activity
20232026
most citedGeneralized few-shot transfer learning architecture for modeling the EDFA gain spectrum

3 citations · 6 across the 15 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.NI2026

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…

cs.NI2026

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…

cs.NI2026

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…

eess.SP2026

DAS-AIS Association Patterns for Vessel Monitoring on an Operational Subsea Fibre Link

Tian Tian, Agastya Raj, Lara Flanagan +4

We present a case study on the Emerald Fibre Bridge Link, an operational subsea telecom cable connecting Dublin and North Wales, examining DAS vessel-related signatures jointly wit…

cs.SD2026

Sea-Scan: High-Accuracy, ML-based Dark Vessel Detection and Localisation via Weakly Supervised DAS Monitoring

Tian Tian, Agastya Raj, Lara Flanagan +2

We present an ML-based vessel detection and localization system, trained with weak supervision from imperfect AIS labels, that achieves a 97.8% detection rate at 1.98% false-trigge…

eess.SP2026

Deep Learning Based Multi-Step Channel Prediction for Adaptive Underwater Acoustic OFDM Systems

Tian Tian, Ying Zhang, Agastya Raj +2

We develop an adaptive OFDM framework for underwater acoustic communications based on PatchCSI-T, a Transformer-based multistep channel prediction model with feature-independent mo…

cs.NI2026

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…