
NSF Org: |
CNS Division Of Computer and Network Systems |
Recipient: |
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Initial Amendment Date: | August 8, 2016 |
Latest Amendment Date: | May 1, 2017 |
Award Number: | 1617924 |
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: | October 1, 2016 |
End Date: | September 30, 2020 (Estimated) |
Total Intended Award Amount: | $180,848.00 |
Total Awarded Amount to Date: | $196,688.00 |
Funds Obligated to Date: |
FY 2017 = $15,840.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
323 DR MARTIN LUTHER KING JR BLVD NEWARK NJ US 07102-1824 (973)596-5275 |
Sponsor Congressional District: |
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Primary Place of Performance: |
323 DOCTOR MARTIN LUTHER Newark NJ US 07102-1982 |
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, Networking Technology and Syst |
Primary Program Source: |
01001718DB NSF RESEARCH & RELATED ACTIVIT |
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
Mobile devices are realizing a profound impact on commerce and society today and their success continues to provide rich new applications in all facets of life. This continued expansion is due to rapid advancements in speed and capacity of the devices themselves and the increased capacity of mobile networks. However, mobile devices have now reached performance levels in which they are effectively 'data starved' since their ability to produce or consume data far exceeds the capabilities of the networks which feed them. Next generation, or 5G, wireless networks hold promise to meet this growing demand coupled with the use of smaller wireless cells. Offloading data traffic to small cells is already an established technique for adding capacity to dense environments where macro-cells are overloaded. This project expands the offloading concept onto small cells using optical wireless techniques, providing an additional tier of ultra-dense optical cells in multi-user indoor environments. These Coexisting Radio and Optical Wireless small cell Deployment (CROWD) networks, will enable continued enhancement in-network performance that is essential to maintain the growth and momentum of new applications of mobile devices including connected health, augmented reality, cognitive computing, and the internet of everything.
This project aims to use the untapped optical wireless (OW) spectrum and the high areal spectral efficiency of OW cells to augment existing Radio Frequency Small Cells (RF-SCs) and realize new levels of performance offered by future ultra-dense networks. In the proposed CROWD networks, the OW cells are used to intelligently offload high-speed downlink traffic from the RF-SC when a reliable OW cell exists. While small coverage area and dense distribution of directional OW cells improves area spectral efficiency and aggregate wireless capacity; smallness also increases the difficulty of maintaining seamless connectivity. Accordingly, the RF-SC provides coverage for highly mobile devices and devices without a reliable OW connection. CROWD networks are intended to realize performance gains in wireless throughput, latency, and streaming performance within dense multi-user environments. Outcomes of the work include: (1) analysis and simulation of heterogeneous CROWD networks under varying user traffic and mobility models, (2) a design framework and methodology for the creation and adoption of CROWD networks for future 5G systems, and (3) a functional proof-of-concept implementation suitable for validation of the analytic and simulation results and as a blueprint for scaling up to larger CROWD networks.
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.
People are increasingly adopting smartphones and other electronic devices to interact with the global network of interconnected computers, people, and infrastructure. So much so that it is not unusually to have indoor spaces such as restaurants or classrooms or offices with hundreds of interconnecting devices that share space with computers that control the space. These can be household items such as TVs or music players, but also building control device such as thermostats, heating systems, lighting control, security cameras and the like. Cisco estimates that by 2023 there will be almost 30 billion devices connected to the internet. A critical challenge is how to keep up with the wireless capacity serving this burgeoning growth and especially in spaces where many humans congregate: the aforementioned restaurants, classrooms, offices, and the like, where there is a high density of connected wireless devices.
Multiple strategies are in play to keep up with the demands in this setting. This involves finding new radio frequency spectrum to allocate to the devices, or developing higher parts of the spectrum including “millimeter wave,” and “optical” bands. But these higher frequencies have different properties; mainly, they transmit in the direction that you steer them. Because they can provide huge increases in wireless capacity, it is worthwhile to work around their nuances to be able to bring them into the mix. And this is where the project research comes in: to find a way for existing radio frequency communications to complement the characteristics and limitations of very high speed “directional media” such as millimeter wave and optical.
The project focuses on the four main topics of: (1) How existing radio frequency spectrum can be used to successfully offload data traffic under conditions where the directional communications performs poorly, such as when devices move away from overhead access points or is blocked. (2) How the new directional media can vastly increase available capacity for wireless devices without introducing the interference that would be caused by densely located radio frequency access points. (3) Creating a way to design the best performance in a system with pre-existing wireless and the addition of new directional media. (4) And demonstrating that these new models and control mechanisms work in practice, using a testbed equipped with RF access points and a dense grid of overhead optical sources.
The most significant results from the grant include:
- Development of new ways to control the field of view of an optical receiver when used in conjunction with a radio frequency access point. By controlling the field of view and the direction that the receiver points, a substantial gain in system performance is realized even under conditions of device movement or change in orientation.
- The analysis of the throughput enhancement of the hybrid radio frequency/optical system and the study of the impact of the medium access control protocol and random access on the enhancement.
- For the case of mobile users transiting through multiple access points, we demonstrated a machine-learning method that combines deep learning and model-free reinforcement to realize performance predicted in analytical studies. This method is important to extract the best performance out of hybrid radio frequency and optical wireless networks.
- The design and analysis of a modulating signal that is compatible with both optical and radio transmissions and its integration in a hybrid radio-optical wireless network. The novel signal adds a security level in the physical layer and uses the OFDM digital modulation scheme used in current “Fifth Generation” telecommunications and is considered in future generations. The communication chain is implemented based on classical building blocks and artificial Intelligence-based machine-learning techniques. In the presence of an eavesdropper, the analysis show that the eavesdropper becomes oblivious to the transmitted information, which is equivalent to random guessing.
- Demonstration of using mixed directional media (radio frequency and optical) in a real wireless testbed scenario, showing the performance gains achievable for existing WiFi access points and overhead optical access points also used for lighting.
The work demonstrates the potential for exploiting coexisting wireless media types that complement each other and greatly increases combined wireless performance. It also lays the foundation for the analysis and design of future co-existing media designs especially as new areas of the spectrum are enabled, such as the emerging THz band which is important as humanity’s appetite for wireless connectivity continues to grow without bound.
Last Modified: 11/01/2020
Modified by: Abdallah Khreishah
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