NSF/Intel Partnership on Machine Learning for Wireless Networking Systems
This program seeks to accelerate fundamental, broad-based research on wireless-specific machine learning (ML) techniques, towards a new wireless system and architecture design, which can dynamically access shared spectrum, efficiently operate with limited radio and network resources, and scale to address
the diverse and stringent quality-of-service requirements of future wireless applications.
In parallel, this program also targets research on reliable distributed ML by addressing the challenge of computation over wireless edge networks to enable ML for wireless and future applications.
Model-based approaches for designing the wireless network stack have proven quite efficient in delivering the networks in wide use today; research enabled by this program is expected to identify realistic problems that can be best solved by ML and to address fundamental questions about expected improvements from using ML over model-based methods.
Proposals may address one or more Research Vectors (RVs):
ML for Wireless Networks; ML for Spectrum Management; and Distributed ML over Wireless Edge Networks.
It is anticipated that 10 to 15 awards will be made, with an award size of $300,000-$1,500,000, for periods of up to 3 years.
The budget should be commensurate with the complexity of the proposed research.
Projects will be funded across this range.
In parallel, this program also targets research on reliable distributed ML by addressing the challenge of computation over wireless edge networks to enable ML for wireless and future applications.
Model-based approaches for designing the wireless network stack have proven quite efficient in delivering the networks in wide use today; research enabled by this program is expected to identify realistic problems that can be best solved by ML and to address fundamental questions about expected improvements from using ML over model-based methods.
Proposals may address one or more Research Vectors (RVs):
ML for Wireless Networks; ML for Spectrum Management; and Distributed ML over Wireless Edge Networks.
It is anticipated that 10 to 15 awards will be made, with an award size of $300,000-$1,500,000, for periods of up to 3 years.
The budget should be commensurate with the complexity of the proposed research.
Projects will be funded across this range.
Who's Eligible
Relevant Nonprofit Program Categories
Obtain Full Opportunity Text:
NSF Publication 19-591
Additional Information of Eligibility:
*Who May Submit Proposals: Proposals may only be submitted by the following: -Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.
Full Opportunity Web Address:
http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf19591
Contact:
Agency Email Description:
If you have any problems linking to this funding announcement, please contact
Agency Email:
Date Posted:
2019-07-30
Application Due Date:
Archive Date:
2019-11-28
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