Service-Based Scheduling Request Periodicity for 5G Uplink Control
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Solution Overview
Problem
Current 5G NR wireless communication systems face challenges in balancing low latency services with network capacity, as static time periodicity for scheduling request occasions leads to inefficient utilization of physical uplink control channel resources, resulting in either excessive resource usage or higher latency.
Innovation Solution
Implementing service-aware periodic scheduling request occasions based on Quality of Service (QoS) settings, where the periodicity is adjusted according to the type of service provided, such as low latency, enhanced mobile broadband, or deprioritized services, to optimize the use of physical uplink control channel resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If static time periodicity is used for scheduling request occasions, then network capacity is maintained, but latency increases and resource utilization becomes inefficient
Solution Approach 1:
The patent applies dynamics by transitioning from static time periodicity to dynamic service-based time periodicity for scheduling request occasions. The network node configures different periodicity values based on the service type (e.g., low latency service, enhanced mobile broadband, deprioritized service), allowing the system to adapt the resource allocation pattern dynamically according to actual service requirements rather than using a fixed periodicity for all services.
Solution Approach 2:
The patent implements parameter changes by modifying the time periodicity parameter of scheduling request occasions based on service characteristics. Different periodicity values are assigned to different service types - shorter periodicity for low latency services and longer periodicity for other services - thereby optimizing both latency and resource utilization through parameter adjustment rather than maintaining a single static value.
2Loss of time
If shorter periodicity is used for scheduling request occasions, then latency is reduced, but physical uplink control channel resource usage increases
Solution Approach 1:
The patent applies local quality by assigning different time periodicity characteristics to different service types based on their specific requirements. Low latency services receive shorter periodicity values optimized for rapid scheduling requests, while other services receive longer periodicity values optimized for resource conservation. This localized optimization ensures each service type gets the appropriate resource allocation pattern for its specific quality of service needs.
Solution Approach 2:
The patent changes the time periodicity parameter based on service type to balance latency reduction with resource conservation. By configuring shorter periodicity values only for services that require low latency and longer periodicity values for other services, the system achieves latency reduction where needed without causing excessive resource usage across all services.
3Quantity of substance
If longer periodicity is used for scheduling request occasions, then resource usage is reduced, but latency increases
Solution Approach 1:
The patent applies local quality by assigning longer time periodicity values specifically to service types that do not require low latency (such as enhanced mobile broadband or deprioritized services), while maintaining shorter periodicity values for services that do require low latency. This ensures resource conservation is achieved for appropriate services without adversely affecting services that have latency requirements.
4Productivity
If service-based periodicity is implemented, then resource utilization is optimized, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the scheduling request occasion configuration into service-specific segments. Each service type (low latency service, enhanced mobile broadband, deprioritized service) is assigned its own time periodicity value, allowing independent optimization for each service category. This segmentation enables optimized resource utilization for each service type while managing complexity through structured service-based classification.
Data Source
AI summary
In some implementations, a network node may transmit, to a user equipment (UE), a configuration that indicates a default time periodicity value for a scheduling request (SR) occasion. The network node may identify a service provided by the network node. The network node may transmit, to the UE, a reconfiguration message that indicates a modified time periodicity value for the SR occasion, the modified time periodicity value being different than the default time periodicity value based on the service provided by the network node. The network node may receive, from the UE, an SR based on the modified time periodicity value for the SR occasion.