| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | April 3, 2017 |
| Latest Amendment Date: | April 3, 2017 |
| Award Number: | 1702850 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Alexander Sprintson
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | April 1, 2017 |
| End Date: | March 31, 2020 (Estimated) |
| Total Intended Award Amount: | $299,999.00 |
| Total Awarded Amount to Date: | $299,999.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
4300 MARTIN LUTHER KING BLVD HOUSTON TX US 77204-3067 (713)743-5773 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
Houston TX US 77204-2015 |
| 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): | Special Projects - CNS |
| Primary Program Source: |
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| 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
Internet of Things (IoT) has potential benefits and numerous applications, ranging from smart cities to assisted living. IoT is also expected to have many trillion dollars economic impact in the next decade. IoT is a network of physical objects, whose connectivity requires low power consumption, long battery life, low duty cycle and massive number of low cost devices. Based on the recently standardized Narrowband IoT (NB-IOT) technique for machine type communications, the proposed scheme targets adding low cost Ambient Re-Scatter (ARS) devices to an existing NB-IOT communication system, which can significantly improve the overall system capacity and the excess capacity can be shared between the NB-IOT and ARS systems. Hence, this project enables to integrate ultra-low power devices to the communication systems in spectral and energy efficient manners. Novel methods and transmission schemes allowing ARS devices to collaborate with each other and with other networks are also proposed. The success of this project will boost such ultra-low power IoT solutions. The transformative and interdisciplinary nature of the proposed research work will advance the knowledge of communications engineering, and the outcomes of the project can potentially be used by industry for network development and impact future industrial standardizations. This project will also strengthen collaboration in the research field of wireless communications between the United States and Finland.
This project targets enhancing IoT applications through constructing new efficient and secure IoT connectivity solutions by combining emerging machine type communication system with ultra-low power ARS devices via four synergistic thrusts: (1) communication system design and fundamental performance analysis, which will develop robust non-coherent methods that allow the network to communicate with ARS while transmitting data, develop signal processing methods for joint reception of network and ARS data at the receiver, and conduct exhaustive ray-tracing based simulations of the channel with ARS nodes and apply the results to identify feasible operation point for the system; (2) novel radio resource management schemes that exploit matching theory to develop high performance, low complexity, decentralized, and practical solutions in proposed NB-IoT with ARS; (3) security mechanisms for IoT deployment, which will cover both physical layer security in MIMO backscatter and low cost cyber security, considering the physical and low cost natures of the proposed system; (4) system and protocol development, which will demonstrate the applicability of the system design by building a test-bed that integrates the NB-IoT version of the LTE with ARS.
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.
Internet of Things (IoT) has potential benefits and numerous applications, ranging from smart cities to assisted living. IoT is also expectedto have many trillion dollars economic impact in the next decade. IoT is a network of physical objects, whose connectivity requires lowpower consumption, long battery life, low duty cycle and massive number of low cost devices. Based on the recently standardized Narrowband IoT (NB-IOT) technique for machine type communications, the project targets adding low cost Ambient Re-Scatter (ARS)devices to an existing NB-IOT communication system, which can significantly improve the overall system capacity and the excess capacitycan be shared between the NB-IOT and ARS systems.
In this project, multiple novel physical layer and MAC layer algorithms and designs have been developed to enable ARS devices to collaborate with each other and with other networks, in order to integrate ultra-low power devices to the communication systems in spectral and energy efficient manners. The research outcomes have the potential to boost such ultra-low power IoT solutions. Besides, the transformative and interdisciplinary nature of this project's research outcomes will advance the knowledge of wireless communications engineering, and can potentially be used by industry for network development and impact future industrial standardization. Correspondingly, the research outcomes have impact on people's daily lives and further provide greater opportunities for job creation and economic growth.
Together with a few NSF sponsored projects, this project has fully supported one male PhD student and partially supported female PhD students who have become major players in academia and telecommunications industries, and hence has trained next generation national work force. Particularly, one female students working on this project has graduated as PhD, and become a tenure-track assistant professor in Computer Science Department at San Francisco State University, continuing to train future engineers. The male and the other female PhD students sponsored by this project have both passed their PhD proposal exam, and continue working in telecommunications industry after their graduation. The results of this project have also been disseminated through publications in technical journals, keynote speeches and presentations at conferences, and invited talks at both national and international institutions.
Last Modified: 07/19/2020
Modified by: Miao Pan
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