Enhancing Mobile AR/VR and Tactile Internet with Edge Caching and Computing

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Explore how edge caching and computing in 5G networks can meet the high bandwidth, computational resource, and low latency requirements of Mobile AR/VR and Tactile Internet applications. Discover the challenges, opportunities, and existing work in this field, along with applications and potential solutions.

  • 5G Networks
  • Edge Computing
  • AR/VR
  • Tactile Internet
  • Mobile Applications

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  1. Edge Caching and Computing in 5G for Mobile AR/VR and Tactile Internet IEEE MultiMedia ( Volume: 26 , Issue: 1 , Jan.-March 1 2019 ) Author: Sukhmani Sukhmani (University of Ottawa) Mohammad Sadeghi (University of Ottawa) Melike Erol-Kantarci (University of Ottawa) Abdulmotaleb El Saddik (University of Ottawa)

  2. Introduction Mobile AR/VR and Tactile Internet need high bandwidth high computational resource low latency These requirement are not supported by current wireless mobile network Edge caching and computing can address these challenges This paper survey the few studies, and discuss the opportunities and challenges of edge caching and computing on mobile AR/VR and Tactile Internet

  3. Edge Caching & Computing Edge caching Aims to bring frequently accessed content closer to the users Edge computing Allow offloading light tasks to the edge device (heavy task be send to cloud) => Reduce latency and prevent the unnecessary traffic on backbone network

  4. Existing Work 11,12 => edge caching for AR/VR 16~18 => edge computing for AR/VR 19,20 => edge computing for tactile internet

  5. Applications Entertainment multiplayer online VR game Education remote training Art and culture museum, galleries Health care remote surgery Intelligent transportation and autonomous vehicles

  6. Challenges Cache optimization Cache size, cache priority, computing cost QoE model Current work on edge caching and computing focuses on QoS QoE haven t be explored comprehensively Fairness in offload Correlated content model Requested scene and data from different users are highly correlated with location Heterogeneous users Different user may have different local computation resource Flxible networks and SDN User Privacy

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