5G AR Uplink Packet Sizing for Low-Latency Streaming
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Solution Overview
Problem
Existing wireless communication systems face challenges in reducing latency and increasing bandwidth for bandwidth-intensive applications like augmented reality (AR) and virtual reality (VR) due to conventional maximum transmission unit (MTU) sizes that lead to network congestion, segmentation, and increased overhead, particularly in millimeter wave (mmWave) and sub-6 GHz LTE networks.
Innovation Solution
Adaptive adjustment of packet sizes based on real-time performance characteristics, such as RAN latency and throughput, to optimize MTU sizes and reduce latency by selecting smaller packet sizes in congested conditions, using edge cloud server equipment to facilitate dynamic packet size selection and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional maximum transmission unit (MTU) sizes are used, then network infrastructure compatibility is maintained, but latency increases and bandwidth is reduced due to network congestion and segmentation
Solution Approach 1:
The patent implements dynamic MTU adjustment where the maximum transmission unit size is not fixed but adapts in real-time based on network conditions. The system monitors metrics such as packet loss, congestion level, and available bandwidth, then adjusts MTU size accordingly to optimize both latency and bandwidth performance while maintaining compatibility with existing network infrastructure.
Solution Approach 2:
The patent changes the MTU parameter dynamically based on network conditions. By monitoring network metrics and adjusting the MTU size as a variable parameter rather than using a fixed conventional value, the system optimizes transmission performance. This parameter change approach allows the network to adapt to varying congestion levels and select optimal packet sizes that reduce latency and maximize bandwidth utilization.
2Productivity
If larger packet sizes are transmitted, then throughput is improved, but network overhead increases and segmentation occurs in congested conditions
Solution Approach 1:
The patent implements a feedback mechanism where network performance metrics such as packet loss rates, congestion levels, and transmission success are continuously monitored and fed back to the MTU adjustment algorithm. This feedback loop enables the system to learn from actual transmission outcomes and refine its MTU selections, achieving optimal throughput while minimizing network overhead and avoiding unnecessary segmentation in congested conditions.
Data Source
AI summary
The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a characteristic value of a performance characteristic associated with an uplink connection enabled via a network of a user equipment to application server equipment hosting the network application. The method can further include, based on the characteristic value and a criterion, selecting, by the system, a first packet size for the uplink connection. The method can further include communicating, by the system, to the user equipment, the first packet size for use with the uplink connection.