SINR Estimation for Legacy Terminals Using ABS Subframes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In wireless communication systems, terminals not supporting Release 10 experience a significant degradation in SINR estimation precision, leading to lower transmission rates due to incorrect MCS Index selection, as they cannot configure measurement subframe sets and report averaged interference power values.
Innovation Solution
A method for improving SINR estimation precision by acquiring quality information, reception error information, and transmission limit time frame data, and using these to update corrective values for accurate channel quality estimation, specifically for terminals not supporting Release 10.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If ABS is introduced to manage inter-cell interference, then SINR in adjacent cells is improved, but SINR estimation precision is degraded for terminals not supporting Release 10
Solution Approach 1:
The patent segments the measurement subframes into ABS (Almost Blank Subframe) and Non-ABS sets, allowing terminals to measure and report CQI separately for each set. The base station then calculates different OLLA offsets for ABS and Non-ABS cases, enabling precise SINR estimation even when terminals don't support Release 10 eICIC features.
Solution Approach 2:
The patent introduces a new parameter called OLLA offset that is dynamically adjusted based on whether the current subframe is ABS or Non-ABS. By changing this parameter according to the subframe type, the system compensates for interference variations and maintains accurate SINR estimation precision.
2Device complexity
If terminals not supporting Release 10 report averaged interference power values, then device complexity is reduced, but transmission rate is lowered due to incorrect MCS Index selection
Solution Approach 1:
The patent uses reception error information (ACK/NACK feedback) combined with ABS/Non-ABS subframe identification to dynamically adjust OLLA offsets. This feedback mechanism allows the base station to correct SINR estimation errors and select appropriate MCS indices, improving transmission rates without requiring terminal complexity changes.
Solution Approach 2:
The patent introduces ABS/Non-ABS subframe information as an intermediary parameter that bridges the gap between simple terminal reporting and accurate SINR estimation. This intermediary allows the base station to interpret averaged CQI reports correctly and apply appropriate offsets to maintain high transmission rates.
3Ease of operation
If OLLA offset is updated using simple reception error information, then ease of operation is improved, but SINR estimation precision is insufficient for ABS subframes
Solution Approach 1:
The patent makes the OLLA offset dynamic by adjusting it differently based on whether the current subframe is ABS or Non-ABS. The base station calculates separate offsets for each subframe type and applies them dynamically during data transmission, maintaining both operational simplicity and estimation precision.
Data Source
AI summary
The present invention addresses the problem of providing technology which increases the accuracy for estimating quality of a communication channel even in a case in which transmission time limit frames have been set between neighboring cells. The present application relates to quality estimation of a communication channel used by a base station for performing wireless communication with a terminal within a communication area, and is characterized in acquiring quality information for the communication channel between the base station and the terminal, acquiring reception error information related to reception errors for data communication using the communication channel, acquiring transmission time-limit frame information set by a neighboring base station of the base station, updating correction values in accordance with setting information for the transmission time-limit frame information and the reception error information, and estimating the quality of the communication channel using the correction values and the acquired quality information.