XR Data Packet Processing for Delay-Budget Compliance
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Solution Overview
Problem
In extended-range (XR) scenarios, communication systems face challenges in guaranteeing error rates and delay budgets for data packet sets due to congestion, leading to late-arriving data packets that exceed the delay budget, causing system failures.
Innovation Solution
Implementing methods and apparatuses to determine and manage delay budgets and access network delays for data packet sets, discarding or skipping packets that exceed these budgets, and adjusting quality of service operations at a packet set granularity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data packets are transmitted through a congested network route, then the data packets can reach the communication system, but the interval between arrival times of different data packets in the set exceeds the delay budget
Solution Approach 1:
The communication system performs preliminary actions by establishing multiple transmission routes and selecting optimal routes before data packet transmission. The system proactively monitors network conditions and pre-adjusts routing paths to prevent delay budget violations, rather than reacting after packets are already delayed
Solution Approach 2:
The system dynamically adjusts transmission routes and routing paths based on real-time network conditions. When congestion is detected on a primary route, the system dynamically switches to alternative routes, making the data transmission path flexible and adaptive to changing network states to maintain delay budget compliance
2Reliability
If the communication system waits for all data packets to arrive before processing, then complete data sets can be processed, but the delay budget expires before all packets arrive
Solution Approach 1:
The communication system performs partial processing on data packets that arrive within the delay budget, rather than waiting for complete data packet sets. The system processes available data packets proactively and generates intermediate results, accepting that some packets may arrive late but ensuring that processing begins without delay
Solution Approach 2:
The system prepares processing resources and establishes processing pipelines in advance for incoming data packet sets. When packets arrive, the processing infrastructure is already ready, enabling immediate processing of packets that meet the delay budget requirement without waiting for the entire set
3Reliability
If quality of service operations are applied at data packet granularity, then individual packet transmission quality can be optimized, but the complexity of managing delay budgets for entire data packet sets increases
Solution Approach 1:
The system merges QoS management operations from individual packet level to data packet set level. Instead of managing delay budgets separately for each packet, the system aggregates packets into sets and applies unified QoS policies at the set level, reducing management complexity while maintaining transmission quality through set-level delay budget control
Data Source
AI summary
This application discloses a data processing method and apparatus, a communication device, and a readable storage medium, and pertains to the field of communication technologies. The data processing method in embodiments of this application includes: A first communication device performs a first operation, where the first operation includes at least one of the following: guaranteeing a first delay budget of a target data packet set; determining a first delay of a target data packet set; determining a second delay of a target data packet set.