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Paraverse White Paper
  • Paraverse: A Decentralized Operating and Trading Platform for 3D Digital Assets
  • Digital Parallel World
    • What is the "Digital Parallel World"?
    • Enabling Seamless Interaction with the Digital Parallel World
  • The Pain Points and Technical Challenges
    • The Pain Points and Technical Challenges
  • Paraverse Product Solutions
    • Paraverse Product Architecture Design
    • Operational System for the 3D Digital Parallel World — ParaLab
    • 3D Digital Parallel World Asset Utilization and Circulation System — ParaHere
    • Decentralized Distributed Rendering Network — Lark Network
    • Product Features
  • User Group Demand Analysis and Economic Ecosystem
    • User Group Demand Analysis
    • Paraverse Economic Ecosystem
      • User Payment System
      • Ecological Growth Strategy
      • Dynamic Analysis of PVS Token Market Capitalization Growth
  • Paraverse Core Technologies and Capabilities
    • Visual Computing GPU Resource Pooling
    • Cloud XR Network Transmission System
    • Distributed Validation Storage and Encrypted Operation of 3D Assets
    • Web3.0 combined anti-cheating mechanism for 3D applications
  • 3D Digital Asset Economic System Design
    • Token Design
      • Token Value Accumulation
      • Initial Token Distribution
      • Token circulation and stability
    • Incentive Mechanism
      • Rendering income
      • Validation Reward
      • Staking Rewards
    • Penalty Mechanism
  • Security and Privacy
    • Access Control and Authentication
    • Privacy Protection and Anonymity
    • Network Attack Prevention Measures
  • ParaDAO Community and Ecosystem
    • ParaDAO Community and Ecosystem
  • Ecosystem Development Roadmap
    • Ecosystem Development Roadmap
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  1. Paraverse Core Technologies and Capabilities

Cloud XR Network Transmission System

PreviousVisual Computing GPU Resource PoolingNextDistributed Validation Storage and Encrypted Operation of 3D Assets

Last updated 8 days ago

The Paraverse Cloud XR Network Transmission System continuously monitors network transmission conditions, estimates bandwidth, and calculates bitrates based on the motion of macroblocks in the original graphics. By utilizing its proprietary QoE-aware congestion control algorithm, the system adjusts target bitrates to meet the high bitrate and ultra-low latency requirements of 3D applications. It addresses challenging issues such as latency, packet loss, network jitter, and bandwidth fluctuations. Paraverse automatically adjusts bandwidth, with dynamic bitrate ranges from tens of k to several hundred Mbps, and MTP control remains below 20 ms, ensuring smoother and more stable network transmission while providing an ultra-low latency transmission experience.