Towards a URLLC-Aware Programmable Data Path with P4 for Industrial 5G Networks

Gökarslan, Kerim; Sandal, Yagmur Sabucu; Tuǧcu, Tuna

doi:10.1109/iccworkshops50388.2021.9473859

Cited by 14 publications

(10 citation statements)

References 16 publications

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“…Gokarslan et al [157] propose a programmable data plane for industrial 5G networks in P4, which reduces processing, provides a network monitoring mechanism, as well as enhancing the security of the network. The proposed data plane pipeline operates on the connection between RAN and User Plane Function (UPF).…”

Section: G/5g/6gmentioning

confidence: 99%

“…They have leveraged network elements to perform some control plane procedures, or offloadable mobile packet core network functions like Serving Gateway and User Plane Function. The studies in [154], [155], [156], [157], [158] have leveraged in-network computing for faster processing in other areas of 4G/5G/6G including 5G network slicing, 6G applications, LTE serving IoT application, and monitoring/securing 5G networks.…”

Section: E Summary Comparisons Insights and Lessons Learnedmentioning

confidence: 99%

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A Survey on In-Network Computing: Programmable Data Plane and Technology Specific Applications

Kianpisheh

Taleb

2023

IEEE Commun. Surv. Tutorials

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In comparison with cloud computing, edge computing offers processing at locations closer to end devices and reduces the user experienced latency. The new recent paradigm of innetwork computing employs programmable network elements to compute on the path and prior to traffic reaching the edge or cloud servers. It advances common edge/cloud server based computing through proposing line rate processing capabilities at closer locations to the end devices. This paper discusses use cases, enabler technologies and protocols for in-network computing. According to our study, considering programmable data plane as an enabler technology, potential in-network computing applications are in-network analytics, in-network caching, innetwork security, and in-network coordination. There are also technology specific applications of in-network computing in the scopes of cloud computing, edge computing, 5G/6G, and NFV. In this survey, the state of the art, in the framework of the proposed categorization, is reviewed. Furthermore, comparisons are provided in terms of a set of proposed criteria which assess the methods from the aspects of methodology, main results, as well as application-specific criteria. Finally, we discuss lessons learned and highlight some potential research directions.

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Section: G/5g/6gmentioning

confidence: 99%

Section: E Summary Comparisons Insights and Lessons Learnedmentioning

confidence: 99%

A Survey on In-Network Computing: Programmable Data Plane and Technology Specific Applications

Kianpisheh

Taleb

2023

IEEE Commun. Surv. Tutorials

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“…Many authors have proposed solutions for 5G networks with numerous coexisting IoT devices and URLLC services [3,13,[34][35][36][37][38][39][40][41][42][43][44]. The authors of [3,[39][40][41][42] proposed mechanisms for bandwidth resource allocation, differentiation of access time, or frequency reuse in the RAN of 5G networks to enable the provision of multiple service types by reducing the probability of access collisions and increasing the efficiency of bandwidth use.…”

Section: Related Workmentioning

confidence: 99%

“…Hence, the authors of [13,[36][37][38][43][44][45] proposed using SDN and NFV to implement 5G NS and facilitate network management, scaling, and adaptation. In [13,36], the functional concepts required to implement E2E NS at each vertical layer in SDN were discussed.…”

Section: Related Workmentioning

confidence: 99%

“…The enhanced switch could autonomously define forwarding rules by using P4 registers, thereby preventing SDN controller overload. The authors of [44] presented a programmable data transmission path design between user equipment-RAN and user plane function for industrial 5G networks. They also discussed methods of supporting URLLC services with lower latency in 5G networks by using P4 switches as required in industrial applications.…”

Section: Related Workmentioning

confidence: 99%

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Network Slicing for mMTC and URLLC Using Software-Defined Networking with P4 Switches

Hwang

Shen

et al. 2022

Electronics

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Massive machine-type communication (mMTC) and ultra-reliable low-latency communication (URLLC) are two key services in fifth-generation (5G) mobile wireless networks. These networks have been developed with extremely high service quality requirements: scalability for mMTC and reliability with low latency for URLLC. Fifth-generation network slicing will play a key role in supporting the distinct requirements of various services. Software-defined networking (SDN), a promising technology for network softwarization, physically separates the network control plane from the data plane by centrally controlling switches with an SDN controller. However, control channel bottleneck and processing delays due to this centralized control may reduce the scalability, reliability, and security of SDN. This paper proposes an SDN framework with programming protocol–independent packet processor (P4) switches (SDNPS), and defines a packet format containing in-band network telemetry data to simultaneously support heavy Internet of Things and URLLC traffic in 5G network slices. The method both satisfies the requirements of mMTC and URLLC and alleviates the load on the SDN controller. P4 is an advanced switch interface technology that provides enhanced stateful forwarding and reveals a persistent state on the SDN data plane. To demonstrate the superiority of SDNPS, simulations are performed on conventional SDNs and SDNPS. SDNPS outperforms the other schemes in terms of average throughput, packet loss ratio, and packet delay for both the mMTC and URLLC network slices.

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Strengthening network slicing for Industrial Internet with deep reinforcement learning

Tan

Wang

2023

Digital Communications and Networks

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Towards a URLLC-Aware Programmable Data Path with P4 for Industrial 5G Networks

Cited by 14 publications

References 16 publications

A Survey on In-Network Computing: Programmable Data Plane and Technology Specific Applications

A Survey on In-Network Computing: Programmable Data Plane and Technology Specific Applications

Network Slicing for mMTC and URLLC Using Software-Defined Networking with P4 Switches

Strengthening network slicing for Industrial Internet with deep reinforcement learning

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