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5G Replicates TSN: Extending IEEE 802.1CB Capabilities to Integrated 5G/TSN Systems
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Abstract
The IEEE 802.1 time-sensitive networking (TSN) standards improve real-time capabilities of the standard Ethernet. TSN and local/private 5G systems are envisaged to co-exist in industrial environments. The IEEE 802.1CB standard provides fault tolerance to TSN systems via frame replication and elimination for reliability (FRER) capabilities. This paper presents X-FRER, a novel framework for extending FRER capabilities to the 3GPP-defined bridge model for 5G and TSN integration. The different embodiments of X-FRER realize FRER-like functionality through multi-path transmissions in a 5G system based on a single or multiple protocol data unit (PDU) sessions. X-FRER also provides enhanced replication and elimination functionality for integrated deployments. Performance evaluation shows that X-FRER empowers a vanilla 5G system with TSN-like capabilities for end-to-end reliability in integrated TSN and 5G deployments.
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Ultra-reliable and low-latency communication has received significant research attention. A key part of this evolution are the Time-Sensitive Networking (TSN) standards, which extend Ethernet with real-time mechanisms. To guarantee high reliability, the standard IEEE 802.1CB-2017 Frame Replication and Elimination for Reliability enables redundant communication over disjoint paths. While this mechanism is essential for time-critical applications, the standard contains some fundamental limitations that can compromise safety. Although some of these limitations have been addressed, none of the previous works provide solutions to these problems. This paper presents solutions to four main limitations of the IEEE 802.1CB-2017 standard. These are 1) choosing match versus vector recovery algorithm, 2) defining the length of the sequence history, 3) setting a timer to reset the sequence history, and 4) dimensioning the burst size in case of link failures. We show how these challenges can be solved by using best-and worst-case path delays of the network. We have performed simulations to illustrate the impact of the limitations and prove the correctness of our solutions. Thereby, we demonstrate how our solutions can improve reliability in TSN networks and propose these methods as guidance for users of the IEEE 802.1CB standard.
High-performance wireless communication is crucial in digital transformation of industrial systems which is driven by Industry 4.0 and the Industrial Internet initiatives. Among the candidate industrial wireless technologies, 5G (cellular/mobile) holds significant potential. Operation of private (non-public) 5G networks in industrial environments is promising to fully unleash this potential. This article provides a technical overview of private 5G networks. It introduces the concept and functional architecture of private 5G while highlighting the key benefits and industrial use-cases. It explores spectrum opportunities for private 5G networks. It also discusses design aspects of private 5G along with the key challenges. Finally, it explores the emerging standardization and open innovation ecosystem for private 5G.
Many network applications, e.g., industrial control, demand Ultra-Low Latency (ULL). However, traditional packet networks can only reduce the end-to-end latencies to the order of tens of milliseconds. The IEEE 802.1 Time Sensitive Networking (TSN) standard and related research studies have sought to provide link layer support for ULL networking, while the emerging IETF Deterministic Networking (DetNet) standards seek to provide the complementary network layer ULL support. This article provides an up-to-date comprehensive survey of the IEEE TSN and IETF DetNet standards and the related research studies. The survey of these standards and research studies is organized according to the main categories of flow concept, flow synchronization, flow management, flow control, and flow integrity. ULL networking mechanisms play a critical role in the emerging fifth generation (5G) network access chain from wireless devices via access, backhaul, and core networks. We survey the studies that specifically target the support of ULL in 5G networks, with the main categories of fronthaul, backhaul, and network management. Throughout, we identify the pitfalls and limitations of the existing standards and research studies. This survey can thus serve as a basis for the development of standards enhancements and future ULL research studies that address the identified pitfalls and limitations. IEEE
The seven articles in this special section focus on time sensitive networking (TSN), an IEEE 802.1 standard. TSN makes it possible to carry data traffic of time-critical and/or mission- critical applications over a bridged Ethernet network shared by various kinds of applications having different Quality of Service (QoS) requirements, i.e., time and/or mission critical TSN traffic and non-TSN best effort traffic. TSN provides guaranteed data transport with bounded low latency, low delay variation, and extremely low data loss for time and/or mission critical traffic. By reserving resources for critical traffic, and applying various queuing and shaping techniques, TSN achieves zero congestion loss for critical data traffic. This, in turn, allows TSN to guarantee a worst-case end-to-end latency for critical data. TSN also provides ultra-reliability for data traffic via a data packet level reliability mechanism as well as protection against bandwidth violation, malfunctioning, malicious attacks, etc. TSN includes reliable time synchronization, a profile of IEEE 1588, which provides the basis for many other TSN functions.
IEEE Standard for Local and metropolitan area networks-Frame Replication and Elimination for Reliability
"IEEE Standard for Local and metropolitan area networks-Frame Replication and Elimination for Reliability," IEEE Std 802.1CB-2017, pp.
1-102, 2017.
Virtual Time-sensitive Networking Bridge over a 5G Wireless System
- A Aijaz
A. Aijaz, "Virtual Time-sensitive Networking Bridge over a 5G
Wireless System," Jan 2023, US Patent 11564123B2. [Online].
Available: https://patents.google.com/patent/US11564123B2/