Options for time-sensitive networking for 5G fronthaul

Zou, Jim; Sasu, Silviu Adrian; Messenger, J.; Elbers, Jörg-Peter

doi:10.1049/cp.2019.0765

Cited by 12 publications

(4 citation statements)

References 2 publications

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“…In [49], FUSION platform demonstrated preemption for the fronthaul link over a 100G Ethernet-based transport. In [50], extreme packet delay percentiles contrary to maxi- mum one-way end-to-end delays are considered.…”

Section: B Tsn For the Fronthaul-8021cm Profilementioning

confidence: 99%

Network Slicing for TSN-Based Transport Networks

et al. 2021

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In this work, we present and analyze methods and mechanisms for interconnecting a network slice control and management system of the mobile network, with an IEEE Time-Sensitive Network (TSN) control plane. IEEE TSN is gaining momentum as a key technology that is able to provide network service guarantees for Ethernet-based communications. Although Ultra-Reliable Low-Latency Communications (URLLC) have been thoroughly investigated in 5G, incorporating TSN technologies in the Transport Network is expected to unleash the potential of end-to-end deterministic communications, especially in industrial environments and time-critical applications like factory automation. We elaborate on the concepts of a TSN-aware Xhaul network, present a novel architecture, and describe a set of amendments required in order to enable network slicing. With the devised approach, a sliceaware TSN-enabled transport network can be controlled and managed in an end-to-end orchestrated way. Implementation experience and evaluation results are reported using TSN-enabled prototype devices, OpenAirInterface (OAI), and JOX slice orchestrator.

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Section: B Tsn For the Fronthaul-8021cm Profilementioning

confidence: 99%

Network Slicing for TSN-Based Transport Networks

et al. 2021

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“…To guarantee the throughput and delay QoS requirements, capacity (throughput and buffer) allocation in every TSN switch along the path of each flow is performed (see [4] for a bounded latency model). Although the initial goal of both working groups has been focused on closed environments, interest to extend their scope to provide end-to-end solutions is increasing and some works can be found with case studies that include the application of TSN to Industry 4.0 and 5G fronthaul (see, e.g., [5]). End-to-end TSN services entail the support of operators' transport networks that are currently carrying traffic from users, business, and datacenter, just to mention a few on a Best Effort (BE) basis; such traffic is commonly encapsulated into Multiprotocol Label Switching (MPLS) Label-Switched Paths (LSP) at Layer 2 for traffic engineering purposes.…”

Section: Introductionmentioning

confidence: 99%

CURSA-SQ Models for Time-Sensitive Networking

Ruiz

Careglio

Velasco

2023

2023 23rd International Conference on Transparent Optical Networks (ICTON)

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Considerable research and standardization efforts are being made to support time-sensitive traffic, e.g., generated by applications like Industry 4.0 and 5G fronthaul, on packet networks. This paper focuses on analyzing the impact of conveying time-sensitive traffic in operators' networks when such traffic is mixed with best-effort traffic. In particular, extensions to a continuous G/G/1/k queue model are proposed to evaluate two different Ethernet technologies, synchronous and asynchronous, supporting time-sensitive flows in terms of their influence on the performance of best-effort traffic.

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“…REQUENCY synchronization is the key enabling technology in modern large-scale distributed information systems and applications like time-sensitive networking for 5G fronthaul and backhaul [1][2][3][4], indoor/outdoor positioning [5,6], carrier recovery in optical communications [7,8], heterodyne receivers in coherently netted radars and radio telescopes [9][10][11][12], and data center interconnections [13,14], etc., where the disseminated and recovered frequency signals are usually essential either for carrier (local oscillator, LO) synchronization [6][7][8][9][10][11] or for precise and fine-grained time control [2,13]. The required synchronization accuracy can be at sub-nanosecond level or beyond [1,5], for decimeter/centimeter positioning, etc.…”

Section: Introductionmentioning

confidence: 99%