Wireless MCS Compensation for SINR-Based Throughput Control
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Solution Overview
Problem
Existing 5G mobile communication systems face issues with modulation and coding scheme (MCS) levels being unnecessarily lowered in areas with relatively low signal-to-interference plus noise ratio (SINR), leading to reduced throughput, and not being raised in areas with high SINR, resulting in suboptimal data transmission.
Innovation Solution
A method and apparatus for determining MCS in a wireless communication system by obtaining channel information, calculating compensation parameter values and offset values based on channel states, and adjusting MCS levels accordingly to optimize data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If MCS levels are lowered in low SINR areas to ensure reliable transmission, then transmission reliability is improved, but throughput is reduced
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the target block error rate (BLER) based on channel conditions. In low SINR areas, the system sets a lower target BLER (e.g., 1%) to ensure reliable transmission, while in high SINR areas, it increases the target BLER (e.g., 10%) to allow higher throughput. This dynamic parameter adjustment resolves the contradiction by adapting the reliability threshold to the actual channel quality, preventing unnecessary throughput reduction in poor conditions while maximizing data rate in good conditions.
Solution Approach 2:
The patent implements dynamics by making the MCS selection process adaptive rather than static. The base station continuously monitors channel quality indicators (CQI) and adjusts both the target BLER and MCS levels in real-time based on current SINR conditions. This dynamic adaptation allows the system to automatically optimize the trade-off between reliability and throughput as channel conditions change, resolving the contradiction by enabling the system to operate at the optimal point on the reliability-throughput curve for each specific channel state.
2Productivity
If MCS levels are increased in high SINR areas to maximize throughput, then data transmission speed is improved, but transmission reliability may deteriorate
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the target BLER based on channel conditions. In high SINR areas, the system sets a higher target BLER (e.g., 10%) to allow higher throughput, while in low SINR areas, it decreases the target BLER (e.g., 1%) to ensure reliable transmission. This dynamic parameter adjustment resolves the contradiction by adapting the reliability threshold to the actual channel quality, preventing unnecessary throughput reduction in poor conditions while maximizing data rate in good conditions.
Solution Approach 2:
The patent implements feedback mechanisms where the base station receives channel quality indicators (CQI) from user equipment and adjusts MCS levels and target BLER accordingly. The system continuously monitors transmission outcomes and channel conditions, using this feedback to optimize the balance between throughput and reliability. This feedback loop ensures that high MCS levels are only applied when channel conditions support them, maintaining both speed and reliability.
3Device complexity
If a fixed target BLER is used for MCS determination, then system complexity is reduced, but transmission efficiency is degraded
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the target BLER based on channel conditions rather than using a fixed value. The base station modifies the target BLER parameter according to measured SINR and CQI, enabling adaptive optimization of transmission efficiency. This resolves the contradiction by allowing the system to achieve high transmission efficiency through parameter adaptation while keeping the underlying MCS determination mechanism relatively simple.
Solution Approach 2:
The patent implements dynamics by making the target BLER a variable parameter that changes with channel conditions rather than a static fixed value. The system dynamically selects appropriate target BLER levels based on current SINR measurements, allowing it to optimize transmission efficiency adaptively. This dynamic approach maintains system simplicity by using straightforward conditional logic while achieving superior transmission efficiency compared to fixed BLER schemes.
Data Source
AI summary
A method performed by a base station in a wireless communication system is provided. The method includes obtaining, from a terminal, first channel information indicating a channel state between the base station and the terminal, determining a first compensation parameter value based on a first parameter value associated with the channel state, which is determined based on the first channel information indicating the channel state, and a first offset value for compensation of the first parameter value associated with the channel state, determining a first modulation and coding scheme (MCS) level applied to the terminal as a first MCS level, based on the first compensation parameter value, determining a second offset value for compensation of the first compensation parameter value, based on the determined first compensation parameter value, determining a second compensation parameter value, based on a second parameter value associated with the channel state, which is determined based on second channel information indicating the channel state, and the second offset value, and determining the MCS level applied to the terminal, based on the second compensation parameter.