Dynamic Partial Computation Offloading for the Metaverse in In-Network Computing-Reference-Cited by-同舟云学术

Dynamic Partial Computation Offloading for the Metaverse in In-Network Computing

Published:2024 Issue: Volume:12 Page:11615-11630
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Aliyu Ibrahim¹^ORCID,Oh Seungmin¹^ORCID,Ko Namseok²^ORCID,Um Tai-Won³^ORCID,Kim Jinsul¹^ORCID

Affiliation:

1. Department of ICT Convergence System Engineering, Chonnam National University, Gwangju, South Korea

2. Mobile Core Network Research Section, Electronics and Telecommunications Research Institute, Daejeon, South Korea

3. Graduate School of Data Science, Chonnam National University, Gwangju, South Korea

Funder

Electronics and Telecommunications Research Institute

Korean Government

Institute of Information and Communications Technology Planning and Evaluation

Korean Government [Ministry of Science and ICT (MSIT)] through the Artificial Intelligence Innovation Hub

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10366259.pdf?arnumber=10366259

Reference51 articles.

1. All one needs to know about Metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda;Lee;arXiv:2110.05352,2021

2. Multi-Agent Deep Reinforcement Learning for Digital Twin over 6G Wireless Communication in the Metaverse

3. XR and 5G: Extended reality at scale with time-critical communication

4. Resource Allocation for Mobile Metaverse with the Internet of Vehicles over 6G Wireless Communications: A Deep Reinforcement Learning Approach

5. Partial Computation Offloading in Parked Vehicle-Assisted Multi-Access Edge Computing: A Game-Theoretic Approach

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comprehensive survey on resource allocation for edge-computing-enabled metaverse;Computer Science Review;2024-11