| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
|
| Initial Amendment Date: | July 9, 2019 |
| Latest Amendment Date: | July 9, 2019 |
| Award Number: | 1849739 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Murat Torlak
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | July 15, 2019 |
| End Date: | June 30, 2022 (Estimated) |
| Total Intended Award Amount: | $174,987.00 |
| Total Awarded Amount to Date: | $174,987.00 |
| Funds Obligated to Date: |
|
| History of Investigator: |
|
| Recipient Sponsored Research Office: |
1 UNIVERSITY OF NEW MEXICO ALBUQUERQUE NM US 87131-0001 (505)277-4186 |
| Sponsor Congressional District: |
|
| Primary Place of Performance: |
Albuquerque NM US 87131-0001 |
| Primary Place of
Performance Congressional District: |
|
| Unique Entity Identifier (UEI): |
|
| Parent UEI: |
|
| NSF Program(s): |
Networking Technology and Syst, EPSCoR Co-Funding |
| Primary Program Source: |
|
| Program Reference Code(s): |
|
| Program Element Code(s): |
|
| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
The economic and societal potential of emerging 5G and cyber-physical social systems is vastly greater than what has been realized so far, and major investments are being made worldwide to develop the corresponding science and technology. Though significant achievements have been obtained in the development of various architectures to study such interconnected systems, one barrier to further progress is the lack of appropriate science and technology to conceptualize and design for the deep inter-dependencies among users behaviors, interactions, and decisions. This project, called REFRESH, promotes a novel research agenda, where the proposed resource management framework and the real-life modeling approach go beyond the classical settings. The proposed approach allows for the creation of a user-centric framework that brings significant benefits for (a) the end-user, in terms of reduced power consumption, lower prices and reduced communication and computation overhead; and (b) for the network or service provider, in terms of energy savings and increased number of satisfied customers. The proposed research will influence not only the corresponding scientific directions but will stimulate changes in the emerging economies of scale, creating the basis for societal growth and paradigm shifts. Concrete plans to maximize the broader impacts of the project include educational activities, outreach actions, minority student recruitment, diversity, and data dissemination actions.
In REFRESH a novel approach to resource allocation in wireless networks is considered, based on the following ideas: (a) Instead of maximizing the Quality of Service (QoS), it is argued that better energy-efficiency is achieved by targeting satisfactory QoS levels only. This is treated by a game-theoretical solution concept referred to as satisfaction equilibrium; (b) The theory used so far has not managed to properly address the fact that individuals in real-life do not behave as neutral expected utility maximizers, but they tend to exhibit risk-seeking or loss-aversion behavior under uncertainty. To deal with this, Prospect Theory and the theory of the Tragedy of the Commons are exploited. The realism of the introduced novel resource allocation paradigm is complemented by integrating learning approaches to reduce the impact of communication and computing environment dynamicity and lack of information. Expected findings have the potential to lay the foundations of a solid theoretical and pragmatic resource management framework.
This project is jointly funded by the Computer and Network Systems (CNS) program and the Established Program to Stimulate Competitive Research (EPSCoR).
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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.
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.
In this project, we designed and introduced a novel real-life modeling approach to treat in an efficient and realistic manner the emerging resource management problem in competitive multi-user heterogeneous wireless networking environments, under risks, uncertainties and inherent inter-dependencies in user choices and decisions. The major outcomes of the project are listed below:
- Proposed an innovative modeling approach to address the existing challenges of efficient resource management in multi-user heterogeneous wireless networking and computing systems, considering the risk-based user behavior, the communication and computing environments' uncertainties, and the inter-dependencies in user actions.
- Extended the concepts Quality of Service Satisfaction Equilibrium and Prospect Theory to create a concrete framework that serves as the basis to achieve the envisioned objective of creating a novel holistic real-life modeling, optimization framework and resource allocation paradigm. The focus was placed on emerging communication paradigms, e.g., 5G wireless access technologies, and multi-access edge computing environments, where multiple resources of different nature and properties need to be optimally allocated.
- Introduced a new solution concept known as satisfaction equilibrium (SE) in the realm of edge computing and wireless communications in order to overcome the drawbacks and constraints associated with the use of traditional Expected Utility Maximization and common equilibrium concepts (e.g., Nash equilibrium), in terms of solutions' stability and inefficiencies of corresponding methodologies.
- Extended Prospect Theory and the theory of the Tragedy of the Commons to provide a real-life spirit into the resource management process and deal with the challenges in the decision-making due to user risk preferences that traditional models fail to capture.
- Redefined the way resource management is performed in multi-access edge computing environments and in the dynamic spectrum management in 5G networks by adopting the proposed holistic risk-aware and satisfaction-aware resource management framework.
- The research activities of the PI and the group of students participated in this project, concluded to 16 peer-reviewed journal publications and 16 peer-reviewed conference publications, focusing on the field of wireless networks and distributed computing, while also extending the applicability of the invented theoretical tools in the fields of smart grid systems and public safety networks. The latter extension attracted the interest of local government agencies, e.g., Emergency Control Center of the City of Albuquerque, and Sandia National Laboratories.
- Disseminated research outcomes to industries and local government agencies (AT&T, City of Albuquerque, and Sandia National Laboratories).
- Included the project's research findings in the PI’s graduate course ECE 524: Network Economics, assigned senior design projects to the undergraduate students with relevant topics to the project's goal, included the developed frameworks in networking courses offered in the UNM online Masters Program: Computer Engineering-IoT that are educating a large number of MS graduate students in the emerging IoT area. Educated two Ph.D. students in the field of wireless networks and edge computing, respectively. The students graduated with their PhD degree and were hired as research scientists at the Artificial Intelligence group of Facebook, and the Amazon Web Services (AWS) Transactional Services, respectively. Additionally, six Master students performed their Master thesis in topics related to the project’s goals, and half of them continued for PhD in the PI’s group, and half of them were hired by the Sandia National Laboratories. Also, seven undergraduate students performed their senior design project, or undergraduate research project, or honors project on topics related to the project’s goal.
- Developed a project website where information and progress were presented.
- Contacted journalists from versatile delivery channels that were interested in publishing short stories highlighting our scientific achievements.
- Organized special sessions, e.g., N2 Women workshops, within prestigious conferences to broaden outreach and diversity.
- The PI acted as Technical Program chair or General Chair to several prestigious conferences, where the PI has included topics of this research project within the call for papers in order to attract technical papers submissions from the research community in the specific research field. Indicative examples are: (i) IEEE GLOBECOM 2022 – Symposium GREEN COMMUNICATION SYSTEMS AND NETWORKS, (ii) 23rd IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, (iii) Track 1: Ad Hoc, Mobile, and Sensor Networking (AMSN) in the 31th International Conference on Computer Communications and Networks, (iv) 26th IEEE Symposium on Computers and Communications, (v) 19th ACM International Symposium on Mobility Management and Wireless Access, (vi) 30th International Conference on Computer Communications and Networks (ICCCN 2021) - Track 1: Ad Hoc, Mobile, and Sensor Networking.
- The PI organized a workshop: International Workshop on Real-life modeling in 5G networks and beyond – REFRESH, for three consecutive years, which is collocated with the INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS. The main research topics that were included in the call for papers of the workshop, were derived from the research scope of this NSF project. The PI plans to continue organizing this workshop in the upcoming years.
Last Modified: 07/03/2022
Modified by: Eirini Eleni Tsiropoulou
Please report errors in award information by writing to: awardsearch@nsf.gov.
