Base Station MCS Control for URLLC SINR Variations
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Solution Overview
Problem
In multi-cellular environments, such as factories, interference from other cells leads to significant changes in the Signal to Interference and Noise Ratio (SINR), causing increased block error rates and failure in packet reception, which makes it difficult to maintain Ultra-Reliable and Low Latency Communications (URLLC) requirements.
Innovation Solution
A base station apparatus with a controller that determines the appropriate Modulation and Channel Coding Scheme (MCS) by calculating an offset value based on the difference distribution between initial and actual communication quality, ensuring the error rate remains within targets, and adjusts the MCS accordingly during data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If adaptive modulation and channel coding control is performed based on current SINR measurements, then the communication quality adapts to current channel conditions, but the control delay causes the SINR to change during the control period, making it difficult to achieve proper adaptation
Solution Approach 1:
The patent applies preliminary action by determining the MCS in advance based on predicted SINR values that account for expected changes during the control period. Instead of reacting to current SINR measurements after delay occurs, the system proactively predicts future SINR conditions and pre-determines appropriate MCS values, thereby compensating for the inherent control delay in the feedback loop.
Solution Approach 2:
The patent implements dynamics by continuously updating the MCS determination based on changing SINR conditions. The system dynamically adjusts the MCS index according to the predicted SINR evolution, allowing the communication parameters to adapt flexibly to time-varying channel conditions rather than using static or delayed adjustments.
2Reliability
If the MCS is adjusted to maintain low error rates under varying SINR conditions, then reliability improves, but the complexity of determining the appropriate MCS increases
Solution Approach 1:
The patent applies parameter changes by adjusting the MCS index based on predicted SINR values. The system changes the modulation and coding parameters dynamically according to the anticipated channel quality, ensuring reliable packet reception under varying SINR conditions while maintaining a systematic approach to parameter adjustment.
Solution Approach 2:
The patent implements feedback mechanisms by using SINR measurements and packet reception status to continuously refine MCS selections. The system feeds back information about actual channel conditions and reception outcomes to adjust future MCS determinations, creating a closed-loop control system that improves reliability through iterative optimization.
3Reliability
If interference from other cells is present in multi-cellular environments, then the reception SINR decreases, but the system needs to maintain URLLC requirements with low delay and high reliability
Solution Approach 1:
The patent applies preliminary anti-action by proactively compensating for the expected impact of interference on SINR. The system predicts SINR degradation due to multi-cellular interference and pre-adjusts the MCS selection to counteract this harmful effect, thereby maintaining URLLC requirements despite the presence of interference from other cells.
Data Source
AI summary
A base station apparatus includes a controller which determines a value of a modulation and channel coding scheme to be applied at a transmission timing of a data packet required to have the decoding error probability not more than a target error rate, and a transmitter which transmits data to a terminal apparatus, wherein the controller acquires a distribution of variations between first communication quality used when the value of the modulation and channel coding scheme is determined and second communication quality at a time of data transmission and determines a correction value of the first communication quality according to the distribution of the variations and the target error rate, and the transmitter transmits the data by using the modulation and channel coding scheme which is determined by communication quality corrected with the correction value.


