Metaverse Traffic Prioritization via Cloud Controller
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Solution Overview
Problem
WiFi networks struggle to provide high-throughput and low-latency necessary for seamless metaverse experiences, leading to congestion issues that affect user experience.
Innovation Solution
A metaverse optimization and prioritization enabled cloud-based controller system that includes a traffic classification unit and an optimization and prioritization unit, which identifies and prioritizes metaverse data packets to optimize metaverse client devices and traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If WiFi networks are used to access the metaverse, then network coverage and accessibility are improved, but latency and throughput performance deteriorate due to congestion
Solution Approach 1:
The system segments network traffic into different priority levels using classification units that identify metaverse traffic packets. By dividing traffic management into prioritized queues, the system ensures metaverse traffic receives dedicated bandwidth and lower latency treatment while maintaining overall network accessibility for other traffic types.
Solution Approach 2:
The patent introduces a cloud-based controller as an intermediary that mediates between WiFi network infrastructure and metaverse applications. This controller implements optimization algorithms that adjust network parameters, manage traffic flow, and coordinate between access points to reduce latency specifically for metaverse traffic while preserving general network access.
2Adaptability or versatility
If WiFi networks handle metaverse traffic, then device compatibility and user access are improved, but network congestion increases affecting service quality
Solution Approach 1:
The system applies local quality by providing differentiated service levels to different traffic types. Metaverse traffic receives optimized handling with priority queuing, bandwidth guarantees, and latency reduction mechanisms, while other traffic types receive standard service. This localized optimization maintains high service quality for metaverse applications despite overall network congestion.
Solution Approach 2:
The patent implements dynamic traffic management where network parameters such as bandwidth allocation, queue priorities, and routing decisions are continuously adjusted based on real-time network conditions and traffic classification. This dynamic adaptation allows the system to maintain reliable service quality for metaverse traffic even as network congestion levels fluctuate.
3Device complexity
If standard WiFi network management is used, then system complexity is kept low, but traffic optimization and prioritization capabilities are insufficient
Solution Approach 1:
The cloud-based controller serves as an intermediary that adds advanced optimization capabilities without requiring complex changes to existing WiFi infrastructure. The controller handles traffic classification, prioritization, and optimization algorithms centrally, allowing standard access points to maintain simplicity while the system as a whole achieves high productivity through intelligent traffic management.
Solution Approach 2:
The cloud-based controller provides multiple functions including traffic classification, prioritization, optimization, and monitoring through a single centralized system. This multi-functional approach avoids the need for separate specialized devices for each function, managing system complexity while delivering comprehensive traffic optimization capabilities for metaverse applications.
Data Source
AI summary
In some embodiments, a metaverse optimization and prioritization enabled cloud-based controller includes a metaverse traffic classification unit; and a metaverse optimization and prioritization unit, wherein based upon the identification and classification of data packets as metaverse data packets, the metaverse optimization and prioritization unit optimizes and prioritizes a metaverse client device and metaverse traffic associated with a metaverse optimization and prioritization enabled network. In some embodiments, the metaverse optimization and prioritization unit optimizes the metaverse client device based upon a quality of experience associated with the metaverse client device. In some embodiments, the metaverse optimization and prioritization unit prioritizes the metaverse traffic based on quality of service management features ascertained utilizing the metaverse optimization and prioritization enabled cloud-based controller.