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Award Abstract # 1564148
NeTS: Medium: Implications of Receiver RF Front End Nonlinearity on Network Performance: Fundamentals, Limitations, and Management Strategies

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY
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 2016 = $258,480.00
FY 2017 = $296,825.00

FY 2018 = $291,051.00

FY 2021 = $165,238.00
History of Investigator:
  • Jeffrey Reed (Principal Investigator)
    reedjh@vt.edu
  • Carl Dietrich (Co-Principal Investigator)
  • Vuk Marojevic (Co-Principal Investigator)
  • Allen MacKenzie (Former 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
1145 Perry Street
Blacksburg
VA  US  24061-0001
Primary Place of Performance
Congressional District:
09
Unique Entity Identifier (UEI): QDE5UHE5XD16
Parent UEI: X6KEFGLHSJX7
NSF Program(s): SII-Spectrum Innovation Initia,
Special Projects - CNS,
Networking Technology and Syst
Primary Program Source: 01001617DB NSF RESEARCH & RELATED ACTIVIT
01001718DB NSF RESEARCH & RELATED ACTIVIT

01001819DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 4650, 7361, 7363, 7924, 9251
Program Element Code(s): 151Y00, 171400, 736300
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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(Showing: 1 - 10 of 26)
Aditya V. Padaki, Ravi Tandon, and Jeffrey H. Reed "On Adjacent Channel Co-existence with Receiver Nonlinearity" IEEE Transactions on Wireless Communications , 2018
Aditya V. Padaki, Ravi Tandon, Jeffrey H. Reed "On Scalability and Interference Avoidance in Nonlinear Adjacent Channel Interference Networks" IEEE International Conference on Communications , 2017
Amr Nabil, Aditya Padaki, Mohammad Abdel-Rahman, Mustafa ElNainay, Allen B. MacKenzie, Jeff Reed "On Optimal Resource Allocation in Multi-RAT Wireless Networks with Receiver Characteristic Awareness" IEEE Transactions on Cognitive Communications and Networking , v.5 , 2019 2332-7731
Amr Nabil, Aditya V. Padaki, Mohammad J. Abdel-Rahman, Allen MacKenzie, Jeffrey H. Reed "Receiver Characteristic Aware Optimal Resource Allocation in Multi-RAT Wireless Networks" IEEE International Symposium on Personal, Indoor and Mobile Radio Communications , 2017
A. Nabil, A. V. Padaki, M. J. Abdel-Rahman, M. ElNainay, A. B. MacKenzie and J. H. Reed "On Optimal Resource Allocation in Multi-RAT Wireless Networks With Receiver Characteristic Awareness" IEEE Transactions on Cognitive Communications and Networking , v.5 , 2019 , p.103-118
A. V. Padaki, R. Tandon and J. H. Reed "Efficient Spectrum Access and Co-Existence with Receiver Nonlinearity: Frameworks and Algorithms" IEEE Transactions on Wireless Communications , v.17 , 2018 , p.6404-6418
A. V. Padaki, R. Tandon and J. H. Reed "On Adjacent Channel Co-Existence With Receiver Nonlinearity" IEEE Transactions on Wireless Communications , v.17 , 2018 , p.4922-4936
H. Mohammadi, W. AlQwider, T. F. Rahman, V. Marojevic "AI-Driven Demodulators for Nonlinear Receivers in Shared Spectrum with High-Power Blockers" 2022 IEEE Wireless Communications and Networking Conference (WCNC) , 2022 , p.644 10.1109/WCNC51071.2022.9771613
Marojevic, Vuk and Kikamaze, Shem and Nealy, Randall and Dietrich, Carl "5G-CORNET: Platform as a Service" IEEE 5G World Forum 2018 , 2018 Citation Details
Miao Yao, Munawwar Sohul, Randall Nealy, Vuk Marojevic and Jeffrey Reed "A Digital Predistortion Scheme ExploitingDegrees-of-Freedom for Massive MIMO Systems" 2018 IEEE International Conference on Communications (ICC2018) , 2018
Mohammadi, Hossein and AlQwider, Walaa and Rahman, Talha Faizur and Marojevic, Vuk "AI-Driven Demodulators for Nonlinear Receivers in Shared Spectrum with High-Power Blockers" 2022 IEEE Wireless Communications and Networking Conference (WCNC) , 2022 https://doi.org/10.1109/WCNC51071.2022.9771613 Citation Details
(Showing: 1 - 10 of 26)

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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