Downlink Scheduling Matrix Normalization for Carrier Aggregation
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Solution Overview
Problem
Existing cellular network scheduling methods struggle to efficiently allocate communication resources across user equipment (UE) in a fair and proportional manner, especially in scenarios involving carrier aggregation where channel quality indicators (CQI) vary significantly across different carrier components.
Innovation Solution
A method for scheduling downlink data transmissions in a cellular network that involves determining CQI values for each UE across multiple carrier components, calculating average data transfer rates, creating a scheduling matrix with instantaneous data transfer rates, normalizing the matrix based on average data transfer rates, and making scheduling decisions to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional scheduling methods are used to allocate communication resources, then resource allocation simplicity is maintained, but fairness and efficiency of resource allocation deteriorate
Solution Approach 1:
The patent segments the scheduling process into distinct phases: CQI determination for each carrier component, average data transfer rate calculation, instantaneous rate computation, and normalization. This segmentation transforms a complex monolithic scheduling problem into manageable modular steps, improving both efficiency and fairness while maintaining implementability
Solution Approach 2:
The patent introduces normalization as a parameter transformation step that converts instantaneous data transfer rates into a standardized scale based on average rates. This parameter change enables fair comparison across different UEs and carrier components, resolving the contradiction by providing a systematic method that improves allocation fairness without overwhelming complexity
2Measurement precision
If CQI values are determined for each carrier component across all UEs, then scheduling accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent applies segmentation by determining CQI values separately for each carrier component and each UE individually, then processing these segmented measurements through systematic aggregation and normalization steps. This approach maintains high measurement precision while managing complexity through structured processing
Solution Approach 2:
The patent performs preliminary calculations of average data transfer rates before computing instantaneous rates. This preliminary action prepares the data in advance, reducing the computational burden during the main scheduling decision process and managing complexity through staged processing
3Ease of operation
If normalization based on average data transfer rates is applied, then scheduling fairness is improved, but processing time increases
Solution Approach 1:
The patent calculates average data transfer rates in advance as a preliminary step before normalization. By preparing this baseline data beforehand, the system achieves improved fairness through normalization while minimizing additional processing time during actual scheduling decisions
Solution Approach 2:
The normalization process uses feedback from historical average data transfer rates to adjust instantaneous rate allocations. This feedback mechanism ensures fair scheduling decisions are made efficiently by leveraging previously computed statistical information rather than recalculating everything from scratch
Data Source
AI summary
Various systems and methods for scheduling data transmissions from a base station to user equipment (UE) are presented. Channel quality indicator values that correspond to multiple UE may be determined for multiple carrier components of a cellular network's carrier aggregation. A scheduling matrix may be created that includes instantaneous data transfer rates for the UE. Elements within the scheduling matrix may be normalized by modifying instantaneous data transmission rates using average data transmission rates. Scheduling decisions for data transfers may be made for the UE based on the normalized scheduling matrix.