DHL: Dynamic History Length for Packet Order Recovery in Time-Sensitive Networks

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Abstract

The integration of 6G and Time-Sensitive Networking (TSN) is desired to provide both mobility and deterministic communication. In TSN, Frame Replication and Elimination for Reliability (FRER) improves stream resilience using redundant paths. However, the original FRER with a fixed history length is ineffective when facing variable-delay links that cause reordering and bursty arrivals of packets. We propose the Dynamic History Length (DHL) algorithm that dynamically adjusts the FRER elimination buffer based on real-time link delay measurements. We implement and evaluate DHL in OMNeT++/INET, which provides a comprehensive and high-accuracy model of TSN switches. We compare DHL with the FRER variations. In a 100 ms dual-link simulation with latency ramps and a 10 ms outage, DHL reduces duplicate packet deliveries by 39 % compared to baseline. In terms of the 99th percentile inter-arrival intervals, DHL shows an improvement of 4.3 ms compared to the sorting and shaping algorithm, allowing it to better match the sender's 1 ms transmission interval.

Details

Original languageEnglish
Title of host publicationIEEE Globecom Workshops, GC Wkshps
Pages769-774
Number of pages6
Edition2025
ISBN (electronic)979-8-3315-6741-5
Publication statusPublished - Jul 2026
Peer-reviewedYes

Publication series

SeriesIEEE Globecom Workshops, GC Wkshps
ISSN2166-0069

Conference

Title2025 IEEE Global Communications Conference
SubtitleSustainable Communications for Ubiquitous Intelligence
Abbreviated titleGLOBECOM 2025
Duration8 - 12 December 2025
Website
LocationTaipei International Convention Center (TICC) & Taipei World Trade Center (TWTC)
CityTaipei
CountryTaiwan, Province of China

External IDs

ORCID /0000-0001-8469-9573/work/222761033
ORCID /0000-0001-7008-1537/work/222762550
ORCID /0000-0003-0745-2264/work/222762631

Keywords

Keywords

  • Frame Replication and Elimination for Reliability (FRER), OMNeT++, Time-Sensitive Networking (TSN)