Adaptive Scheduling Request Configuration for Uplink Traffic
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Solution Overview
Problem
Existing wireless communication systems face challenges in optimizing scheduling request configurations for user equipment (UE) based on uplink traffic conditions, leading to inefficiencies in resource allocation and communication performance.
Innovation Solution
UE and network entities exchange assistance information and configurations to dynamically adjust scheduling request parameters based on uplink traffic information, enabling more efficient resource allocation and communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If scheduling request configurations are fixed and not adapted to uplink traffic conditions, then device complexity is reduced, but resource allocation efficiency deteriorates
Solution Approach 1:
The patent implements dynamic scheduling request configurations that adapt to uplink traffic conditions. The network entity receives UE assistance information indicating traffic characteristics and adjusts scheduling request parameters accordingly, transforming static configurations into dynamic ones that respond to changing traffic patterns, thereby improving resource allocation efficiency without requiring complex UE-side decision-making
Solution Approach 2:
The patent establishes a feedback mechanism where the UE transmits assistance information about its uplink traffic conditions to the network entity. This feedback loop enables the network to optimize scheduling request configurations based on actual UE needs, resolving the contradiction by allowing adaptive optimization while keeping the UE relatively simple
2Reliability
If scheduling request parameters are customized for individual UEs based on traffic information, then communication performance is improved, but network entity complexity increases
Solution Approach 1:
The patent applies local quality by customizing scheduling request configurations for individual UEs based on their specific uplink traffic characteristics. Each UE receives tailored configurations matched to its traffic patterns, improving communication performance while the network entity manages this complexity through systematic processing of assistance information
Solution Approach 2:
The patent utilizes parameter changes by adjusting scheduling request parameters based on traffic information received from UEs. The network entity modifies configuration parameters dynamically to match traffic conditions, achieving improved communication performance through controlled parameter adaptation rather than complex structural changes
3Adaptability or versatility
If multiple scheduling request configurations are provided to UE for selection, then adaptability to different traffic conditions is improved, but device complexity at UE increases
Solution Approach 1:
The patent implements self-service by enabling the UE to report its own traffic characteristics through assistance information. The UE essentially serves itself by providing the network with the data needed to generate appropriate configurations, reducing the burden on the UE while maintaining high adaptability
Solution Approach 2:
The patent achieves adaptability through dynamic configuration provision rather than requiring the UE to manage multiple static configurations. The network dynamically provides appropriate scheduling request configurations based on real-time traffic conditions, maintaining UE simplicity while achieving versatility
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit, to a network entity, UE assistance information that indicates one or more scheduling request parameters. The UE may receive, from the network entity, a scheduling request configuration that is based at least in part on the one or more scheduling request parameters. Numerous other aspects are described.


