Flow Aggregation for Enhanced DetNet
draft-xiong-detnet-flow-aggregation-03
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| Document | Type | Active Internet-Draft (individual) | |
|---|---|---|---|
| Authors | Quan Xiong , Tianji Jiang , Jinoo Joung | ||
| Last updated | 2025-10-14 | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
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| Stream | Stream state | (No stream defined) | |
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draft-xiong-detnet-flow-aggregation-03
DetNet Q. Xiong
Internet-Draft ZTE Corporation
Intended status: Informational T. Jiang
Expires: 17 April 2026 China Mobile
J. Joung
Sangmyung University
14 October 2025
Flow Aggregation for Enhanced DetNet
draft-xiong-detnet-flow-aggregation-03
Abstract
[I-D.ietf-detnet-scaling-requirements] proposed the data plane
requirements in scaling networks. This document describes the
additional requirements for flow aggregation in enhanced DetNet and
provides the enhancement consideration. It also discusses how the
flow aggregation could be realized in a 5GS logical DetNet node
participating in enhanced DetNet.
Status of This Memo
This Internet-Draft is submitted in full conformance with the
provisions of BCP 78 and BCP 79.
Internet-Drafts are working documents of the Internet Engineering
Task Force (IETF). Note that other groups may also distribute
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Internet-Drafts are draft documents valid for a maximum of six months
and may be updated, replaced, or obsoleted by other documents at any
time. It is inappropriate to use Internet-Drafts as reference
material or to cite them other than as "work in progress."
This Internet-Draft will expire on 17 April 2026.
Copyright Notice
Copyright (c) 2025 IETF Trust and the persons identified as the
document authors. All rights reserved.
This document is subject to BCP 78 and the IETF Trust's Legal
Provisions Relating to IETF Documents (https://trustee.ietf.org/
license-info) in effect on the date of publication of this document.
Please review these documents carefully, as they describe your rights
and restrictions with respect to this document. Code Components
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extracted from this document must include Revised BSD License text as
described in Section 4.e of the Trust Legal Provisions and are
provided without warranty as described in the Revised BSD License.
Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
1.1. Requirements Language . . . . . . . . . . . . . . . . . . 3
2. Terminology . . . . . . . . . . . . . . . . . . . . . . . . . 3
3. Objectives & Requirements: Flow Aggregation in Enhanced
DetNet . . . . . . . . . . . . . . . . . . . . . . . . . 3
3.1. DetNet Services to Aggregated Flows across Domains . . . 3
3.2. Aggregated vs. Fine-grained QoS Provisioning . . . . . . 4
3.3. Scale Down States Maintenance at Transit Nodes at
Class-aggregated Level . . . . . . . . . . . . . . . . . 5
4. Enhancement Consideration for Flow Aggregation . . . . . . . 6
4.1. Flow Classification . . . . . . . . . . . . . . . . . . . 6
4.2. Flow Identification . . . . . . . . . . . . . . . . . . . 6
4.3. Flow Coordination . . . . . . . . . . . . . . . . . . . . 7
5. Realization of Flow Aggregation for 5GS DetNet . . . . . . . 7
5.1. Realization of 5GS DetNet Service across Domains . . . . 8
5.2. 5GS QoS Provisioning: Aggregated vs. Fine-grained . . . . 8
5.3. State Maintenance at a 5GS Transit node . . . . . . . . . 9
5.4. Flow Classification & Identification at 5GS node . . . . 9
6. Security Considerations . . . . . . . . . . . . . . . . . . . 10
7. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 10
8. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 10
9. References . . . . . . . . . . . . . . . . . . . . . . . . . 10
9.1. Normative References . . . . . . . . . . . . . . . . . . 10
9.2. Infomative References . . . . . . . . . . . . . . . . . . 11
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 12
1. Introduction
The [RFC8655] clearly states that Deterministic Networking (DetNet)
operates at the IP layer and delivers service which provides
extremely low data loss rates and bounded latency. The DetNet data
plane must provide the aggregation of DetNet flows in order to
support larger numbers of DetNet flows and improve scalability by
reducing the per-hop states. The [RFC8938] introduces that the flow
aggregation is the ability to aggregate individual flows along with
their associated resource control into a large aggregate. It is
recommended that the DetNet flow aggregation be enabled for
compatible flows with the same or very similar QoS and CoS
characteristics via the use of wildcards, masks, prefixes, and
ranges. It also suggests the reduction of per-hop states help avoid
the per DetNet-flow specific state maintenance in a transit node. It
further provides arguments on how DetNet services might be realized
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in term of delay bound, delay jitter and bandwidth provisioning.
Furthermore, the [RFC8964] has proposed and expanded two methods of
flow aggregation, one being the aggregation via LSP hierarchy and the
other to aggregate DetNet flows as a new combined DetNet flow.
For enhanced DetNet, [I-D.ietf-detnet-scaling-requirements] proposed
the data plane requirements and it should support the explicit
aggregated flow identification. In scaling networks, it also should
support aggregated flows over multi-domains and achieve different
levels of co-existed applications with different SLAs requirements
which requiring the fine-grained QoS provisioning through flow
aggregation. Moreover, the aggregated flows still requires a large
amount of control signaling to establish and maintain the states of
DetNet flows in enhanced DetNet. It is required to improve the
scalability and forward packets at the class-aggregate level, instead
of the per-flow or flow-aggregate level.
This document describes the additional requirements of flow
aggregation in enhanced DetNet and provides the enhancement
consideration. It also discusses the realization of DetNet flow
aggregation for 5GS.
1.1. Requirements Language
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
document are to be interpreted as described in RFC 2119 [RFC2119].
2. Terminology
The terminology is defined as [RFC8655].
3. Objectives & Requirements: Flow Aggregation in Enhanced DetNet
3.1. DetNet Services to Aggregated Flows across Domains
Flow aggregation is recommended in the multi-domain scenario to
achieve the end-to-end QoS guarantees for aggregated flow(s) that
span across multiple domains. As per
[I-D.ietf-detnet-scaling-requirements], different network
implementations may be intended for different application domains,
where there is no additional requirements for the coordination. As
defined in [ITU-T Y.2122], the network operating parameters of a flow
aggregate should be exchanged among different network domains. As
shown in Figure 1, the DetNet domain B receiving an aggregated flow
should identify the flow and get the service requirements such as the
QoS parameters of the flow aggregate.
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Individual Flows +-----------------+ +-----------------+
-------> | | | |
...... | DetNet Domain A | Aggregated Flow | DetNet Domain B |
-------> | | --------------> | |
+-----------------+ +-----------------+
Figure 1: Aggregating DetNet Flows across Multiple Domains
3.2. Aggregated vs. Fine-grained QoS Provisioning
The draft [I-D.ietf-detnet-scaling-requirements] specifies that
different levels of applications differ in the SLAs requirements such
as tight jitter, strict latency, loose latency and so on. While
these types of aggregated requirements might bear the coarse-grained
nature, individual flows demand differentiated DetNet treatments and
more granular QoS forwarding behaviors. A DetNet node or domain
adopting multiple forwarding technologies needs to transmit
individual flows by aggregating them into a selected treatment
solution that corresponds to one of some pre-defined per-hop QoS
behaviors, as shown in Figure 2. The DetNet flows with the same
level of service requirements can be aggregated to receive collective
treatments and forwarding behaviors. The DetNet flows can be
aggregated to several pre-defined classes. For example, as per
[I-D.jlg-detnet-5gs], a 5GS as a logical DetNet node requires to
achieve the service requirements and service levels of the aggregated
flows, along with the provisioning of fine-grained per-hop behavior
(PHB) to each individual flow.
DetNet-aware Node/Network
+--------------------------+
Aggregated-flow 1 ----->| Per-hop QoS Behavior 1 |
+--------------------------+
Aggregated-flow 2 ----->| Per-hop QoS Behavior 2 |
+--------------------------+
.... | ... |
+--------------------------+
Aggregated-flow n ----->| Per-hop QoS Behavior N |
+--------------------------+
Figure 2: Aggregating DetNet flows to corresponding QoS PHBs
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3.3. Scale Down States Maintenance at Transit Nodes at Class-aggregated
Level
As per [I-D.ietf-detnet-dataplane-taxonomy], the treatment solutions
in data plane can be categorized based on performance and functional
characteristics. For example, the category of a solution can be
classified based on the traffic granularity, e.g., flow aggregate vs.
class level. The class level is provided to simplify the control and
accommodate traffic fluctuations by combining flows requiring the
same or similar levels of service requirements. The flow aggregation
based on the class level could further improve the scalability. As
per [I-D.ietf-detnet-scaling-requirements], there may be a large
number of traffic flows in a scaling network, which makes it nearly
impossible to achieve the flow-specific state identification. As
shown in the Figure 3, the flow identification of aggregated-class
can be used to indicate the required treatment and forwarding
behaviors without the need to maintain excessive states at transit
nodes.
Individual Aggregated
Flows +-------------+ Flow(s) +-------------+ +-------------+
-------> | | | | | |
.... |DetNet Node A|---------->|DetNet Node B|----->...|DetNet Node N|
-------> | | | | | |
+-------------+ +-------------+ +-------------+
'Bucketed' into
Large number of Fewer number of classes
Individual Flows -----------------> consisting of aggregated flows
Figure 3: Aggregating DetNet Flows to Improve Scalability
When DetNet flows are aggregated based on service-class level,
transit nodes provide deterministic services to a flow aggregate and
go through the per-class scheduling without the burden to maintain
excessive per-flow states. Still, a transit node performing
aggregation should ensure all per-flow service requirements within an
aggregated class are achieved. For example, the latency or jitter
bounds of an aggregated class shall not exceed the corresponding
metrics of any individual flow that has been bucketed into the class.
The aggregation based on the class level has data plane and
controller plane aspects.
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4. Enhancement Consideration for Flow Aggregation
This document proposes an enhancement for DetNet flow aggregation
including the functions such as flow classification, flow
identification and flow coordination.
4.1. Flow Classification
The DetNet QoS can be achieved by aggregating flows based on DetNet
flow-specific traffic classification and providing the traffic-
forwarding treatment. The flow classification should consider the
flow-specific characteristics such as traffic specification and
service requirements. For example, the DetNet flows MAY be
classified based on the service SLAs requirements of applications in
scaling networks as per [I-D.xiong-detnet-differentiated-detnet-qos].
And the services can also be classified into tight/loose latency,
large/small burst, periodic/non-periodic and large/small scale
services as per [I-D.ietf-detnet-dataplane-taxonomy]. Several
classes can be predefined to indicate the different levels of
applications with SLAs requirements and each class demands
differentiated QoS behaviors and treatment as well as different
DetNet capabilities in scaling networks.
For the controller plane, the service should be provisioned on an
aggregated-class level. The resources should be controlled and
scheduled on a per-class basis and the routes should be established
to meet the service requirements with the allocated resources. The
edge nodes must be able to handle admission control for DetNet flows
to an aggregated class based on the available resources. For the
data plane, when DetNet flows are aggregated to a class, transit
nodes provide service to the aggregate and not on a per-DetNet-flow
basis. And the transit nodes supporting this type of aggregation
should identify the class of the aggregated flows and ensure that
individual flows receive the corresponding traffic treatment and
forwarding behaviour.
4.2. Flow Identification
The flow identification is used to identify the aggregated flow and
to indicate the required treatment and forwarding behaviors. As
described in [I-D.ietf-detnet-scaling-requirements], it is required
to be dynamic and simplified to ensure the aggregated flows have
compatible DetNet flow-specific QoS characteristics. For the data
plane, individual flows may be aggregated for treatment based on
shared service specification on aggregated-class level which is
identified by an aggregation class (A-Class). A transit node should
provide the class level traffic treatment based on A-Class. The
aggregation class information may be used alone or together with
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other metadata to indicate the required queuing and forwarding
behaviors. The encoding of the A-Class may reuse the DSCP/TC or
existing field such as the TC field in A-Label as per [RFC8964]. And
it also can be encapsulated with the deterministic latency
information as per [I-D.xiong-detnet-data-fields-edp].
4.3. Flow Coordination
In scaling networks, flow aggregations become more prevalent, with
flows frequently joining and leaving, which may potentially lead to
accumulated bursts of flows across multiple hops. Such challenges
can be mitigated by coordinating packets within aggregated flows such
as proportional scheduling and interleaving. Proportional scheduling
could allocate transmission opportunities based on flow weights,
ensuring that each flow receives a fair share of network resources.
Interleaving could achieve micro burst smoothing by rotating the
transmission of packets across different flows through timed gates as
described in [I-D.eckert-detnet-flow-interleaving].
5. Realization of Flow Aggregation for 5GS DetNet
The 3GPP in its document [TS.23.501] has defined and standardized how
a 5G system (5GS) may behave as a logical DetNet node, as well as how
a 5GS DetNet node may integrate into the IP-domain DetNet as
described in [RFC8655]. 3GPP has realized the functionalities of the
DetNet forwarding sub-layer.
As a logical DetNet transit node, a 5GS behaves as a transparent box
to external DetNet entities. It can connect to either DetNet end
systems or full-fledged IP DetNet domain(s) or both. The 3GPP
[TS.23.501] has demonstrated a ‘composite’ architecture in that a 5GS
could act as one or more DetNet nodes upon the integration into the
IP DetNet domain. The granularity of determining a 5GS DetNet node
is per UPF for each network instance, with the corresponding UPF-id
identified as the 5GS DetNet node-id.
The 3GPP [TS.23.503] has implicitly specified two types of DetNet
related traffic parameters. One type is the higher-level per-
(logical)-node QoS requirements like the node max-latency, max-loss,
etc., while the other is more granular settings with which DetNet
flow attributes and specifications are mapped to the Flow Description
information. The DetNet flow specifications could be based on IP-
tuple information, e.g., including IP address, protocol type, ToS,
TCP/DUP ports, etc. The document [I-D.jlg-detnet-5gs] has provided
more details.
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Please note that this draft revolves around the general discussions
of the flow aggregations in enhanced DetNet across multiple domains.
It emphasizes the objectives & requirements, along with insightful
considerations for the possible enhancement to the matter. This
indicates the generic principles that are related to the cross-domain
flow aggregation as raised in the draft. While the 3GPP [TS.23.503]
defines a 5GS may behave as a logical DetNet (transit) node and the
5GS does own certain advantageous features for a 'composite' DetNet
instantiation, the (DetNet) flow aggregation is not an intrinsic
characteristics that has been fulfilled in the 5GS. As we explain in
the following subsection , the realization of flow aggregation for a
5GS DetNet 'composite' node particiating in an enhanced DetNet
domains requires the seamless interactions between the IETF domain
(DetNet) controller and the 5GS domain counterpart.
5.1. Realization of 5GS DetNet Service across Domains
3GPP has so far standardized the forward sub-layer functionality for
5GS. It indicates a 5GS (logical) DetNet node could connect to other
end systems and/or IP DetNet domains, together to form a holistic
end-to-end DetNet. Thanks to the 'composite' architecture of a 5GS
node, along with the interaction between an CPF:DetNet controller in
IETF domain and the NF TSCTSF in 3GPP domain [TS.23.501], a 5GS node
might realize much more advanced DetNet services than a traditional
IP DetNet transit node.
In scenarios where the (IETF-domain) CPF:Detnet Controller could well
divide the DetNet QoS service requirements that are in reality
associated with an integrated DetNet domain into multiple QoS sub-
requirements that together form the original end-to-end QoS
equivalence, a 5GS might be considered as a standalone DetNet
(sub-)domain with its own DetNet QoS (sub-)requirements that would be
provisioned from the CPF:DetNet controller. The 5GS DetNet QoS
(sub-)requirements serve a portion of the original requirements of
the integrated DetNet domain. These together form a scaling network
to realize the 5GS DetNet service across domains.
5.2. 5GS QoS Provisioning: Aggregated vs. Fine-grained
We have explained previously that the 3GPP [TS.23.503] has implicitly
specified two categories of DetNet related traffic parameters. One
type bears the aggregated nature for (5GS DetNet) node-level
requirements, while the other addresses the more granular DetNet
flow-level attributes and specifications. Evidently, with this kind
of two-hierarchy architecture, a 5GS DetNet node could achieve not
only the node-level aggregated QoS requirements, but also the more
fine-grained flow-level QoS provisioning. This reflects the true
value of applying our flow aggregation model in scaling networks to
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realizing advanced DetNet services for 5GS.
Here, we want to point out that the feasibility of applying our flow
aggregation scheme indeed depends on the hierarchical nature of a 5GS
DetNet node. Had the same aggregation scheme been applied to DetNet
nodes that do not have the similar intrinsic hierarchy, the
effectiveness could be certainly impaired.
5.3. State Maintenance at a 5GS Transit node
The 5GS QoS architecture is roughly comprised of three levels, i.e.,
the UE, the PDU-session, and the QoS-flow levels. Technically, a 5GS
DetNet node is of 'composite' nature with a large number of
configuration, provisioning, operation and runtime states to
maintain. At first glance, this might undermine the state-reduction
objective via the flow aggregation for a 5GS DetNet transit node.
Fortunately, the 5GS DetNet work owns intrinsically a couple of
aspects to handle the challenges:
First, also as we have mentioned before, a 5GS node behaves as a
transparent entity participating in the DetNet domain. Thus, even
having a significant number of states, this can naturally have the
5GS DetNet related states remain hidden from the external
entities(and domains).
Second, the 3GPP NF TSCTSF exchanges only traffic parameters with the
IETF CPF:Detnet Controller, but not the states that are maintained
inside a 5GS DetNet node. The external DetNet domain does not care
the inside status of a 5GS, nor can it.
5.4. Flow Classification & Identification at 5GS node
As we have explained so far, the IETF domain CPF:DetNet controller
provides traffic parameters & specifications to 3GPP NF TSCTSF.
Thus, the SLA requirements of applications in scaling networks could
be readily pre-specified in the IETF DetNet CPF, which would then
apply the flow classification mapping (to aggregated service classes)
and send them over to a 5GS DetNet node to enforce. This model can
also relieve the classification burden of a 5GS node in reality.
The 5GS has excellent control logics to address flow identification.
For example, PDRs (Packet Detection Rules), SDF (Service Data Flow)
filters (e.g., IP-filter, MAC-filter, etc.), etc., are all good tools
to differentiate flows [TS.23.501]. Further, the 5GS has
standardized powerful procedures for the establishment & update of
PDU sessions/QoS flows, which accordingly achieves the flow dynamics
(e.g., flow joining & leaving a flow-aggregate as manifested
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potentially by a PDU session) [TS.23.502]. Moreover, some QoS
parameters, e.g., Aggregated Bit Rate (ABR), may stand at different
levels, including UE-ABR, Session-ABR, flow-ABR, etc., that would
make the service differentiation & sharing on the aggregated-class
(A-Class) level feasible.
6. Security Considerations
Security considerations for DetNet are covered in the DetNet
Architecture [RFC8655] and DetNet security considerations [RFC9055].
7. IANA Considerations
This document makes no requests for IANA action.
8. Acknowledgements
TBA
9. References
9.1. Normative References
[I-D.ietf-detnet-dataplane-taxonomy]
Joung, J., Geng, X., Peng, S., and T. T. Eckert,
"Dataplane Enhancement Taxonomy", Work in Progress,
Internet-Draft, draft-ietf-detnet-dataplane-taxonomy-04, 7
July 2025, <https://datatracker.ietf.org/doc/html/draft-
ietf-detnet-dataplane-taxonomy-04>.
[I-D.ietf-detnet-scaling-requirements]
Liu, P., Li, Y., Eckert, T. T., Xiong, Q., Ryoo, J.,
zhushiyin, and X. Geng, "Requirements for Scaling
Deterministic Networks", Work in Progress, Internet-Draft,
draft-ietf-detnet-scaling-requirements-09, 7 September
2025, <https://datatracker.ietf.org/doc/html/draft-ietf-
detnet-scaling-requirements-09>.
[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
Requirement Levels", BCP 14, RFC 2119,
DOI 10.17487/RFC2119, March 1997,
<https://www.rfc-editor.org/info/rfc2119>.
[RFC8174] Leiba, B., "Ambiguity of Uppercase vs Lowercase in RFC
2119 Key Words", BCP 14, RFC 8174, DOI 10.17487/RFC8174,
May 2017, <https://www.rfc-editor.org/info/rfc8174>.
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[RFC8655] Finn, N., Thubert, P., Varga, B., and J. Farkas,
"Deterministic Networking Architecture", RFC 8655,
DOI 10.17487/RFC8655, October 2019,
<https://www.rfc-editor.org/info/rfc8655>.
[RFC8938] Varga, B., Ed., Farkas, J., Berger, L., Malis, A., and S.
Bryant, "Deterministic Networking (DetNet) Data Plane
Framework", RFC 8938, DOI 10.17487/RFC8938, November 2020,
<https://www.rfc-editor.org/info/rfc8938>.
[RFC8964] Varga, B., Ed., Farkas, J., Berger, L., Malis, A., Bryant,
S., and J. Korhonen, "Deterministic Networking (DetNet)
Data Plane: MPLS", RFC 8964, DOI 10.17487/RFC8964, January
2021, <https://www.rfc-editor.org/info/rfc8964>.
[RFC9055] Grossman, E., Ed., Mizrahi, T., and A. Hacker,
"Deterministic Networking (DetNet) Security
Considerations", RFC 9055, DOI 10.17487/RFC9055, June
2021, <https://www.rfc-editor.org/info/rfc9055>.
[RFC9320] Finn, N., Le Boudec, J.-Y., Mohammadpour, E., Zhang, J.,
and B. Varga, "Deterministic Networking (DetNet) Bounded
Latency", RFC 9320, DOI 10.17487/RFC9320, November 2022,
<https://www.rfc-editor.org/info/rfc9320>.
9.2. Infomative References
[I-D.eckert-detnet-flow-interleaving]
Eckert, T. T., "Deterministic Networking (DetNet) Data
Plane - Flow interleaving for scaling detnet data planes
with minimal end-to-end latency and large number of
flows.", Work in Progress, Internet-Draft, draft-eckert-
detnet-flow-interleaving-03, 7 July 2025,
<https://datatracker.ietf.org/doc/html/draft-eckert-
detnet-flow-interleaving-03>.
[I-D.jlg-detnet-5gs]
Jiang, T., Liu, P., and X. Geng, "DetNet YANG Model
Extension for 5GS as a Logical DetNet Node", Work in
Progress, Internet-Draft, draft-jlg-detnet-5gs-01, 20
October 2023, <https://datatracker.ietf.org/doc/html/
draft-jlg-detnet-5gs-01>.
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[I-D.xiong-detnet-data-fields-edp]
Xiong, Q., Liu, A., Gandhi, R., and D. Yang, "Data Fields
for DetNet Enhanced Data Plane", Work in Progress,
Internet-Draft, draft-xiong-detnet-data-fields-edp-03, 1
July 2025, <https://datatracker.ietf.org/doc/html/draft-
xiong-detnet-data-fields-edp-03>.
[I-D.xiong-detnet-differentiated-detnet-qos]
Xiong, Q., Zhao, J., Du, Z., Zeng, Q., and C. Liu,
"Differentiated DetNet QoS for Deterministic Services",
Work in Progress, Internet-Draft, draft-xiong-detnet-
differentiated-detnet-qos-01, 27 June 2024,
<https://datatracker.ietf.org/doc/html/draft-xiong-detnet-
differentiated-detnet-qos-01>.
[TS.23.501]
"3GPP TS 23.501 (V19.0.0): System Architecture for the 5G
System (5GS)", 3GPP TS 23.501, June 2024.
[TS.23.502]
"3GPP TS 23.502 (V19.0.0): Procedures for the 5G System
(5GS)", 3GPP TS 23.502, June 2024.
[TS.23.503]
"3GPP TS 23.503 (V19.0.0): Policy and charging control
framework for the 5G System (5GS); Stage 2", 3GPP TS
23.503, June 2024.
Authors' Addresses
Quan Xiong
ZTE Corporation
China
Email: xiong.quan@zte.com.cn
Tianji Jiang
China Mobile
Email: tianjijiang@chinamobile.com
Jinoo Joung
Sangmyung University
Email: jjoung@smu.ac.kr
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