Hybrid Data Rate Scheduling via MCS and SINR Multipliers
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Solution Overview
Problem
Current data communication systems face challenges in efficiently assigning hybrid modulation and coding scheme (MCS) throughput, leading to suboptimal performance in both equal-throughput and equal-bandwidth scenarios, which affects the quality of service (QOS) and bandwidth utilization across wireless networks.
Innovation Solution
Implementing a scheduler device that assigns data rate multiplier values based on the type of MCS and Signal Interference plus Noise Ratio (SINR) values, allowing for hybrid scheduling that balances throughput and bandwidth allocation across different MCS groups, thereby optimizing network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If higher order modulation (e.g., 64-QAM) is used to increase bit rate per symbol, then channel throughput is improved, but symbol detection reliability deteriorates in the presence of signal interference
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the modulation order and coding rate based on measured SINR values. The system transitions between different modulation schemes (BPSK, QPSK, 16-QAM, 64-QAM) and coding rates (1/2, 2/3, 3/4, 5/6) to optimize the trade-off between throughput and reliability according to channel conditions
Solution Approach 2:
The patent implements dynamics through adaptive modulation and coding where the modulation order and coding rate are not fixed but dynamically selected based on real-time SINR measurements. The system continuously adapts the transmission parameters to match current channel conditions, allowing optimal performance across varying interference levels
2Reliability
If equal-throughput scheduling is applied to all client devices, then quality of service is improved, but bandwidth utilization deteriorates
Solution Approach 1:
The patent applies local quality by assigning different data rate multipliers to different client devices based on their specific MCS and SINR conditions. Instead of uniform treatment, each client receives customized throughput assignments (e.g., 0.5x, 0.75x, 1.0x, 1.25x, 1.5x multipliers) tailored to their channel quality and modulation scheme
Solution Approach 2:
The patent segments the client device population into different groups based on their MCS and SINR characteristics. The scheduler divides clients into categories (e.g., those using QPSK vs. 64-QAM, different SINR ranges) and applies differentiated data rate multiplier policies to each segment, optimizing both QOS and bandwidth utilization
3Productivity
If equal-bandwidth scheduling is applied to all client devices, then bandwidth utilization is improved, but quality of service deteriorates
Solution Approach 1:
The patent applies local quality by assigning different data rate multipliers to different client devices based on their specific MCS and SINR conditions. Instead of uniform treatment, each client receives customized throughput assignments (e.g., 0.5x, 0.75x, 1.0x, 1.25x, 1.5x multipliers) tailored to their channel quality and modulation scheme
Solution Approach 2:
The patent segments the client device population into different groups based on their MCS and SINR characteristics. The scheduler divides clients into categories (e.g., those using QPSK vs. 64-QAM, different SINR ranges) and applies differentiated data rate multiplier policies to each segment, optimizing both QOS and bandwidth utilization
4Productivity
If multiple modulation levels and coding rates are employed to maximize information transfer, then channel capacity is improved, but system complexity deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-defining discrete modulation and coding scheme combinations (MCS0 through MCS15) with specific modulation orders and coding rates. These predefined configurations are prepared in advance based on theoretical channel capacity analysis, allowing the system to select from optimized presets rather than dynamically computing optimal parameters in real-time
Solution Approach 2:
The patent applies parameter changes by systematically varying modulation order (1, 2, 4, 6 bits/symbol) and coding rate (1/2, 2/3, 3/4, 5/6) across different MCS levels. This structured parameter exploration creates a finite set of achievable throughput values that balance channel capacity with implementation complexity
Data Source
AI summary
In a data communications system a scheduler device and multiple client devices communicate with each other over a data communications network. The scheduler device assigns a portion of the system's client devices one or more data rate multiplier values that individually affect a maximum throughput associated with their respectively assigned modulation and coding scheme (MCS). The data rate multiplier value assignment is selected by the scheduler device based on a type MCS or a signal interference plus noise ratio (SINR) value. The assigned data rate multiplier values may result in a hybrid throughput scheduling scenario amongst the client devices.