Dynamic Admission Probability Control for Configured Grant Uplink
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing admission probabilities for resource pools in configured grant uplink communications, leading to overloading and reduced network reliability due to inefficient resource utilization.
Innovation Solution
A method and apparatus for dynamically controlling the admission probability of a resource pool by modifying the admission probability parameter based on utilization levels, allowing base stations to adjust access probabilities for UEs, thereby reducing overloading and improving resource allocation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the admission probability parameter is increased to allow more UEs to access the resource pool, then the network capacity is improved, but the resource pool becomes overloaded and reliability decreases
Solution Approach 1:
The patent applies dynamics by making the admission probability parameter adjustable and adaptive rather than fixed. The base station can dynamically modify the admission probability parameter based on real-time resource pool utilization conditions, allowing the system to optimize between capacity and reliability depending on current network state.
Solution Approach 2:
The patent implements feedback mechanisms where the base station monitors resource pool utilization and uses this information to adjust the admission probability parameter. This closed-loop control ensures that the admission probability is automatically tuned to maintain optimal performance and prevent overload based on actual system conditions.
2Reliability
If the admission probability parameter is decreased to reduce overloading, then resource pool reliability is improved, but the number of successful transmissions decreases
Solution Approach 1:
The dynamic adjustability of the admission probability parameter allows the system to respond to changing network conditions. When utilization is low, the parameter can be decreased to prevent future overload; when utilization is high, it can be increased to maintain throughput, optimizing the trade-off over time.
Solution Approach 2:
The base station can periodically adjust the admission probability parameter based on monitored utilization patterns, allowing the system to adapt to periodic variations in traffic load and maintain optimal performance across different operational phases.
3Productivity
If dynamic modification of admission probability is implemented, then resource allocation efficiency is improved, but system complexity increases
Solution Approach 1:
The patent focuses on modifying a single key parameter (admission probability) rather than implementing complex multi-parameter control systems. This parameter-based approach achieves improved resource allocation efficiency while keeping the control mechanism relatively simple and manageable.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may receive a configuration of a resource pool for configured grant uplink communications, wherein the resource pool is associated with an admission probability parameter that controls an admission probability for access to the resource pool; receive an indication that modifies the admission probability; and perform an admission control procedure to attempt access to the resource pool for transmission of a configured grant uplink communication based at least in part on the indication, wherein the admission control procedure is associated with the modified admission probability. Numerous other aspects are provided.