Activity
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I was grateful to have the opportunity present our capstone project at the engineering senior design showcase last week! Luke Bassett and I designed…
I was grateful to have the opportunity present our capstone project at the engineering senior design showcase last week! Luke Bassett and I designed…
Liked by Federica Aveta
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How did I manage to attend the 2024 Robotics: Science and Systems Conference (RSS) at TU Delft, Netherlands, without having a paper accepted…
How did I manage to attend the 2024 Robotics: Science and Systems Conference (RSS) at TU Delft, Netherlands, without having a paper accepted…
Liked by Federica Aveta
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Great day at the @materovcompetition today!! The team did an amazing job on our presentation. Tomorrow at 10am is our first pool demonstration!!…
Great day at the @materovcompetition today!! The team did an amazing job on our presentation. Tomorrow at 10am is our first pool demonstration!!…
Liked by Federica Aveta
Experience
Education
Publications
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Cognitive multi-user free space optical communication testbed
SPIE
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Cognitive Multi-Point Free Space Optical Communication: Real-Time Users Discovery using Unsupervised Machine Learning
IEEE Access
Multi-user free-space optical communication (FSOC) is beginning to draw a significant attention for its ability to support increased system network capacity while using single receiving photodiode and satisfying size, weight, and power (SWaP) constraints imposed by space- and aerial-based mobile communication. Despite these advantages, support of multi-user capabilities cause increased system complexity due to accommodating heterogenous users communications with varying transmission and data…
Multi-user free-space optical communication (FSOC) is beginning to draw a significant attention for its ability to support increased system network capacity while using single receiving photodiode and satisfying size, weight, and power (SWaP) constraints imposed by space- and aerial-based mobile communication. Despite these advantages, support of multi-user capabilities cause increased system complexity due to accommodating heterogenous users communications with varying transmission and data rate requirements. Machine learning (ML) has recently been considered as a promising approach for introducing cognition into the network to mitigate some of the complexity. A cognitive method based on unsupervised ML was derived for estimating the number of users communicating and sharing time and bandwidth resources with a single-node receiver. A weighted clustering approach was introduced and experimentally validated when users received with similar amplitude information that results in underestimation. Obtained results confirmed that the proposed methodology was able to accurately differentiate the number of simultaneously transmitting users with accuracy greater than 92%— even in the presence of moderate atmospheric turbulence. An experimental analysis was conducted to determine data size and receiver sampling rate requirements for accurate estimation. Furthermore, an empirical model was derived to evaluate the effect of preamble signal length given a particular sampling rate on the accuracy of the estimation. The model was validated for up-to four users.
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Modulation Format and Number of Users Classification in Multi-Point FSOC using CNN
Optical Engineering
A methodology based on convolutional neural network (CNN) is proposed for joint
classification of transmitting user number and modulation format in a multiuser free-space optical
communication (FSOC) link. The proposed methodology relies on amplitude information of
received mixed signal. In-phase and quadrature components of users that are sharing time and
bandwidth resources transmitting into the same optical wireless access point and interfering
within each other are analyzed…A methodology based on convolutional neural network (CNN) is proposed for joint
classification of transmitting user number and modulation format in a multiuser free-space optical
communication (FSOC) link. The proposed methodology relies on amplitude information of
received mixed signal. In-phase and quadrature components of users that are sharing time and
bandwidth resources transmitting into the same optical wireless access point and interfering
within each other are analyzed. The proposed approach utilizes the constellation diagrams of the
received mixed symbols to generate image data sets that are fed into CNN input. The
designed CNN model with three convolutional layers was tested for: varying image resolutions,
image-data set size, varying number of received symbols, and atmospheric turbulence to
identify optimal parameters and processing time for system design and implementation. The
results indicate that the CNN model can blindly and accurately identify the communicating
device number and their optical modulation format with classification accuracy up to 100% for
various SNRs. Moreover, the CNN demonstrated robustness against atmospheric turbulence and
suggested immunity to additive noise. Therefore, the proposed methodology proved to be a
promising and feasible solution for practical implementation of an intelligent optical wireless
receiver for aerial and terrestrial FSOC links. -
Free space optical non-orthogonal multiple access experimentation
SPIE
Free Space Optical (FSO) multi-user communication provides high aggregate bandwidth and link robustness attributable to spatial diversity. The primary challenge for this technology is interference among multiple users at the receiver. A non-orthogonal multiple access (NOMA) technique multiplexes numerous users in the power domain at the same time and frequency resource. Thus, different users simultaneously transmit their signals with various power levels. The receiver then decodes user data…
Free Space Optical (FSO) multi-user communication provides high aggregate bandwidth and link robustness attributable to spatial diversity. The primary challenge for this technology is interference among multiple users at the receiver. A non-orthogonal multiple access (NOMA) technique multiplexes numerous users in the power domain at the same time and frequency resource. Thus, different users simultaneously transmit their signals with various power levels. The receiver then decodes user data individually from the overlapped signal using successive interference cancellation (SIC). This paper reports the use of NOMA in an FSO link with two users and details an investigation of the effects of power allocation and channel estimation on the user’s signals demodulation accuracy. Analysis of varying data rate and system capacity gain are explored. Experimental results indicate that accurate channel estimation and optimum power allocation ratio can improve the accuracy of signal reconstruction. Difference in data rate tested proved negligible to signal demodulation quality.
Other authors -
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Multi-user detection in optical wireless communication
IEEE
Optical wireless communication (OWC) has emerged as an attractive and promising solution for supporting high-capacity and high-density networks required by the fifth-generation (5G) communication standard and the Internet of Thing (IoT) system. As a wireless technology, OWC must ensure that multiple users can communicate through the network. To facilitate this, the ability of diverse optical multiple access control (O-MAC) techniques are analyzed in this paper. Combinations of different O-MAC…
Optical wireless communication (OWC) has emerged as an attractive and promising solution for supporting high-capacity and high-density networks required by the fifth-generation (5G) communication standard and the Internet of Thing (IoT) system. As a wireless technology, OWC must ensure that multiple users can communicate through the network. To facilitate this, the ability of diverse optical multiple access control (O-MAC) techniques are analyzed in this paper. Combinations of different O-MAC methods that were individually tested in previous work are studied and experimentally validated. Results from testing four methods— Independent Component Analysis (ICA) and non-orthogonal multiple access (NOMA); ICA and signal subtraction; NOMA on one received mixed signal; and NOMA on two received mixed signals—proved successful for free space optical communication (FSOC) in a setup comprised of three users and a dual-path fiber bundle receiver. Users with same data rate and with various data rate were tested. Obtained results showed that received signals were demodulated with high accuracy.
Other authors -
Multiple access technique in a high-speed free-space optical communication link: independent component analysis
Optical Engineering
Increasing usage and higher demand for wireless traffic are causing a critical need for increased bandwidth and capacity communication networks. Accordingly, multipoint free-space optical communication (FSOC) links are beginning to draw significant attention as a valuable and promising solution for satisfying new network requirements. Extensive interest has focused on investigating and developing hardware design solutions to perform multiuser FSOC. However, to meet the low size, weight, and…
Increasing usage and higher demand for wireless traffic are causing a critical need for increased bandwidth and capacity communication networks. Accordingly, multipoint free-space optical communication (FSOC) links are beginning to draw significant attention as a valuable and promising solution for satisfying new network requirements. Extensive interest has focused on investigating and developing hardware design solutions to perform multiuser FSOC. However, to meet the low size, weight, and power needs of this technology, we propose using a robust and solid signal-processing method, namely independent component analysis (ICA), to implement an optical multiple access technique. A high-speed, multipoint free space optical system composed of two independent users and two receiving sensors is introduced. FastICA and joint approximate diagonalization of eigenmatrices algorithms are exploited for multiuser detection, and extensive analysis of power ratio, data rate difference, computational complexity, achievable system capacity, turbulence generation accuracy, and turbulence severity effects on signal reconstruction is performed. Experimental results demonstrate that ICA provides suitable source separation for all tested configurations. Additionally, transmission parameters that maximize signal reconstruction performances were identified.
Other authors -
Number of Users Detection in Multi-Point FSOC Using Unsupervised Machine Learning
IEEE PTL
Multi-point free-space optical communication (FSOC) has recently received extensive interest as a valuable solution for providing increased capacity in the upcoming communication networks. Diverse optical multiple access control (O-MAC) techniques have proved to successfully support multi-user FSOC. However, to adaptively and automatically select the most fitting O-MAC technique or combination thereof for signal demodulation, the number of transmitting users should be known a priori at the…
Multi-point free-space optical communication (FSOC) has recently received extensive interest as a valuable solution for providing increased capacity in the upcoming communication networks. Diverse optical multiple access control (O-MAC) techniques have proved to successfully support multi-user FSOC. However, to adaptively and automatically select the most fitting O-MAC technique or combination thereof for signal demodulation, the number of transmitting users should be known a priori at the receiver side. In this letter, a technique based on histogram peak detection and unsupervised machine learning (e.g., k-mean, k-medoid, hierarchical, and fuzzy clustering), is proposed and experimentally demonstrated for number of users detection. The proposed methodology relies on amplitude information of received signals. Results show that when multiple users’ signals are received with equal amplitude, under-estimation of user number was observed; hence, a modified approach—a weighted clustering—was employed and experimentally validated. The work reported herein demonstrated the ability of the proposed methodology to simultaneously and accurately detect multiple transmitting users in real time and under severe atmospheric turbulence.
Other authors -
Independent components analysis for processing optical signals in support of multi-user communication
SPIE
Free Space Optical (FSO) communication is widely recognized for its powerful features, especially when compared to other wireless technologies utilized in point-to-point communication links. Although current literature focuses primarily on point-to-point transmission, multi-user FSO systems are beginning to draw significant attention. The primary objective in a multi-user communication system is to estimate individually transmitted signals from received signals, namely Blind Source Separation…
Free Space Optical (FSO) communication is widely recognized for its powerful features, especially when compared to other wireless technologies utilized in point-to-point communication links. Although current literature focuses primarily on point-to-point transmission, multi-user FSO systems are beginning to draw significant attention. The primary objective in a multi-user communication system is to estimate individually transmitted signals from received signals, namely Blind Source Separation (BSS). A solution to the BSS problem in an FSO multi-user communication link is proposed. A multi-point FSO system composed of two independent transmitters operating at different wavelengths and a dual path fiber bundle receiver was used. The FastICA algorithm was exploited for multi-user detection. Experimental results demonstrate that this method can separate original transmitted signals from their received mixtures. Effects of signal power, data rate, misalignment error, and turbulence severity on signal separation are also explored to define the working range for achieving best performance.
Other authors -
Multi-user FSO communication link
IEEE
Free Space Optical (FSO) communication technology has a data rate higher than other wireless communication techniques. Although FSO has enjoyed widespread notoriety for its point-to-point communication, the increasing demand of mobile platforms and multi-user communications requires considerable improvement over current FSO systems. Developing multi-point mobile FSO systems is highly desirable. To aid in this effort, the work presented in this paper details a solution for overcoming the Blind…
Free Space Optical (FSO) communication technology has a data rate higher than other wireless communication techniques. Although FSO has enjoyed widespread notoriety for its point-to-point communication, the increasing demand of mobile platforms and multi-user communications requires considerable improvement over current FSO systems. Developing multi-point mobile FSO systems is highly desirable. To aid in this effort, the work presented in this paper details a solution for overcoming the Blind Source Separation (BSS) problem in a multi-user communication link. A multi-user FSO link with various atmospheric conditions that leverages the FastICA algorithm is detailed below. Experimental results have been obtained with a system composed of two transmitters operating at different wavelengths and two receivers. Results demonstrate that using this method, the original optically transmitted signals can be separated from their received mixtures, even during high turbulence conditions.
Other authors
Projects
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Multi-user FSOC testbed
- Present
Design and development of an high-speed and multi-user FSOC testbed.
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Development of omni-directional and cognitive optical transceivers for multi-user communication
- Present
Development and experimentation of multiple access techniques and machine learning algorithm to perform multi-user free space optical communication.
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Free-space quantum key distribution (QKD)
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Free-space QKD experimentation with ID3100/ID3110 Clavis2 system.
Honors & Awards
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Dissertation Excellence Award
Gallogly College of Engineering University of Oklahoma
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Educational Grant
European Space Agency (ESA)
Languages
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Italian
Native or bilingual proficiency
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English
Professional working proficiency
More activity by Federica
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Honored to compete with our team at the 2024 Mate ROV World Championship! IEEE - Wentworth Institute of Technology MATE ROV COMPETITION
Honored to compete with our team at the 2024 Mate ROV World Championship! IEEE - Wentworth Institute of Technology MATE ROV COMPETITION
Liked by Federica Aveta
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The WUROV Team has successfully passed the Safety Check and is putting the ROV in the pool to compete on Friday! We enjoyed meeting and interacting…
The WUROV Team has successfully passed the Safety Check and is putting the ROV in the pool to compete on Friday! We enjoyed meeting and interacting…
Liked by Federica Aveta
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Meet the 6 drive team members of the WUROV team who attended the 2024 MATE New England Regional at Massachusetts Maritime Academy to record a video…
Meet the 6 drive team members of the WUROV team who attended the 2024 MATE New England Regional at Massachusetts Maritime Academy to record a video…
Liked by Federica Aveta
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This year was a whirlwind, but I wouldn't trade it for the world! Here's a glimpse into the diverse projects I tackled: Hitting the Ground Running:…
This year was a whirlwind, but I wouldn't trade it for the world! Here's a glimpse into the diverse projects I tackled: Hitting the Ground Running:…
Liked by Federica Aveta
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Congratulations to the Wentworth School of Engineering students (Tedi Qafko, Noah DeGrazia, Clayton Easley, Lulya Tesfamicael, and Jonah Velho) who…
Congratulations to the Wentworth School of Engineering students (Tedi Qafko, Noah DeGrazia, Clayton Easley, Lulya Tesfamicael, and Jonah Velho) who…
Liked by Federica Aveta
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Great time presenting the new Wentworth Underwater Remotely Operated Vehicle (WUROV) design at Boston’s Robotics Summit for the MassRobotics form and…
Great time presenting the new Wentworth Underwater Remotely Operated Vehicle (WUROV) design at Boston’s Robotics Summit for the MassRobotics form and…
Liked by Federica Aveta
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I am extremely excited to announce that I will be joining the MIT Lincoln Laboratory Rapid Prototyping group as a summer intern! Thank you to…
I am extremely excited to announce that I will be joining the MIT Lincoln Laboratory Rapid Prototyping group as a summer intern! Thank you to…
Liked by Federica Aveta
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🎓 Sono estremamente felice di annunciare che ieri ho conseguito la Laurea Magistrale in Ingegneria Informatica (Computer Engineering) presso il…
🎓 Sono estremamente felice di annunciare che ieri ho conseguito la Laurea Magistrale in Ingegneria Informatica (Computer Engineering) presso il…
Liked by Federica Aveta
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It was an honor to receive the IEEE-Eta Kappa Nu Outstanding Chapter Award on behalf of the Wentworth Institute of Technology Mu Mu Chapter of…
It was an honor to receive the IEEE-Eta Kappa Nu Outstanding Chapter Award on behalf of the Wentworth Institute of Technology Mu Mu Chapter of…
Liked by Federica Aveta
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I Had an absolutely wonderful time at the AIAA Region III Student conference, where Emily Hagen and I from the Wentworth PicoSat group presented on…
I Had an absolutely wonderful time at the AIAA Region III Student conference, where Emily Hagen and I from the Wentworth PicoSat group presented on…
Liked by Federica Aveta
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I am thrilled to announce that I have been awarded the prestigious Wentworth Bowl award. It is truly humbling to be recognized for my dedication and…
I am thrilled to announce that I have been awarded the prestigious Wentworth Bowl award. It is truly humbling to be recognized for my dedication and…
Liked by Federica Aveta
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I am truly honored to receive the outstanding sophomore leader award! Thank you to all the groups that have helped me along the way, especially the…
I am truly honored to receive the outstanding sophomore leader award! Thank you to all the groups that have helped me along the way, especially the…
Liked by Federica Aveta
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What an incredible evening! Dr. Moahn Trivedi's speech was truly inspiring. A big thank you to all who attended and contributed to the organization…
What an incredible evening! Dr. Moahn Trivedi's speech was truly inspiring. A big thank you to all who attended and contributed to the organization…
Liked by Federica Aveta
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Congratulations to the WIT Student IEEE-ROV team for their selection in the Mass Robotics Challenge. Tedi Qafko Best wishes to the team as they…
Congratulations to the WIT Student IEEE-ROV team for their selection in the Mass Robotics Challenge. Tedi Qafko Best wishes to the team as they…
Liked by Federica Aveta
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