Adapting Semi-Static Wireless Resources for Latency and Traffic
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G NR, face challenges in efficiently adapting semi-static configured resources to match varying conditions such as latency, traffic size, and reliability, leading to potential over- or under-allocation of resources for transmission or reception occasions, especially in scenarios like extended reality (XR) traffic which requires precise timing and data rate management.
Innovation Solution
The system adapts semi-static configured resources by adjusting parameters such as resource block allocation and time duration based on conditions like remaining delay budget and traffic thresholds, allowing for dynamic allocation of resources over time to match the specific needs of transmission or reception occasions, thereby enhancing capacity and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If semi-static configured resources are allocated for multiple transmission or reception occasions, then resource allocation is simplified and overhead is reduced, but the system cannot adapt to varying conditions such as latency requirements, traffic size, and reliability needs
Solution Approach 1:
The patent implements dynamics by enabling adaptable parameters within semi-static resource configurations. The network entity can dynamically adjust at least one parameter (such as time duration, frequency resources, or power levels) for subsequent transmission or reception occasions based on changing channel conditions, traffic requirements, or latency constraints, while maintaining the overall semi-static structure to reduce signaling overhead.
Solution Approach 2:
The patent applies parameter changes by allowing the network entity to modify specific parameters of the semi-static resource allocation. These parameters may include time duration, frequency resources, power levels, or modulation schemes. The network entity transmits indications of these parameter changes to the UE, enabling the UE to adapt its transmission or reception characteristics without requiring complete reconfiguration of the semi-static resources.
2Loss of information
If resources are statically allocated for multiple transmission occasions, then signaling overhead is reduced, but resource utilization efficiency decreases when conditions vary
Solution Approach 1:
The patent implements partial action by allowing only the necessary parameters to be dynamically adjusted while maintaining the semi-static structure for the majority of resource allocation parameters. This approach reduces signaling overhead compared to fully dynamic allocation, while still providing sufficient adaptability to improve resource utilization efficiency when channel conditions or traffic requirements change.
Solution Approach 2:
The patent applies feedback mechanisms where the network entity monitors channel conditions, traffic patterns, and transmission outcomes, then uses this feedback information to determine appropriate parameter adjustments for subsequent transmission or reception occasions. The network entity transmits these adjustments to the UE, enabling adaptive resource utilization while maintaining efficient signaling through the semi-static framework.
3Ease of operation
If semi-static resources are configured without adaptation, then system operation is simpler, but capacity and resource utilization cannot be enhanced for varying traffic conditions
Solution Approach 1:
The patent implements self-service by enabling the system to automatically adjust resource parameters based on monitored conditions without requiring complex manual reconfiguration. The network entity autonomously determines parameter adjustments based on channel conditions, traffic requirements, and transmission outcomes, then applies these adjustments to enhance capacity and resource utilization while maintaining operational simplicity through automated decision-making.
Data Source
AI summary
Apparatus, methods, and computer-readable media for facilitating resource selection over time are disclosed herein. An example method for wireless communication at a UE includes receiving, from a network entity, control information scheduling multiple transmission or reception occasions. The example method also includes receiving at least one of an indication of an adaptable parameter or a condition for an adaptation of the multiple transmission or reception occasions. The example method also includes communicating with the network entity based on the multiple transmission or reception occasions. The example method also includes communicating with the network entity based on the adaptation of the multiple transmission or reception occasions in response to an occurrence of the condition or reception of the indication of the adaptable parameter.