Award Abstract # 1650685
EAGER: Collaborative Research: Lighting a Dark Fiber Experimental Research Network in Harlem

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
Initial Amendment Date: September 7, 2016
Latest Amendment Date: August 1, 2019
Award Number: 1650685
Award Instrument: Standard Grant
Program Manager: Ann Von Lehmen
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, 2019 (Estimated)
Total Intended Award Amount: $80,969.00
Total Awarded Amount to Date: $116,969.00
Funds Obligated to Date: FY 2016 = $80,969.00
FY 2018 = $26,000.00

FY 2019 = $10,000.00
History of Investigator:
  • Gil Zussman (Principal Investigator)
    gil@ee.columbia.edu
Recipient Sponsored Research Office: Columbia University
615 W 131ST ST
NEW YORK
NY  US  10027-7922
(212)854-6851
Sponsor Congressional District: 13
Primary Place of Performance: Columbia University
New York
NY  US  10027-6902
Primary Place of Performance
Congressional District:
13
Unique Entity Identifier (UEI): F4N1QNPB95M4
Parent UEI:
NSF Program(s): Special Projects - CNS,
Networking Technology and Syst
Primary Program Source: 01001617DB NSF RESEARCH & RELATED ACTIVIT
01001819DB NSF RESEARCH & RELATED ACTIVIT

01001920DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7218, 7363, 7916, 9251
Program Element Code(s): 171400, 736300
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

This project pursues a new and transformative experimental platform that combines intelligent and open, 'white box' capabilities spanning optical, wireless, and data networking in a research network deployed in Harlem, New York. Thereby, it brings advanced network research into one of the most dense urban areas. This research network will exist in parallel with the recently deployed LinkNYC network such that research elements can be flexibly introduced and studied independently or together. Two different experiments using combinations of programmable wireless, data, and optical interfaces will investigate the performance of this platform for use in smart city network research.

This project will enable research on smart city networks in a dense urban environment, where they are most needed. Furthermore, by placing the network in Harlem, the project will take a step toward bridging the digital divide. The advanced networking technologies will include a hub installation in the Harlem Gigabit Center, which is a community resource and innovation center. By partnering with Silicon Harlem, this project will engage the Harlem community in the development of this network and provide educational opportunities for the new Gigabit Center, area schools, and
education organizations.

The intellectual merits of this project include transformative advances in the study of metropolitan networks for smart communities and the Internet of Things. The project will uncover new ways to implement and evaluate networks in the field that include multiple software defined technologies based on optical, data, or wireless networking. The use of wavelength switching will be studied in real time on a metro network scale and in response to application and network requirements. Applications that involve multi-node multicast wireless and disaster response fiber reconfiguration will be evaluated using the multilayer white box network developed in this project.

The broader impacts include (i) development of a new testbed approach to investigating networks for smart cities and white box networking applications, (ii) support of bridging the digital divide by placing advanced network technologies in Harlem, (iii) engagement of the Harlem community in this network, and (iv) enriched educational experiences for multiple student populations.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 28)
Shengxiang Zhu, Craig L. "? Machine Learning Based Prediction of Erbium-Doped Fiber WDM Line Amplifier Gain Spectra" Wireless and Optical Communication Conference , 2018 Citation Details
Bejerano, Yigal and Raman, Chandru and Yu, Chun-Nam and Gupta, Varun and Gutterman, Craig and Young, Tomas and Infante, Hugo and Abdelmalek, Yousef and Zussman, Gil "DyMo: Dynamic monitoring of large scale LTE-Multicast systems" IEEE INFOCOM 2017 - IEEE Conference on Computer Communications , 2017 10.1109/INFOCOM.2017.8057043 Citation Details
Chen, Tingjun and Chen, Gregory and Jain, Saahil and Margolies, Robert and Grebla, Guy and Rubenstein, Dan and Zussman, Gil "Power-Aware Neighbor Discovery for Energy Harvesting Things: Demo Abstract" ACM SenSys'16, Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems , 2016 10.1145/2994551.2996538 Citation Details
Chen, Tingjun and Dastjerdi, Mahmood Baraani and Farkash, Guy and Zhou, Jin and Krishnaswamy, Harish and Zussman, Gil "Demo abstract: Open-access full-duplex wireless in the ORBIT testbed" IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) , 2018 10.1109/INFCOMW.2018.8406990 Citation Details
Chen, Tingjun and Dastjerdi, Mahmood Baraani and Krishnaswamy, Harish and Zussman, Gil "Wideband Full-Duplex Phased Array with Joint Transmit and Receive Beamforming: Optimization and Rate Gains" Mobihoc 19: The Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, July 25, 2019, Catania, Italy. , 2019 10.1145/3323679.3326534 Citation Details
Chen, Tingjun and Diakonikolas, Jelena and Ghaderi, Javad and Zussman, Gil "Fairness and Delay in Heterogeneous Half- and Full-Duplex Wireless Networks" Conference record - Asilomar Conference on Signals, Systems, & Computers , 2018 10.1109/ACSSC.2018.8645117 Citation Details
Chen, Tingjun and Kohli, Manav and Dai, Tianyi and Estigarribia, Angel Daniel and Chizhik, Dmitry and Du, Jinfeng and Feick, Rodolfo and Valenzuela, Reinaldo A. and Zussman, Gil "28 GHz Channel Measurements in the COSMOS Testbed Deployment Area" mmNets'19: Proceedings of the 3rd ACM Workshop on Millimeter-wave Networks and Sensing Systems , 2019 10.1145/3349624.3356770 Citation Details
Chen, Tingjun and Welles, Jackson and Kohli, Manav and Dastjerdi, Mahmood Baraani and Kolodziejski, Jakub and Sherman, Michael and Seskar, Ivan and Krishnaswamy, Harish and Zussman, Gil "Experimentation with Full-Duplex Wireless in the COSMOS Testbed" Conference: 2019 IEEE 27th International Conference on Network Protocols (ICNP) , 2019 10.1109/ICNP.2019.8888146 Citation Details
Craig Gutterman, Edward Grinshpun "RAN Resource Usage Prediction for a 5G Slice Broker" Mobihoc '19 , 2019 10.1145/3323679.3326521 Citation Details
Craig Gutterman, Katherine Guo "Requet: Real-Time QoE Detection for Encrypted YouTube Traffic" Multimedia systems , 2019 https://doi.org/10.1145/3304109.3306226 Citation Details
Gupta, Varun and Gutterman, Craig and Bejerano, Yigal and Zussman, Gil "Experimental Evaluation of Large Scale WiFi Multicast Rate Control" IEEE Transactions on Wireless Communications , v.17 , 2018 10.1109/TWC.2018.2791605 Citation Details
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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.

The project established a dark fiber smart city network testbed in the neighborhood of Harlem in New York City. Using dark fiber made available by the City of New York and ZenFi Networks, the testbed supports experimentation in the areas optical, wireless, and data networking. Testbed nodes include software defined networking (SDN) controllable disaggregated optical transmission and switching, radio, and data networking. These represent the latest technologies under development for 5G and beyond networks and smart city applications. The capabilities investigated here allow the network to be more flexible at handling the most demanding high speed, low latency applications. An SDN controller was developed and used for radio, optical, and data networking experiments including optical switching-based radio handover and full duplex radio experiments. This project advanced understanding of the use of more cost-effective disaggregated communication systems in heterogeneous technology environments, including RF and optical systems, under software defined networking control.

This project served as the pilot for the National Science Foundation COSMOS Platforms for Advanced Wireless Research testbed, successfully providing the following outcomes:

1) Proof of concept demonstration of whitebox SDN control of optical and wireless nodes communicating at distance over a dark fiber link in New York City.

2) Development of a SDN control plane for the control of optical system research in a smart city testbed and its integration into the COSMOS testbed.

3) Creation of a platform for developing machine learning algorithms using the testbed in New York City and its integration into the COSMOS testbed.

4) Integration of a second-generation open access full-duplex prototype with the optical network within the COSMOS testbed.

5) Education and awareness of smart city technologies and testbeds within the Harlem community through outreach activities with partner Silicon Harlem as well as within an extensive summer program for 20 teachers (where 4 teachers have been supported by supplements to this grant)

Integration and transfer of the groundwork technology development done in this project into the COSMOS testbed was fully completed. 

 


Last Modified: 03/22/2020
Modified by: Gil Zussman

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