Terminal Burst-Traffic Reporting for Adaptive SPS and CG Scheduling
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Solution Overview
Problem
Existing cellular communication systems face challenges in efficiently managing wireless resources due to varying traffic patterns, leading to potential shortages for delay-intolerant data and unnecessary allocation for delay-tolerant data, which can result in inefficient resource utilization.
Innovation Solution
A terminal apparatus recognizes burst data frames, specifies their cycle and jitter, and reports this information to a base station, allowing the system to optimize Semi-Persistent Scheduling (SPS) and Configured Grant (CG) functions based on traffic patterns, ensuring timely and efficient resource allocation for both downlink and uplink communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wireless resources are allocated based on fixed periodic patterns, then resource allocation simplicity is improved, but resource utilization efficiency deteriorates due to mismatch with varying traffic patterns
Solution Approach 1:
The patent implements dynamic resource allocation by transitioning from fixed periodic SPS/CG patterns to flexible on-demand allocation. The base station monitors traffic patterns and dynamically adjusts resource allocation timing and quantity, allowing the system to adapt to varying traffic demands while maintaining operational simplicity through automated control.
Solution Approach 2:
The system changes allocation parameters (timing, frequency, quantity of resources) based on observed traffic patterns. By monitoring packet arrival rates and transmission timing, the base station adjusts resource allocation parameters to match actual traffic needs, improving utilization efficiency while maintaining simple operation through parameter optimization.
2Adaptability or versatility
If wireless resources are allocated for all traffic types, then coverage of different traffic patterns is improved, but resource wastage increases for delay-tolerant data
Solution Approach 1:
The patent applies different resource allocation strategies to different traffic types based on their specific requirements. Delay-intolerant traffic receives priority resource allocation with guaranteed timing, while delay-tolerant traffic receives resources only when necessary. This localized quality approach ensures each traffic type gets appropriate resources without wastage for non-critical data.
Solution Approach 2:
The system implements partial resource allocation by providing resources only when needed for each traffic type. For delay-tolerant traffic, resources are allocated partially and only when actual transmission is required, rather than continuously. This prevents excessive resource allocation while ensuring delay-intolerant traffic receives sufficient resources.
3Reliability
If resource allocation is optimized for delay-intolerant data, then transmission reliability is improved, but resource shortage occurs for other traffic types
Solution Approach 1:
The patent implements feedback-based resource allocation where the base station monitors traffic patterns, transmission success rates, and resource utilization. Based on this feedback, the system dynamically adjusts resource allocation to ensure delay-intolerant traffic receives sufficient resources for reliable transmission, while simultaneously allocating appropriate resources to other traffic types to prevent shortages.
Solution Approach 2:
The system dynamically adjusts resource allocation priorities based on real-time traffic conditions. When delay-intolerant traffic requires resources, the system prioritizes these transmissions to maintain reliability. When traffic conditions change, the system dynamically reallocates resources to other traffic types, ensuring continuous availability without compromising overall system reliability.
4Device complexity
If periodic resource allocation is used, then scheduling simplicity is improved, but transmission delay variability increases due to traffic pattern mismatches
Solution Approach 1:
The patent transitions from static periodic scheduling to dynamic scheduling that adapts to traffic patterns. The base station monitors packet arrival timing and transmission delays, then dynamically adjusts resource allocation timing to match actual traffic patterns. This reduces transmission delay variability while maintaining simple scheduling through automated adaptive control.
Solution Approach 2:
The system changes scheduling parameters (allocation timing, periodicity) based on observed traffic patterns and delay measurements. By adjusting these parameters dynamically, the system minimizes transmission delay variability without increasing scheduling complexity, as the parameter adjustments are automated based on traffic monitoring.
Data Source
AI summary
A terminal apparatus recognizes a first packet of burst data in a case where a frame generated by an application executed by the terminal apparatus is transmitted as the burst data, the burst data being obtained by dividing the frame into a plurality of packets, specifies a cycle of the burst data and jitter of the burst data based on a result of the recognition, reports a result of the specification to a base station apparatus. The terminal apparatus obtains, from the base station apparatus, information related to a frame on which a report is to be made.


