3 citations · 6 across the 15 of their papers we have counts for
10 papers · 1 filter
Radio-Optical Confluence in Intelligent Edge Networks
Akshita Gupta, Devika Dass, Agastya Raj +4
Challenges associated with densification of radio access networks are motivating exploration of more efficient and scalable architectures. We examine recent progress in one directi…
OSNR/GSNR Prediction in Brownfield Links via a DLM-Anchored Hybrid Physics/ML Model
Agastya Raj, Venkata Virajit Garbhapu, Hiroyuki Ishihara +5
We present a DLM-anchored hybrid physics/ML framework for brownfield optical links that accurately predicts per-channel power, OSNR, and GSNR. Calibrating span/ILA boundaries via D…
Fully Unsupervised Detection of Physical Contacts on Subsea Cables via State-of-Polarization Monitoring
Agastya Raj, Alvaro Doval, Tian Tian +2
We present a fully unsupervised Fast-Slow DSVDD detector for continuous State-of-Polarization monitoring on a deployed subsea cable. Trained without event labels, it ranks all five…
Spectrum Configuration Framework for Throughput Maximization in Open Systems with Roll-Off-Based QoT Optimization
Peyman Pahlevanzadeh, Venkata Virajit Garbhapu, Agastya Raj +3
We propose a spectrum-configuration framework for open and disaggregated optical systems that maximizes throughput while guaranteeing the quality of transmission (QoT) margins. The…
Generalized few-shot transfer learning architecture for modeling the EDFA gain spectrum
Agastya Raj, Zehao Wang, Tingjun Chen +2
Accurate modeling of the gain spectrum in Erbium-Doped Fiber Amplifiers (EDFAs) is essential for optimizing optical network performance, particularly as networks evolve toward mult…
Interference Detection in Spectrum-Blind Multi-User Optical Spectrum as a Service
Agastya Raj, Daniel C. Kilper, Marco Ruffini
With the growing demand for high-bandwidth, low-latency applications, Optical Spectrum as a Service (OSaaS) is of interest for flexible bandwidth allocation within Elastic Optical…
Real-Time Streaming Telemetry Based Detection and Mitigation of OOK and Power Interference in Multi-User OSaaS Networks
Agastya Raj, Devika Dass, Daniel C. Kilper +1
We present a framework to identify and mitigate rogue OOK signals and user-generated power interference in a multi-user Optical-Spectrum-as-a-Service network. Experimental tests on…
Transfer Learning for EDFA Gain Modeling: A Semi-Supervised Approach Using Internal Amplifier Features
Agastya Raj, Dan Kilper, Marco Ruffini
The gain spectrum of an Erbium-Doped Fiber Amplifier (EDFA) has a complex dependence on channel loading, pump power, and operating mode, making accurate modeling difficult to achie…
Interference Identification in Multi-User Optical Spectrum as a Service using Convolutional Neural Networks
Agastya Raj, Zehao Wang, Frank Slyne +3
We introduce a ML-based architecture for network operators to detect impairments from specific OSaaS users while blind to the users' internal spectrum details. Experimental studies…
Self-Normalizing Neural Network, Enabling One Shot Transfer Learning for Modeling EDFA Wavelength Dependent Gain
Agastya Raj, Zehao Wang, Frank Slyne +3
We present a novel ML framework for modeling the wavelength-dependent gain of multiple EDFAs, based on semi-supervised, self-normalizing neural networks, enabling one-shot transfer…