Radio Resource Allocation via Mobile Station Categorization
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Solution Overview
Problem
Existing radio frequency resource allocation techniques in wireless communication systems, such as proportional fair scheduling, often result in unequal resource distribution among mobile stations based on signal quality, leading to inefficiencies and unfairness, particularly favoring stations closer to the base station over those farther away.
Innovation Solution
A scheduler categorizes mobile stations based on signal quality measurements and assigns different resource allocation schemes to each category, allocating resources proportionally based on traffic demand and quality of service requirements, using a combination of throughput-driven, proportional fairness, and round-robin scheduling algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If proportional fair scheduling is used to allocate resources based on signal quality measurements, then mobile stations with better signal quality conditions receive more resources, but mobile stations located further away from the base station receive fewer resources leading to unfairness
Solution Approach 1:
The patent segments mobile stations into multiple categories based on their signal quality conditions (e.g., good, fair, poor). Each category is then allocated a specific portion of radio resources through separate scheduling processes. This segmentation allows the system to guarantee minimum resources for distant stations while maintaining high throughput for nearby stations, thus resolving the contradiction between productivity and fairness.
2Productivity
If more radio frequency resources are allocated to mobile stations closer to the base station, then sector throughput is improved, but resource allocation fairness deteriorates
Solution Approach 1:
The patent applies local quality by assigning different resource allocation strategies to different groups of mobile stations based on their local conditions. Stations with poor signal quality (typically farther away) receive guaranteed minimum resources through one scheduling process, while stations with good signal quality (closer to base station) receive resources allocated to maximize throughput. This localized approach to resource allocation simultaneously achieves both fairness and high sector throughput.
3Device complexity
If a single resource allocation scheme is used for all mobile stations, then device complexity is reduced, but adaptability to different signal quality conditions deteriorates
Solution Approach 1:
The patent implements a dynamic resource allocation system where mobile stations are categorized based on their current signal quality conditions, and resource allocation parameters are dynamically adjusted for each category. The system can adaptively change the number of categories, the portion of resources allocated to each category, and the scheduling algorithms used, based on real-time channel conditions. This dynamic approach provides high adaptability while maintaining manageable system complexity through structured categorization.
Data Source
AI summary
Systems and methods of allocating radio resources are provided. The systems and methods involve assigning each of a plurality of mobile stations to one of a plurality of categories, wherein each of the plurality of categories is associated with a different resource allocation scheme. An amount of available radio resources is allocated to each of the plurality of categories. An amount radio resources assigned to each category is allocated to mobile stations assigned to the category based on the resource allocation scheme associated with the category.