5 papers
Digital Twin-Assisted In-Network and Edge Collaboration for Joint User Association, Task Offloading, and Resource Allocation in the Metaverse
Ibrahim Aliyu, Seungmin Oh, Sangwon Oh +1
Advancements in extended reality (XR) are driving the development of the metaverse, which demands efficient real-time transformation of 2D scenes into 3D objects, a computation-int…
Distributed Hierarchical Machine Learning for Joint Resource Allocation and Slice Selection in In-Network Edge Systems
Sulaiman Muhammad Rashid, Ibrahim Aliyu, Jaehyung Park +1
The Metaverse promises immersive, real-time experiences; however, meeting its stringent latency and resource demands remains a major challenge. Conventional optimization techniques…
Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
Abubakar Isah, Ibrahim Aliyu, Sulaiman Muhammad Rashid +3
Graph neural networks are gaining attention in fifth-generation (5G) core network digital twins, which are data-driven complex systems with numerous components. Analyzing these dat…
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…
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…