Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

VR content caching method based on mobile edge computing network

An edge computing and content caching technology, applied in the direction of network traffic/resource management, wireless communication, transmission system, etc., can solve problems such as ignoring active storage and computing collaborative computing resource utilization efficiency, and achieve optimal resource allocation strategies and efficient resource utilization. The effect of allocating and solving delay problems

Active Publication Date: 2022-05-03
CHONGQING UNIV OF POSTS & TELECOMM
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, there are still some deficiencies in the research on active caching in MEC networks
Most active caching studies only focus on the stored content and storage location according to the user's future needs and mobile routes, or actively calculate the user's tasks, while ignoring the synergy between active storage and computing in the MEC network and when actively storing content. Utilization efficiency of cache and computing resources

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • VR content caching method based on mobile edge computing network
  • VR content caching method based on mobile edge computing network
  • VR content caching method based on mobile edge computing network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0033] The present invention is based on a system model of a mobile edge computing network, which includes base stations equipped with MEC servers and a large number of user equipments. The present invention mainly uses active caching to solve the problem of additional content acquisition time delay caused by frequent switching between base stations caused by user mobility, so as to improve resource utilization during active caching and QoE of wireless VR users. The DDPG algorithm in deep reinforcement learning is used to learn and predict the content capacity and quality of mobile users stored in the base station. Based on this, a VR content caching method based on mobile edge computing network is design...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a VR content caching method based on a mobile edge computing network. Including establishing the user mobility model in the network, calculating the transmission rate required by the base station to send content to the user, allocating the amount of resources required by the user to store content at the next base station, and establishing the VR content caching problem in the mobile edge computing network as a Marker The decision-making problem is to calculate the reward function of the user's QoE. With the optimization goal of maximizing the user's QoE in the whole process, an optimization problem is established, and the deep deterministic policy gradient is used to solve it to obtain the optimal active caching policy. Reduce the latency of VR video acquisition, improve the QoE of wireless VR users, and improve the utilization of storage, computing, and communication resources.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a VR content caching method based on a mobile edge computing network. Background technique [0002] Wireless virtual reality (Virtual reality, VR) can provide users with an immersive experience, and is expected to become the most mainstream application in future mobile networks. In the wireless VR service transmission system, the introduction of mobile edge computing technology (Mobile edgecomputing, MEC) makes it possible to offload complex and refined VR computing tasks to edge nodes, meeting the ultra-high bandwidth and low-latency requirements of VR transmission. MEC can deploy computing and storage resources at network edge nodes (for example, base stations), and then provide services for mobile devices at the network edge. Mobile devices can upload their computing tasks to cloud servers through base stations, reducing the pressure on local computi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04W28/14H04L67/10H04L67/131H04L67/568H04L67/06
CPCH04W28/14H04L67/10H04L67/06H04L67/131H04L67/568
Inventor 宋清洋陈维熙林鹏亓伟敬
Owner CHONGQING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com