Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 48 min ago
PreprintCC BY 4.0arXiv

Decomposing URLLC Deadline Failures in Beam-Managed 6G Networks: Implications for Mission-Critical Wireless Systems

Abstract

Mission-critical wireless systems require ultra-reliable low-latency communications (URLLC), which sixth-generation (6G) millimeter-wave (mmWave) beam-managed networks are designed to provide. However, the reported URLLC deadline miss rate often masks the specific causes of packet failures. This paper introduces a framework that categorizes missed URLLC packets into three causes: queueing-limited (Q), transmission-limited (T), and beam-tracking-limited (B). Our analysis across ten scenarios with antenna counts from 64 to 4096 reveals three key findings. First, the dominant cause of missed packets shifts from Q to B when the antenna count exceeds roughly 1825. Therefore, operators of hyper-massive arrays should focus on improving beam-tracking accuracy to reduce the miss rate. Second, the beam-sweep period (Tsw) significantly affects B-misses, while Q and T remain relatively unchanged. Reducing Tsw from 20ms to 10ms can cut the B-misses by more than half, without requiring a redesign of the scheduler. Third, Q-misses reach a cumulative distribution function (CDF) of approximately 0.98 by 0.8ms, so modest latency-budget relaxation can accommodate most overruns. In contrast, B-misses remain unsaturated at 12ms, making them difficult to accommodate within practical application-layer latency limits. Overall, this framework transforms an ambiguous aggregate miss-rate metric into a clear three-way diagnostic tool that directly informs remedial actions for network operators.

Related

  1. Critical initialization destabilizes higher input derivatives in wide scalar-input networks
    Prashant Singh, Pranav Singh
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  2. Lumping of reaction networks: Generic and critical parameters
    Justin Eilertsen, Valery G. Romanovski, Santiago Schnell +1
    arXivPreprintCC BY 4.0Full textSystems & synthetic biologyPhysical chemistryarXiv
  3. Identifying critical risk factors in railway operations based on directed weighted complex networks and combinatorial weighting-TOPSIS
    Guanyi Liu, Xuewei Li, Rui Yang
    PLOS OnePeer-reviewedCC BY 4.0Full textAlgebra & number theoryGeometry & topologyPLOS
  4. Decomposing the Action of Macdonald Operators for Classical Types
    Hieu Trung Vu
    arXivPreprintCC BY-SA 4.0Full textAlgebra & number theoryCombinatorics & discrete mathematicsarXiv
  5. Decomposing multigraphs into two Class I subgraphs with prescribed maximum degrees
    Yonglei Chen, Yan Cao
    arXivPreprintCC BY 4.0Full textCombinatorics & discrete mathematicsarXiv
BibTeX
@misc{montlouis2026decomposing,
  title = {{Decomposing URLLC Deadline Failures in Beam-Managed 6G Networks: Implications for Mission-Critical Wireless Systems}},
  author = {Webert Montlouis and Sneihil Gopal},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.22411},
  eprint = {2610.22411},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.22411},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Decomposing URLLC Deadline Failures in Beam-Managed 6G Networks: Implications for Mission-Critical Wireless Systems
AU  - Webert Montlouis
AU  - Sneihil Gopal
PY  - 2026
DA  - 2026/10/14
PB  - arXiv
DO  - 10.48550/arxiv.2610.22411
UR  - https://arxiv.org/abs/2610.22411
AB  - Mission-critical wireless systems require ultra-reliable low-latency communications (URLLC), which sixth-generation (6G) millimeter-wave (mmWave) beam-managed networks are designed to provide. However, the reported URLLC deadline miss rate often masks the specific causes of packet failures. This paper introduces a framework that categorizes missed URLLC packets into three causes: queueing-limited (Q), transmission-limited (T), and beam-tracking-limited (B). Our analysis across ten scenarios with antenna counts from 64 to 4096 reveals three key findings. First, the dominant cause of missed packets shifts from Q to B when the antenna count exceeds roughly 1825. Therefore, operators of hyper-massive arrays should focus on improving beam-tracking accuracy to reduce the miss rate. Second, the beam-sweep period (T_sw) significantly affects B-misses, while Q and T remain relatively unchanged. Reducing T_sw from 20ms to 10ms can cut the B-misses by more than half, without requiring a redesign of the scheduler. Third, Q-misses reach a cumulative distribution function (CDF) of approximately 0.98 by 0.8ms, so modest latency-budget relaxation can accommodate most overruns. In contrast, B-misses remain unsaturated at 12ms, making them difficult to accommodate within practical application-layer latency limits. Overall, this framework transforms an ambiguous aggregate miss-rate metric into a clear three-way diagnostic tool that directly informs remedial actions for network operators.
ER  -