UE MCS Adjustment via SINR and CQI Feedback
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Solution Overview
Problem
In wireless communication systems, especially in multiple-user transmission scenarios, the existing Modulation and Coding Scheme (MCS) determination by base stations is inaccurate due to the inability of User Equipment (UE) to consider interference from other UEs, leading to reduced downlink scheduling accuracy and spectrum efficiency.
Innovation Solution
A method where User Equipment (UE) receives and estimates Signal to Interference and Noise Ratio (SINR) and Channel Quality Indicator (CQI) from multiple downlink data frames, calculates the MCS variation, and feeds it back to the base station, allowing for dynamic adjustment of the MCS to account for interference and improve scheduling accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the base station determines MCS based on UE feedback CQI in single-user transmission scenario, then the MCS determination process is simple, but the scheduling accuracy is reduced in multiple-user transmission scenarios due to inability to consider interference from other UEs
Solution Approach 1:
The patent applies feedback by having the UE feed back not only CQI but also SINR information to the base station. The base station then uses this feedback information to adjust the MCS determination process, compensating for the interference from other UEs and improving scheduling accuracy in multiple-user transmission scenarios.
Solution Approach 2:
The patent changes the parameters used for MCS determination by introducing SINR as an additional parameter alongside CQI. This parameter change enables the base station to consider interference levels when determining MCS, thereby improving scheduling accuracy without fundamentally changing the existing MCS determination framework.
2Measurement precision
If the UE estimates SINR and CQI from multiple downlink data frames and feeds back MCS variation, then the downlink scheduling accuracy is improved, but the UE processing complexity and feedback overhead increase
Solution Approach 1:
The patent applies preliminary action by having the UE estimate SINR and CQI from multiple downlink data frames in advance before the actual MCS adjustment is needed. The UE calculates the MCS variation based on these pre-estimated values and feeds it back to the base station, which then uses this information to adjust future MCS selections.
Solution Approach 2:
The patent uses feedback by having the UE feed back the calculated MCS variation to the base station. This feedback mechanism allows the base station to adjust its MCS determination based on the UE's actual channel conditions and interference experiences, improving scheduling accuracy while distributing the processing complexity between the UE and base station.
3Productivity
If the base station adjusts MCS based on UE feedback, then system throughput is enhanced, but the response time and adjustment latency increase
Solution Approach 1:
The patent applies preliminary action by having the UE prepare and feed back the MCS variation information in advance, before the base station needs to adjust the MCS for the next transmission. This allows the base station to perform MCS adjustment more quickly, reducing the latency between channel condition changes and MCS updates while still capturing the throughput benefits of accurate MCS selection.
Data Source
AI summary
The present disclosure provides a method, User Equipment (UE) and base station for adjusting a Modulation and Coding Scheme (MCS). The method comprises: receiving, by a user equipment (UE), a first downlink data frame sent by a base station at a first moment, and estimating, by the UE, a first Signal to Interference and Noise Ratio (SINR) and a first Channel Quality Indicator (CQI) according to the first downlink data frame; estimating a second SINR and a second CQI according to a received second downlink data frame, wherein the second downlink data frame is sent by the base station at a second moment later than the first moment; calculating, by the UE, a MCS variation according to at least one of the first CQI, the second CQI, the first SINR or the second SINR; and feeding back, by the UE, the MCS variation to the base station.


