiments, with the goal of evaluating different approaches to spectrum sharing. Faculty members who worked on the project have engaged with government and regulatory agencies to develop and improve spectrum policies, which are crucial to enable new technologies to benefit from spectrum sharing and to make impacts in the real world.

The topics addressed by the project include using 5G base stations in picocells (that serve users in a very small area) in places within “macrocells” (larger areas served by other 5G base stations) when both the picocells and macrocell share the same range of frequencies.  Additional topics are related to addressing uncertainty that happens in the quality of the radio channels between high-priority (primary) and lower-priority (secondary) radio frequency spectrum users. The project also developed an open source spectrum access system (SAS).  The SAS is an automatic frequency coordination system that helps ensure that secondary users do not interfere with signals sent and received by primary users. The project also helped to increase Virginia Tech's capability to support spectrum-sharing experimentation.  

The project team developed a novel scheduler called GPU-based Underlay Coexistence (GUC) that can find a near-optimal solution in real-time. GPUs are graphics cards that can perform large scale parallel computations very quickly for graphics.  However, GPUs can also be used for other purposes, including finding the best, or at least a very good, solution to schedule times and frequencies to users so that they use the band efficiently and with very little interference.

The project developed a RAN Intelligent Controller (RIC) for O-RAN (Open Radio Access Network). This RIC will help Virginia Tech run spectrum-sharing experiments in its testbeds. The project also developed a SAS (https://github.com/vtwireless/SAS). Initial frequency assignment simulations and newer versions under development are available at the same web address.    The project developed another simulation that uses machine learning for frequency selection in a shared radio frequency band (https://vtwireless.github.io/HLSI/18_machine_learning_time_based_avoidance.html, source code at https://github.com/vtwireless/HLSI). The simulation runs in a web browser and lets users select and run different programs to find unused frequencies. Users can also write and test their own programs on the simulation web page. Also, a student wrote a thesis on ways to share frequencies while protecting potentially sensitive information about primary users like military radars (https://vtechworks.lib.vt.edu/bitstream/handle/10919/104015/Makin_C_T_2021.pdf).

The PI/Co-PIs have been sharing research results through major conferences and journals (https://www.ears.radiospectrum.wireless.vt.edu/publications.html). The investigators also actively engaged with government agencies to help shape future spectrum policies and regulations. Some recent activities include:

  • Invited presentation by Dr. Reed to the WSRD meeting (with federal spectrum managers from across agencies) on non-terrestrial networks and issues associated with 5G system.
  • Invited presentation by Dr. Reed to the WSRD meeting on the impact of 6G on spectrum usage.
  • Invited participation of Dr. Reed in a National Academies of Engineering, Science, and Medicine committee to review interference issues associated with Legado and GPS.
  • Ongoing discussions with NTIA and FCC to develop a program for student research internships at these agencies.

The open-source SAS serves as a resource for research both within and beyond Virginia Tech.  The Radio Access Network (RAN) Intelligent Controller (RIC) for Open-RAN (O-RAN) facilitates future spectrum-sharing experimentation. The SAS and simulations are being integrated into CEU courses to be offered by Virginia Tech's Continuing and Professional Education office.  Parts of the CEU courses will be available for use in regular courses at Virginia Tech and elsewhere.


Last Modified: 02/04/2022
Modified by: Carl B Dietrich

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