Award Abstract # 1012831
NetSE: Large: Urban-Scale Polymorphic Wireless Networks: Community-Driven Assessment, Design, and Access

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: WILLIAM MARSH RICE UNIVERSITY
Initial Amendment Date: August 27, 2010
Latest Amendment Date: February 28, 2012
Award Number: 1012831
Award Instrument: Standard Grant
Program Manager: Darleen Fisher
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: September 1, 2010
End Date: August 31, 2016 (Estimated)
Total Intended Award Amount: $1,800,000.00
Total Awarded Amount to Date: $1,832,000.00
Funds Obligated to Date: FY 2010 = $1,800,000.00
FY 2011 = $16,000.00

FY 2012 = $16,000.00
History of Investigator:
  • Edward Knightly (Principal Investigator)
    knightly@rice.edu
  • Robert Stein (Co-Principal Investigator)
  • Lin Zhong (Co-Principal Investigator)
  • William Reed (Co-Principal Investigator)
Recipient Sponsored Research Office: William Marsh Rice University
6100 MAIN ST
Houston
TX  US  77005-1827
(713)348-4820
Sponsor Congressional District: 09
Primary Place of Performance: William Marsh Rice University
6100 MAIN ST
Houston
TX  US  77005-1827
Primary Place of Performance
Congressional District:
09
Unique Entity Identifier (UEI): K51LECU1G8N3
Parent UEI:
NSF Program(s): Special Projects - CNS,
NETWORK SCIENCE & ENGINEERING
Primary Program Source: 01001011DB NSF RESEARCH & RELATED ACTIVIT
01001112DB NSF RESEARCH & RELATED ACTIVIT

01001213DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7794, 7925, 9178, 9251
Program Element Code(s): 171400, 779400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

Intellectual Merit. This project will develop the world?s first urban polymorphic wireless access network, a network that can radically transform its basic properties on-the-fly. A key step is deployment of infrastructure and client nodes that can access diverse spectral ranges spanning from MHz to GHz. This unique capability in spectrum access enables revisiting the foundations of network assessment, design, and access. This experimental approach capitalizes on an unprecedented opportunity in an urban community within Houston: In Pecan Park, an underserved community, the project team will serve as researchers, the wireless network service provider, the network equipment and protocol designers, and community-technology educators and advocates. In a coordinated effort using this urban testbed, the project addresses the following three inter-related research thrusts:

CACTUS: cross sectional assessment of community and technology usage: development of a first-of-its-kind network assessment tool that integrates three new methods with existing network trace collection capabilities: (i) sociological assessment of community-technology wireless access objectives from perspectives of both usage and contribution to a collective good; (ii) in-situ user experience assessment via end-user reporting; and (iii) concurrent in-situ client performance tests instantiated remotely by the network operator.

PAWN: polymorphic architecture for wireless networks: employing an urban deployment of nodes that can access spectrum spanning an order of magnitude from 5 GHz to 500 MHz in the Digital TV white spaces range, the project will (i) develop foundations and tools for dynamic network architecture based on assessment of community objectives and usage; (ii) develop foundations and tools for ?green wireless,? energy-efficient architectures which power down low-usage nodes but retain coverage through spectrum adaptation; and (iii) develop foundations and tools for spectrum-driven mobility management, in which highly mobile clients exploit nodes with large spatial footprints (enabled by low spectral ranges) to obtain a performance-velocity profile that was previously impossible.

CODA: context-driven network access: exploiting CACTUS and context awareness, the project will (i) develop context-driven quality estimation of current and future association choices to a polymorphic wireless network and devise client-directed policies for a client to optimize efficiency, performance, and mobility of association; and (ii) design and realize a polymorphic aggregate network interface that dynamically aggregates packets from multiple network interfaces of multiple spectral bands. Using this mechanism and context-awareness, we will study interface selection and traffic allocation for a client to obtain its required performance with unprecedented efficiency.

Broader Impact. With a strong interdisciplinary nature, this project will develop new research methods and yield foundational findings for areas spanning wireless networking to social sciences. The deployment in a low-income community provides access to information technologies for its residents. It will produce lessons and insights for future deployments of wireless infrastructures in other urban communities, including underserved ones, both nationally and internationally. The unique use of DTV white spaces can guide future FCC policy decisions. The project will provide research opportunities for undergraduate and graduate students from a variety of disciplines. It will also produce educational content that can significantly enrich our curricula in multiple disciplines. The project will continue to produce publicly available data sets that have already been utilized by researchers world-wide. The data sets are unique in that they provide unprecedented access to all system components from the end-user to the network.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

Note:  When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

(Showing: 1 - 10 of 18)
Ahmad Rahmati and Lin Zhong "Context-based network estimation for energy efficient ubiquitous wireless connectivity" IEEE Transactions on Mobile Computing , 2011
Ahmad Rahmati and Lin Zhong "Studying smartphone usage: lessons from a four-month field study"  IEEE Transactions on Mobile Computing , v.tba , 2014 , p.tba http://arxiv.org/abs/1012.2832
Ahmad Rahmati, Chad Tossell, Clayton Shepard, Phil Kortum, and Lin Zhong "Exploring iPhone usage: the influence of socioeconomic differences on smartphone adoption, usage and usability" in Proceedings ACM International Conference Human Computer Interaction with Mobile Devices and Services (MobileHCI) , v.Septemb , 2012
Ahmad Rahmati, Clayton Shepard, Chad Tossell, Lin Zhong, Philip Kortum, Angela Nicoara, Jatinder Singh "Seamless TCP migration on smartphones without network support" IEEE Transactions on Mobile Computing , 2014 http://arxiv.org/ftp/arxiv/papers/1012/1012.3071.pdf
Ardalan Amiri Sani, Zhiyong Tan, Peter Washington, Mira Chen, Sharad Agarwal, Lin Zhong, and Ming Zhang "The wireless data drain of users, apps, and platforms" ACM SIGMOBILE Mobile Computing and Communications Review , 2013 http://arxiv.org/ftp/arxiv/papers/1012/1012.3071.pdf
C. Dacso, E. Knightly and M. Dacso "Technology-enabled Chronic Disease Management in Under-resourced Environments" in Proceedings of the International Conference on Wireless Technologies for Humanitarian Relief, ACWR 2011, Amrita University, India , v.Decembe , 2011
Chad Tossell, Phil Kortum, Ahmad Rahmati, Clayton Shepard, and Lin Zhong "Characterizing web use on smartphones" in Proceeding of ACM SIGCHI Conference Human Factors in Computing Systems (CHI) , v.May , 2012
Clayton Shepard, Ahmad Rahmati, Chad Tossell, Lin Zhong, and Phillip Kortum "LiveLab: measuring wireless networks and smartphone users in the field" ACM SIGMETRICS Perform. Eval. Rev. , v.38 , 2010 , p.3
E. Magistretti, O. Gurewitz, and E. Knightly "Inferring and Mitigating a Link's Hindering Transmissions in Managed 802.11 Wireless Networks" Proceedings of ACM MobiCom , 2010
Hang Yu, Lin Zhong, Ashutosh Sabharwal, and David Kao "Beamforming on Mobile Devices: a First Study" in Proceedings of ACM Int. Conference Mobile Computing and Networking (MobiCom , v.Septemb , 2011
J. Robinson, M. Singh, R. Swaminathan, and E. Knightly "Deploying Mesh Nodes under Non-Uniform Propagation" Proceedings of IEEE INFOCOM 2010 , 2010
(Showing: 1 - 10 of 18)

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.

While the research community has long recognized and advanced the benefits of diverse spectrum access, to date, urban-scale wireless access networks, both research and commercial, retain legacy design decisions and performance of single-band operation. The goal of a community-driven Urban-Scale Polymorphic Wireless Network was achieved with an approach that capitalized on the urban community within Houston; Pecan Park, an underserved community. We have complemented our role as researchers by serving as the community wireless network service provider, the network equipment and protocol designer, and community-technology educators and advocates.

The project deployed dynamic spectrum access prototype nodes in the Technology For All wireless testbed. The network, which operates in an under-resourced community in Houston, Texas, spans from 500 MHz DTV bands to 5 GHz, a range previously achieved only in laboratory settings. Different spectral bands have vast differences in their propagation range and usage. Consequently, dynamic band selection allows both network operators and clients to adaptively select the band to improve performance, robustness, and energy efficiency. Lower frequencies have improved range and penetration through obstacles such as trees and walls. However, this same increased range can lead to over-utilization from many interferers if spectrum is not managed. The research team has developed new dynamic spectrum access tools targeting highly mobile urban access with a focus on underserved and developing regions.

The project designed and deployed a dynamic spectrum access node serving a residential user in Pecan Park, an under-resourced community in Houston, Texas. A local resident was the first to transmit on UHF from her home. This deployment in a low-income community provides access to information technologies for its residents. It has produced lessons and insights for future deployments of wireless infrastructures in other urban communities, including underserved ones, both nationally and internationally. The project’s unique use of spectrum is informing spectrum policy.

The project developed the novel downlink Multi-User MIMO sounding protocol called MUTE. This protocol decouples the sounding set selection used to collect Channel State Information (CSI), from the transmission set selection in order to minimize or even eliminate the overhead associated with sounding, while maximizing user selection performance. To this end, MUTE exploits channel statistics to all the different users to predict whether a particular user’s channel will remain sufficiently stable, thereby allowing the access point to preclude channel sounding before a MU-MIMO transmission. The project team analyzed the overhead associated with sounding in indoor MU-MIMO WLANs and proposed the sounding protocol MUTE. The protocol relies on historical CSI obtained via previous soundings to predict the variation in channel magnitude and phase given the amount of time that has passed since the last measurement for a specific user was collected. Using testbed experiments and measurement-driven emulation, we showed that MUTE can significantly reduce sounding overhead without incurring meaningful rate penalties.

The project produced LiveLab, a methodology to measure real-world smartphone usage and wireless networks with a reprogrammable indevice logger designed for long-term user studies. The team researched the challenges of privacy protection and power impact in LiveLab. As a solution, the team developed, an iPhone 3GS based deployment of LiveLab with 25 users intended for one year. Results from the data collection demonstrated the feasibility and capability of LiveLab. LiveLab, a network and user measurement research tool is freely available online.

The project has provided research opportunities for undergraduate and graduate students from a variety of disciplines. The project produced educational content that will significantly enrich our curricula in multiple disciplines. Our project has produced publicly available data sets that have already been utilized by researchers world-wide. The data sets are unique in that they provide unprecedented access to all system components from the end-user to the network.

 


Last Modified: 09/06/2016
Modified by: Edward W Knightly

Please report errors in award information by writing to: awardsearch@nsf.gov.

Print this page

Back to Top of page