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20232026
most citedGraph neural network for in-network placement of real-time metaverse tasks in next-generation network

2 citations · 5 across the 10 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.DC2024★ 2 cited

Joint wireless and computing resource management with optimal slice selection in in-network-edge metaverse system

Sulaiman Muhammad Rashid, Ibrahim Aliyu, Abubakar Isah +4

This paper presents an approach to joint wireless and computing resource management in slice-enabled metaverse networks, addressing the challenges of inter-slice and intra-slice re…

cs.NI2024

Towards a Partial Computation offloading in In-networking Computing-Assisted MEC: A Digital Twin Approach

Ibrahim Aliyu, Awwal Arigi, Seungmin Oh +2

This paper addresses the problem of minimizing latency with partial computation offloading within Industrial Internet-of-Things (IoT) systems in in-network computing (COIN)-assiste…

cs.DC2024

Digital Twinning of a Pressurized Water Reactor Startup Operation and Partial Computational Offloading in In-network Computing-Assisted Multiaccess Edge Computing

Ibrahim Aliyu, Awwal M. Arigi, Tai-Won Um +1

This paper addresses the challenge of representing complex human action (HA) in a nuclear power plant (NPP) digital twin (DT) and minimizing latency in partial computation offloadi…

cs.LG2024

Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Network

Abubakar Isah, Ibrahim Aliyu, Jaechan Shim +2

Fifth-generation (5G) core networks in network digital twins (NDTs) are complex systems with numerous components, generating considerable data. Analyzing these data can be challeng…

cs.LG2024

Improving the Real-Data Driven Network Evaluation Model for Digital Twin Networks

Hyeju Shin, Ibrahim Aliyu, Abubakar Isah +1

With the emergence and proliferation of new forms of large-scale services such as smart homes, virtual reality/augmented reality, the increasingly complex networks are raising conc…

cs.NI2024★ 2 cited

Graph neural network for in-network placement of real-time metaverse tasks in next-generation network

Sulaiman Muhammad Rashid, Ibrahim Aliyu, Il-Kwon Jeong +2

This study addresses the challenge of real-time metaverse applications by proposing an in-network placement and task-offloading solution for delay-constrained computing tasks in ne…