Cycle-Based Wireless Resource Allocation with Active UE Sets
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Solution Overview
Problem
Existing communication systems face challenges in efficiently allocating wireless resources to multiple user equipments (UEs) with varying data requirements, leading to inefficiencies and potential battery consumption issues.
Innovation Solution
A method and base station system that generates an active UE set based on cycle parameters and downlink data, prioritizing UEs for resource allocation, and allocates wireless resources to these UEs, while deferring others to a deferred UE set.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless resources are allocated to all UEs continuously, then resource allocation completeness is improved, but resource allocation efficiency deteriorates
Solution Approach 1:
The patent segments UEs into different sets (first UE set and second UE set) based on their data characteristics and cycle parameters. This segmentation allows the base station to apply different resource allocation strategies to different UE groups, allocating resources to the first UE set with higher priority while deferring the second UE set, thereby resolving the contradiction between allocating resources to all UEs and maintaining allocation efficiency.
2Productivity
If wireless resources are allocated frequently to ensure timely data transmission, then user perceived throughput is improved, but battery consumption increases
Solution Approach 1:
The patent introduces cycle parameters that define periodic intervals for resource allocation to different UE sets. The base station allocates resources to the first UE set in each cycle while deferring the second UE set to the next cycle. This periodic action pattern reduces the frequency of resource allocation operations, thereby reducing battery consumption while maintaining acceptable user perceived throughput through strategic timing of allocations.
3Loss of time
If the base station monitors all UEs continuously for data needs, then data transmission timeliness is improved, but system complexity increases
Solution Approach 1:
The patent applies local quality by treating different UE sets with different monitoring intensities and resource allocation priorities. The base station focuses its monitoring and resource allocation efforts on the first UE set which requires timely data transmission, while applying a different strategy to the second UE set. This localized approach to quality of service monitoring reduces overall system complexity while maintaining timeliness for critical UEs.
Data Source
AI summary
A method, performed by a base station, of allocating a wireless resource includes: obtaining a cycle parameter indicating a cycle which the base station uses to transmit data to and receive data from at least one User Equipment (UE); obtaining downlink data indicating an amount of data in a downlink buffer that is to be transmitted to the at least one UE; generating, based on the obtained cycle parameter and the obtained downlink data, an active UE set including a UE that needs to be allocated to the wireless resource; and allocating the wireless resource to at least one active UE included in the generated active UE set.