5G XR Throughput Request Feedback to Reduce Retry Traffic
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Solution Overview
Problem
5G wireless networks may not consistently provide the necessary bandwidth for throughput-intensive extended reality (XR) applications, leading to network congestion and poor user experience due to UE devices repeatedly attempting to access XR services without knowing the network's availability.
Innovation Solution
A system where mobile devices send an indication to the 5G network requesting XR communication, and the base station assesses its capability to provide the required throughput. If incapable, it sends a message to the device, prompting the device to wait before retrying, reducing repeated requests and network traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE continuously requests XR services without knowing network status, then the device can potentially access XR services when bandwidth is available, but the network becomes congested and user experience deteriorates
Solution Approach 1:
The network sends feedback messages to the UE indicating whether XR services are currently available based on network bandwidth conditions. This feedback mechanism allows the UE to adjust its service requests according to actual network capacity, preventing continuous requests that would cause congestion while ensuring services are accessed when bandwidth is sufficient.
Solution Approach 2:
The network proactively assesses bandwidth availability and notifies the UE before the UE attempts to access XR services. By performing this preliminary check and communication, the system prevents unnecessary request transmissions that would waste network resources and contribute to congestion, while ensuring the UE only attempts access when conditions are favorable.
2Productivity
If the network provides high bandwidth for XR applications, then user experience is improved, but network resources are consumed and may not be sustainable during peak usage
Solution Approach 1:
The network dynamically adjusts XR service availability based on real-time bandwidth conditions and network load. Instead of providing constant high bandwidth, the system flexibly scales service provision to match available resources, ensuring high throughput when capacity exists while conserving network energy and resources during peak usage periods when bandwidth is limited.
Data Source
AI summary
The system determines that an application running user equipment (UE) is requesting a throughput intensive communication over a network. The throughput intensive communication can require a predetermined downlink and uplink throughput. The system sends a first indication to the network, specifying to a base station of the network that the UE is requesting the throughput intensive communication. The base station determines whether it can provide the downlink throughput and the uplink throughput to the UE. Upon determining that the base station cannot provide the downlink or the uplink throughput to the UE, the base station sends a first message to the UE, indicating that the throughput intensive communication is of low quality. Upon receiving the first message, the UE waits for a predetermined criterion to be satisfied before attempting to engage in the throughput intensive communication, thereby reducing network traffic by eschewing sending repeated requests for the throughput intensive communication.