
NSF Org: |
CNS Division Of Computer and Network Systems |
Recipient: |
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Initial Amendment Date: | June 22, 2016 |
Latest Amendment Date: | April 4, 2022 |
Award Number: | 1564148 |
Award Instrument: | Continuing Grant |
Program Manager: |
Murat Torlak
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
Start Date: | June 15, 2016 |
End Date: | May 31, 2023 (Estimated) |
Total Intended Award Amount: | $830,356.00 |
Total Awarded Amount to Date: | $1,011,594.00 |
Funds Obligated to Date: |
FY 2017 = $296,825.00 FY 2018 = $291,051.00 FY 2021 = $165,238.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
300 TURNER ST NW BLACKSBURG VA US 24060-3359 (540)231-5281 |
Sponsor Congressional District: |
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Primary Place of Performance: |
1145 Perry Street Blacksburg VA US 24061-0001 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
SII-Spectrum Innovation Initia, Special Projects - CNS, Networking Technology and Syst |
Primary Program Source: |
01001718DB NSF RESEARCH & RELATED ACTIVIT 01001819DB NSF RESEARCH & RELATED ACTIVIT 01002122DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.070 |
ABSTRACT
Since the introduction of cell phones, the demand on mobile data traffic has been continuously growing. The efficient utilization of the radio frequency spectrum and clever wireless network management are key for satisfying this traffic demand and spurring economic growth. It has been shown that spectrum can be more efficiently used when shared among users rather than licensed to specific users and communication systems. However, spectrum sharing technology and regulations are still in their infancy. In particular, the effect of radio receiver performance on spectrum regulation and management is not well understood and needs careful analysis, both theoretical and experimental. This project will derive the fundamental concepts and management strategies to educate students, researchers, regulators, standardization bodies and industry about the importance of characterizing receivers for a successful realization of dynamic spectrum access systems. The results of this research will increase social awareness about low-quality wireless devices and their implications on capacity and serve as an important step towards the healthy obsolescence of bad receivers from the market. This project aims to redefine the way we understand, design, and optimize the next generation wireless networks, which will have far reaching economic and social benefits.
Radio frequency (RF) receiver front ends are nonlinear systems that create inter-modulation distortion and, hence, can impair receiver performance by creating harmful cross-channel interference in non- intuitive ways. The need to better account for adjacent channel interference on network performance becomes indispensable with the advent of spectrum sharing between heterogeneous wireless systems, and for communication systems which exhibit poor selectivity, such as millimeter wave technology. This project addresses the technological challenges in receiver-centric wireless network design and management by providing a fundamental analysis that quantifies the implications of RF front end non-linearity on network performance, utilization, and fairness. The scientific merit of this project is to (1) derive fundamental models and metrics that characterize and quantify the implications of RF front ends on network performance; (2) develop a comprehensive wireless network management framework and strategies that account for the RF imperfections, transmit masks, and diversity of heterogeneous wireless devices; (3) establish fundamentals of nonlinear interference between symbols of adjacent channels for network-level nonlinear interference avoidance and cancellation; and (4) build a testbed for the validation of theoretical concepts. This testbed will enable further research and education beyond the project period and, together with the analytical framework, initiate the much-needed research on RF front end non-linearity-aware network design and management for high-performance next generation wireless networks.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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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.
Wireless devices like cell phones, tablets, and laptops contain radios that the devices use to connect to the Internet and other devices. The connections are made through wireless networks, for example, cellular and Wi-Fi networks. The radios include both transmitters and receivers. Although radio transmitters are regulated, performance of the receivers in the radios is also an important limiting factor in the overall performance of wireless networks. The performance of a receiver determines how close in frequency it can be to other signals while still receiving a desired signal, which carries the voice, data, or video that are needed by the user of the device that contains the receiver. Receiver performance is primarily determined by the radio frequency (RF) front end of the receiver. The RF front end is a sequence of analog electronic components that process received signals before they are converted to a digital form.
Some characteristics of receiver RF front ends are nonlinear, which means that a small change in the power of signals on nearby frequencies can cause a large change in the ability of a receiver to receive a desired signal. This is important because even if some of the receivers in devices like cell phones that use a wireless network have high-performance receivers, other devices that use the network may have less well-designed and lower-performing receivers. Devices with these lower-quality receivers will be unable to communicate when other devices use nearby frequencies in the same area, and the whole network will be less efficient. However, the performance of the network could still be improved by understanding what devices are using it and how well their receiver RF front ends perform and by managing the use of frequencies within the network to achieve good performance in spite of variations in receiver quality among devices that use the network.
In this project, researchers developed equations that describe the performance of a receiver in a band of radio frequencies used by other signals. The equations can be used to calculate an estimated upper bound, or speed limit, for the data rate that a receiver can achieve under a given set of conditions. The researchers also developed approaches for efficiently using frequencies and other resources in a wireless system based on knowledge of each receiver's performance. The researchers used the results to study receiver effects on wireless communication systems that use both 4G and 5G cellular standards, future cellular systems that will use 5G and 6G standards, and coexistence between wireless communication systems and radars that operate in a shared RF band or range of radio frequencies.
Researchers who worked on the project shared their results through multiple peer-reviewed journal and conference papers, as well as tutorial sessions at conferences and other presentations. In 2022, results from the project were included in response to a Notice of Inquiry by the Federal Communications Commission (FCC) to gather information so that the FCC can consider the effects of receiver performance as it makes rules for wireless systems in the future. The research team developed over 200 slides, plus interactive web-based simulations, for teaching and learning about project results. These learning resources will be available on the internet under open-source licenses.
Last Modified: 08/15/2023
Modified by: Carl B Dietrich
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