Base Station SINR Estimation Using Gain Offsets
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Solution Overview
Problem
Inaccurate Signal-to-Interference-plus-Noise Ratio (SINR) estimation in wireless communication systems leads to improper Modulation and Coding Scheme (MCS) selection, resulting in higher block error rates and reduced throughput for User Equipments (UEs) supporting both contiguous and non-contiguous resource allocations.
Innovation Solution
A method for a base station to select a transport format by using different gain offsets for estimating SINR based on whether resources are allocated contiguously or non-contiguously, improving accuracy and adapting to specific resource allocation types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single gain offset is used for SINR estimation regardless of resource allocation type, then the system is simple to implement, but SINR estimation accuracy deteriorates for UEs supporting both contiguous and non-contiguous allocations
Solution Approach 1:
The patent applies local quality by using different gain offsets specifically for different resource allocation types (contiguous vs. non-contiguous). Instead of a uniform approach, the base station selects the appropriate gain offset based on the allocation type, providing localized optimization for each scenario and improving SINR estimation accuracy without requiring a completely different system architecture.
Solution Approach 2:
The patent changes the parameter (gain offset value) based on the resource allocation type. By adjusting this key parameter according to whether the allocation is contiguous or non-contiguous, the system adapts the SINR estimation process to match the specific characteristics of each allocation type, resolving the accuracy issue while maintaining a relatively simple implementation through parameter selection rather than structural complexity.
2Measurement precision
If different gain offsets are used for contiguous and non-contiguous resource allocations, then SINR estimation accuracy improves, but the complexity of determining and applying appropriate offsets increases
Solution Approach 1:
The patent applies preliminary action by determining the resource allocation type (contiguous or non-contiguous) before performing SINR estimation. The base station identifies the allocation type in advance and selects the appropriate gain offset beforehand, which simplifies the overall process by establishing the correct parameter before the actual measurement, rather than trying to adjust it during or after estimation.
3Productivity
If improper MCS selection occurs due to inaccurate SINR estimation, then device complexity remains low, but throughput and block error rate performance deteriorate
Solution Approach 1:
The patent applies feedback through the outer loop gain adjustment mechanism that uses CRC outcomes to adjust the gain offset. The system monitors whether transmissions were successful (via CRC) and feeds this information back to adjust the gain offset accordingly, creating a closed-loop system that continuously improves SINR estimation accuracy and adapts to actual channel conditions, thereby improving both throughput and reliability.
Data Source
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AI summary
A method in a base station for selecting a transport format is provided. The base station allocates (201) resources to a User Equipment, UE. When a first criterion is fulfilled for the allocated resources, the base station estimates (203) Signal-to-Interference-plus-Noise Ratio, SINR, by using a first gain offset. The first gain offset relates to a resource allocation according to the first criterion. When a second criterion is fulfilled for the allocated resources, the base station estimates (204) SINR by using a second gain offset. The second gain offset relates to a resource allocation according to the second criterion. The base station then selects (206) a transport format for the allocated resources based on the estimated SINR.