[agents] CfP MobiCom Workshop 6G-PDN

[ANTONIO DE LA OLIVA DELGADO]

Apologies for cross posting

2nd workshop on 6G Programmable Deterministic Networking with AI (6GPDN)

Over the past decade the mobile communications system has transformed into
a fundamental infrastructure that supports digital demands from all
industry sectors. 6G is envisioned to accelerate the path started in 5G for
catering to the needs of a wide variety of vertical use cases, both current
and emerging. That will however require major enhancements to the current
5G capabilities, in terms of well-established key performance indicators
(latency, reliability, bandwidth etc.), as well as new key value indicators
(sustainability, trustworthiness etc.) that are currently being formed.
Creating a deterministic network, understood as end-to-end time sensitive,
reliable, and predictable communications, remains a challenge for cellular
networks, especially in an industrial context. Wired deterministic
communication standards have already emerged including Time Sensitive
Networking (TSN) and Deterministic Networking (DetNet) and 5G has specified
mechanisms for interworking with those standards. However, the available
support of 5G in conjunction with TSN and DetNet is not sufficient for
future end-to-end time-critical applications. Network programmability and
predictability is key in supporting emerging 6G networks in achieving their
promises of increased performance and flexibility at a lower cost. Deep
network programmability, that is the ability to program the network fabric
both vertically (control and data plane) and horizontally (end-to-end from
the radio to edge and core network), is expected to characterize the new
generation of mobile networks (6G), currently under development, towards
supporting extreme performance requirements and service-specific
operations. Enriching next-generation mobile networks with data plane
programming capabilities can bring significant benefits with regards to
network slicing and multi-tenancy, dynamic traffic engineering, offloading
network functions to the data plane, etc. Coupled with edge solutions and
advanced machine learning algorithms for prediction and network automation
can help to overcome network performance limits, e.g., in terms of latency
and deterministic delivery.

This workshop aims to bring together academic and industry researchers to
stimulate discussions, introduce news ideas and technical solutions in the
aforementioned areas and therefore contribute to theprogress of 6G
networking research. Submitted papers may cover any of the following topics:

Programmable data planes for TSN
Enhancements towards 6G TSN and DetNet integration
Network softwarization for 6G
Programmable networking protocols
Programmable SDN and NFV: languages and architectures (P4 and others)
Hardware acceleration for programmable network functions
Multitenant data planes
Orchestration and management of software-defined deterministic networks
Control and management of data plane programmable devices
Artificial intelligence for deterministic networks
In network machine learning
In-network service level tuning and optimization; QoS
High precision traffic monitoring/telemetry
Service assurance and fulfilment programmability
Slicing for 6G
Intent-based systems and digital twinning applied in 6G
Routing and scheduling algorithms for reliable and real-time IoT
Trustworthy edge and cloud computing architectures and services

Important dates:

- July 19 2024
Workshop Paper Submission
- August 23 2024
Notification of Acceptance
- September 13 2024
Camera-ready Workshop Papers
- November 18 2024
Workshop Date

-- 
Antonio de la Oliva
Associate Professor
Telematics Department
Universidad Carlos III de Madrid
E-mail: aoliva at it.uc3m.es
Phone: +34 91 624 8803
Fax:   +34 91 624 8749
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