Joint Sensing and Communication for mmWave VR in Metaverse: A Meta-Learning Approach-Reference-Cited by-同舟云学术

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Joint Sensing and Communication for mmWave VR in Metaverse: A Meta-Learning Approach

Published:2024-07-01 Issue:13 Volume:11 Page:24049-24060
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Huang Zhixuan¹,Yang Peng¹^ORCID,Zhou Conghao²^ORCID,Wu Wen³^ORCID,Zhang Ning⁴^ORCID

Affiliation:

1. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China

2. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada

3. Peng Cheng Laboratory, Frontier Research Center, Shenzhen, China

4. Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada

Funder

National Natural Science Foundation of China

Young Elite Scientists Sponsorship Program by CAST

Fundamental Research Funds for the Central Universities HUST

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10570342/10504855.pdf?arnumber=10504855

Reference44 articles.

1. Information Bodies: Computational Anxiety in Neal Stephenson's Snow Crash

2. A Survey on the Metaverse: The State-of-the-Art, Technologies, Applications, and Challenges

3. When Internet of Things Meets Metaverse: Convergence of Physical and Cyber Worlds

4. QoE-driven Mobile 360 Video Streaming: Predictive View Generation and Dynamic Tile Selection

5. Delay-Optimized Multi-User VR Streaming via End-Edge Collaborative Neural Frame Interpolation

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