Table-Based Link Adaptation for Wireless Scheduling
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Solution Overview
Problem
Current link adaptation techniques in wireless communication networks are time-consuming and inefficient, limiting the number of mobile devices that can be scheduled per transmission time interval and resulting in suboptimal bandwidth utilization due to the complexity of selecting the appropriate modulation and coding schemes and scheduling blocks.
Innovation Solution
A modified link adaptation method that estimates channel quality and determines modulation and coding schemes based on available scheduling blocks, dynamically adjusting to ensure efficient data transmission and retransmission, while optimizing the use of scheduling blocks and modulation schemes to accommodate multiple mobile devices within the limited transmission time interval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional link adaptation techniques are used to determine optimal MCS and scheduling blocks, then link quality is improved, but processing time increases significantly
Solution Approach 1:
The patent pre-calculates and stores mapping relationships between channel quality indicators (CQI) and modulation and coding schemes (MCS) in a lookup table before actual transmission. When link adaptation is needed, the system simply queries the pre-computed table using the current CQI value to obtain the optimal MCS, eliminating the need for time-consuming real-time calculations while maintaining optimal link quality.
2Reliability
If traditional link adaptation techniques are used to select optimal MCS, then transmission reliability is improved, but the number of mobile devices that can be scheduled per TTI is reduced
Solution Approach 1:
The patent pre-computes and stores the mapping between CQI values and optimal MCS selections in a lookup table during system initialization or configuration phase. During actual operation, each mobile device's optimal MCS is determined by a simple table lookup based on its CQI measurement, dramatically reducing processing time and enabling the scheduler to handle more mobile devices within the same TTI while maintaining transmission reliability.
3Productivity
If comprehensive link adaptation analysis is performed for each mobile device, then bandwidth utilization efficiency is improved, but the complexity of the scheduling process increases
Solution Approach 1:
The patent pre-calculates and stores the optimal MCS selections corresponding to different CQI values and channel conditions in a lookup table before actual scheduling operations. This transforms the complex real-time optimization problem into a simple table query operation, significantly reducing scheduling process complexity while maintaining bandwidth utilization efficiency through accurate MCS selection.
Solution Approach 2:
The patent creates a simplified representation (lookup table) that copies the essential mapping relationships between channel conditions and optimal MCS selections. Instead of performing complex real-time analysis, the system uses this pre-created copy to quickly determine MCS, reducing computational complexity while preserving the effectiveness of comprehensive link adaptation.
Data Source
AI summary
A radio resource management method is provided. Data for transmission is stored. The stored data is associated with user equipment (UE). A channel quality is estimated. A first modulation and coding scheme (MCS) is determined based at least in part on the estimated channel quality. A first number of scheduling blocks (SBs) required to transmit the stored data is determined based at least in part on the first MCS. The first number of SBs are a minimum of an initial number of SBs and available amount of SBs. A link quality is calculated based at least in part on a channel condition associated with the first number of SBs. A second MCS is determined based at least in part on the calculated link quality and a link quality requirement.