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Work item:
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Y.det-qos-req-ml-jrs
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Subject/title:
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QoS requirements of machine learning based joint resource scheduling to support deterministic communication services across heterogeneous networks including IMT-2020 and beyond
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Status:
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Under study
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2025-07 (Medium priority)
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Liaison:
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3GPP SA2, ITU-T SG12, IEEE 802.1 TSN, IETF DetNet
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Supporting members:
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University of Science and Technology Beijing, China Unicom, Korea (Republic of)
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Summary:
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This draft new Recommendation specifies the requirements, framework and operational procedures for ML-based joint resource scheduling to support deterministic communication services across heterogeneous networks including IMT-2020 and beyond.
The scope of this recommendation is as follows.
Overview
QoS requirements of ML-based joint resource scheduling;
Framework of ML-based joint resource scheduling for heterogeneous networks;
Operational procedures of ML-based joint resource scheduling to provide QoS assurance to deterministic communication services across heterogeneous networks.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2023-11-15 14:46:37
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Last update:
2024-04-17 14:26:45
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