QoT-aware adaptive modulation format-based resource provisioning for clustered LR-PON

Abstract

• This study presents a QoT-aware adaptive modulation format based on resource provisioning (QAMF-RP) algorithm for software-defined long-reach passive optical networks architecture. • The LR-PON architecture incorporates orthogonal frequency division multiplexing-based time-wavelength division multiplex PON (OFDM-based-TWDM-PON), thus high bandwidth utilisation and small bandwidth allocation granularity with limited network resources is possible to deal with this rapid traffic growth. • What’s more, the proposed QAMF-RP algorithm addresses the challenges associated with the higher upstream channel idle time owing to long round trip time and data-reliable transmission for all types of services. • We believe that our study makes a significant contribution to the literature because our results show a promising performance of the proposed system that significantly reduce average latency, improve throughput and network QoS, ensure optimal resource provisioning, and satisfy various service requirements. The range of conventional passive optical networks (PONs) is 20 km, which are difficult to satisfy the requirements of accommodating increasing number of users and coverage areas. Thus, a software-defined long-reach PON (LR-PON) architecture which extends the access network to hundreds of kilometres is proposed in this paper. Using the proposed LR-PON architecture, which incorporates orthogonal frequency division multiplexing-based time-wavelength division multiplex PON (OFDM-based-TWDM-PON), high bandwidth utilisation and small bandwidth allocation granularity with limited network resources is possible to deal with this rapid traffic growth. Further, to address major challenges such as higher upstream channel idle time owing to long round trip time and data-reliable transmission for all types of services, while considering energy consumption, we also propose a quality-of-transmission (QoT)-aware adaptive modulation format-based resource provisioning algorithm that considers the PHY and MAC layers. The results of simulations conducted to verify the performance of the proposed architecture and algorithm demonstrate that they can reduce average latency, significantly improve throughput and network QoS, ensure optimal resource provisioning, and satisfy various service requirements.