Adaptive Radio Resource Allocation for Wireless Interference
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Solution Overview
Problem
Conventional wireless communication systems fail to effectively allocate radio resources based on the data usage patterns of user equipment (UEs), leading to unsatisfied quality of experience (QoE) and inefficient resource utilization, as they do not consider the varying data requirements of UEs in the network.
Innovation Solution
A method and apparatus for measuring the data usage pattern or density of UEs in a region, determining if the variation exceeds a threshold, and adjusting resource allocation accordingly to optimize service provision, using a processor and RF unit to allocate resources effectively based on the data usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If ICIC technique is applied to decrease interference between BSs, then network interference is reduced, but throughput of BS is decreased
Solution Approach 1:
The patent applies dynamics by making the resource allocation strategy adaptive rather than static. The base station dynamically adjusts the allocation of almost blank subframes (ABS) and normal subframes based on real-time measurements of data usage patterns from user equipments. When data usage patterns indicate high demand, the system increases ABS allocation to reduce interference; when demand is low, it increases normal subframe allocation to maintain throughput, thus resolving the contradiction between interference reduction and throughput maintenance
Solution Approach 2:
The patent changes the parameter of subframe allocation ratio based on data usage pattern characteristics. By measuring parameters such as data volume, data usage time, and data usage frequency, the system modifies the proportion of ABS and normal subframes allocated to different user groups. This parameter adjustment allows the system to optimize the balance between interference reduction (through ABS) and throughput maintenance (through normal subframes) according to actual network conditions
2Device complexity
If radio resource is allocated without consideration of data amount required by UEs, then resource allocation is simplified, but quality of experience of UE is not satisfied and radio resource is wasted
Solution Approach 1:
The patent applies preliminary action by measuring and analyzing data usage patterns in advance before finalizing resource allocation. The base station measures parameters such as data volume, data usage time, and data usage frequency, and uses these pre-collected data to predict future resource requirements. This preliminary analysis enables the system to allocate resources more effectively, ensuring that UEs with higher data usage patterns receive proportionally more resources, thereby improving quality of experience without excessive complexity
Solution Approach 2:
The patent implements feedback by continuously measuring actual data usage patterns and using this information to adjust resource allocation decisions. The base station measures data usage parameters from user equipments and feeds this information back into the resource allocation algorithm. This closed-loop feedback mechanism ensures that resource allocation is based on actual user needs rather than fixed rules, improving both quality of experience and resource utilization efficiency
Data Source
AI summary
Provided are a method of allocating a resource in a wireless communication system and an apparatus using the method. The method includes: measuring a variation of a data usage pattern or density of user equipments located in a region for providing a service; determining whether the variation is greater than or equal to a threshold; and determining a resource allocation type of the region for providing the service on the basis of the determination result.