Browsing Computer Science (Scholarly Publications) by Subject "5G networks"
Now showing items 1-6 of 6
-
Capacity sharing approaches in multi-tenant, multi-service PONs for low-latency fronthaul applications based on cooperative-DBA
(2020)We propose and compare algorithms to allocate upstream PON capacity, where multiple virtual operators generate independent frame-level allocation over shared infrastructure. Our fragmentation-based approach shows the ... -
Experimental Demonstration of multiple Disaggregated OLTs with Virtualised Multi Tenant DBA, over General Purpose Processor
(2020)We demonstrate an Optical Line Terminal with fully softwarised data plane and virtual Dynamic Bandwidth Allocation in a sliceable, multi-tenant PON architecture. We evaluate performance results for 6 OLTs sharing the ... -
Full PON Virtulisation Supporting Multi-Tenancy Beyond 5G.
(2019)In this paper, we introduce a virtualization technique to enable fully customizable resource sharing for Passive Optical Networks. We provide a summary of the concept, economic challenges and implementation. -
Hybrid Machine Learning EDFA Model
(2020)A hybrid machine learning (HML) model combining a-priori and a-posteriori knowledge is implemented and tested, which is shown to reduce the prediction error and training complexity, compared to an analytical or neural ... -
PON Virtualisation with EAST-WEST Communications for Low-Latency Converged Multi-Access Edge Computing (MEC)
(2020)We propose a virtual-PON based Mobile Fronthaul (MFH) architecture that allows direct communications between edge points (enabling EAST-WEST communication). Dynamic slicing improves service multiplexing while supporting ... -
Virtualised EAST-WEST PON Architecture Supporting Low-Latency communication for Mobile Functional-Split Based on Multi-Access Edge Computing
(2020)Ultralow latency end-to-end communication with high reliability is one of the most important requirements in 5G networks to support latency-critical applications. A recent approach toward this target is to deploy edge ...