Real-Time Capable, Low-latency Upstream Scheduling in Multi-Tenant, SLA Compliant TWDM PON

TL;DR

This paper introduces a real-time, low-latency upstream scheduling algorithm for multi-tenant virtualized PONs, enabling SLA compliance and supporting multi-channel dynamic wavelength allocation for 6G applications.

Contribution

The paper proposes the DTWA merging DBA algorithm with multi-channel support, optimized for real-time performance in multi-tenant PON environments, advancing current bandwidth management techniques.

Findings

Achieves real-time scheduling with minimal latency using high-performance optimization.

Demonstrates a throughput trade-off between single-channel and multi-channel PONs.

Shows improved dynamic wavelength allocation performance over static schemes.

Abstract

Virtualized Passive Optical Networks (vPONs) offer a promising solution for modern access networks, bringing enhanced flexibility, reduced capital expenditures (CapEx), and support for multi-tenancy. By decoupling network functions from physical infrastructure, vPONs enable service providers to efficiently share network resources among multiple tenants. In this paper, we propose a novel merging DBA algorithm, called the Dynamic Time and Wavelength Allocation (DTWA) algorithm, for a virtualized DBA (vDBA) architecture in multi-tenant PON environments. The Algorithm, which enables the merging of multiple virtual DBAs into a physical bandwidth map, introduces multi-channel support, allowing each Optical Network Unit (ONU) to dynamically change, taking into consideration different switching times, transmission wavelength. Leveraging the Numba APIs for high-performance optimization, the algorithm achieves real-time performance with minimal additional latency, meeting the stringent requirements of SLA-compliant, latency-critical 6G applications and services. Our analysis highlights an important trade-off in terms of throughput in multi-tenant conditions, between single-channel vs. multi-channel PONs, as a function of ONUs tuning time. We also compare the performance of our algorithm for different traffic distributions. Finally, in order to assess the time computing penalty of dynamic wavelength optimisation in the merging DBA algorithm, we compare it against a baseline Static Wavelength Allocation (SWA) algorithm, where ONUs are designated a fixed wavelength for transmission.