30 citations · 40 across the 17 of their papers we have counts for
17 papers
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…
Multi-Span Optical Power Spectrum Evolution Modeling using ML-based Multi-Decoder Attention Framework
Agastya Raj, Zehao Wang, Frank Slyne +3
We implement a ML-based attention framework with component-specific decoders, improving optical power spectrum prediction in multi-span networks. By reducing the need for in-depth…
Demonstration of Cooperative Transport Interface using open-source 5G OpenRAN and virtualised PON network
Frank Slyne, Kevin O Sullivan, Merim Dzaferagic +6
We demonstrate a real-time, converged 5G-PON through the Cooperative Transport Interface, synchronising 5G and PON-DBA upstream schedulers. This innovative approach, implemented us…
Metro Access Network with Convergence of Coherent and Analog RoF Data Services
Amol Delmade, Frank Slyne, Colm Browning +2
Efficient use of spectral resources will be an important aspect of converged access network deployment. This work analyzes the performance of variable bandwidth Analog Radio-over-F…
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…
Two-tier PON virtualisation with scheduler synchronization supporting application-level ultra-low latency in MEC based Cloud-RAN, using MESH-PON
Sandip Das, Frank Slyne, Daniel Kilper +1
Ultra-low end-to-end latency is one of the most important requirements in 5G networks and beyond to support latency-critical applications. Cloud-RAN and MEC are considered as the k…
Experimental Demonstration of ML-Based DWDM System Margin Estimation
Jasper Müller, Frank Slyne, Kaida Kaeval +6
SNR margins between partially and fully loaded DWDM systems are estimated without detailed knowledge of the network. The ML model, trained on simulation data, achieves accurate pre…
Experimental Demonstration of Network Convergence with Coherent and AnalogRadio-over-Fibre signals For Densified 5.5G/6G Small Cell Networks
Frank Slyne, Colm Browning, Amol Delmade +2
In this work we analyse and demonstrate the coexistence of digital coherent and analogue radio over fibre signals over an access-metro transmission network and field fibre. We anal…
Employing Channel Probing to Derive End-of-Life Service Margins for Optical Spectrum Services. To appear in OPTICA Journal of Optical Communications and Networking
K. Kaeval, F. Slyne, S. Troia +8
Optical Spectrum as a Service (OSaaS) spanning over multiple transparent optical network domains, can significantly reduce the investment and operational costs of the end-to-end se…
Energy Efficient SDN and SDR Joint Adaptation of CPU Utilization Based on Experimental Data Analytics
Beiran Chen, Frank Slyne, Marco Ruffini
In this paper we propose a hybrid softwarized architecture of Network Function Virtualization (NFV) where Software-Defined Networking (SDN) and Software-Defined Radio (SDR) compone…
A Novel low-latency DBA for Virtualised PON implemented through P4 In-Network Processing
D. R. Mafioletti, F. Slyne, R. Giller +3
We present a novel dual-DBA allocation, with a fast P4-enabled scheduler to provide low latency upstream grant allocations. We show latency reduction of 37% and 43%, respectively,…
Demonstration of a low latency bandwidth allocation mechanism for mission critical applications in virtual PONs with P4 programmable hardware
D. R. Mafioletti, F. Slyne, R. Giller +4
We provide a real-time demonstration of a low-latency PON DBA mechanism, optimised for virtual PONs. Our implementation mixes P4 programmable data plane and software-based virtual…
Real-time, low latency virtual DBA hypervisor for SLA-compliant multi-service operations over shared Passive Optical Networks
Arijeet Ganguli, Frank Slyne, Marco Ruffini
We present a heuristic algorithm for a PON upstream scheduling hypervisor,supporting low latency services with strict service-level agreement. The algorithm achieves near-optimal p…
Schedulers Synchronization Supporting Ultra Reliable Low Latency Communications (URLLC) in Cloud-RAN over Virtualised Mesh PON
Sandip Das, Frank Slyne, Daniel Kilper +1
We propose a mechanism to support URLLC Open-RAN ultra-low latency over a MESH-PON, serving dense deployment of small cell and MEC nodes in an access network. We show the possibili…
Optimal Slicing of Virtualised Passive Optical Networks to Support Dense Deployment of Cloud-RAN and Multi-Access Edge Computing
Sandip Das, Frank Slyne, Marco Ruffini
The commercialization of Cloud-RAN, and Open-RAN in particular, is a key factor to enable 5G cell densification, by providing lower cost and more agile deployment of small cells. I…
Moving the Network to the Cloud: the Cloud Central Office Revolution and its Implications for the Optical Layer
M. Ruffini, F. Slyne
SDN and NFV have recently changed the way we operate networks. By decoupling control and data plane operations and virtualising their components, they have opened up new frontiers…
Experimental Demonstration of RAN Functional Split over virtual PON Transport Network
Line Larsen, Frank Slyne, Ghizlane Mountaser +2
Cloud-Radio Access Networks (Cloud-RANs) are separating the mobile networks base station functions into three units, the connection between the two of them is referred to as the fr…