Wireless Gain Selection via PRB and MCS Optimization
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Solution Overview
Problem
Wireless communication systems face challenges in optimizing link capacity and signal gain to achieve higher data throughput and quality of service due to variations in signal attenuation and noise density across communication links.
Innovation Solution
Selecting combinations of physical resource blocks (PRBs) and modulation and coding schemes (MCSs) that meet a data rate threshold, calculating signal gain for each combination, and choosing the configuration with the largest signal gain to optimize data transmission between access nodes and wireless devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If combinations of PRBs and MCSs are selected to meet a data rate threshold, then data throughput is improved, but signal gain may be reduced due to variations in signal attenuation and noise density
Solution Approach 1:
The patent applies parameter changes by systematically varying PRB combinations and MCS levels to find the optimal configuration. The system changes transmission parameters (PRBs and MCS) based on calculated signal gain, adapting to different channel conditions while maintaining data rate requirements. This resolves the contradiction by dynamically adjusting parameters to balance throughput and signal gain.
Solution Approach 2:
The patent implements dynamics by making the PRB-MCS selection adaptive rather than static. The system continuously calculates signal gain for different combinations and selects the configuration with the largest gain, allowing the transmission parameters to dynamically respond to varying channel conditions, thereby maintaining both high throughput and reliable signal gain.
2Productivity
If the number of PRBs is increased to improve link capacity, then data throughput increases, but signal attenuation and noise density effects worsen
Solution Approach 1:
The patent uses parameter changes by adjusting both PRB count and MCS level together rather than increasing PRBs alone. This coordinated parameter adjustment allows the system to achieve desired link capacity while compensating for increased signal attenuation through appropriate MCS selection, resolving the contradiction between capacity and attenuation effects.
Solution Approach 2:
The patent applies local quality by optimizing the PRB-MCS combination specifically for each channel condition. Rather than uniformly increasing PRBs, the system selects specific combinations that are locally optimized for the current signal attenuation and noise density conditions, achieving capacity improvements while minimizing harmful attenuation effects.
3Productivity
If MCS is increased to improve data rate, then throughput increases, but signal gain calculation becomes more sensitive to noise density variations
Solution Approach 1:
The patent applies parameter changes by jointly optimizing PRB and MCS selections rather than independently increasing MCS. This coordinated approach allows the system to achieve higher data rates while the signal gain calculation accounts for noise density variations, preventing excessive sensitivity by balancing both parameters together.
Solution Approach 2:
The patent implements feedback by calculating signal gain for each PRB-MCS combination and using this calculation to select the optimal configuration. The feedback mechanism ensures that MCS increases are accompanied by appropriate PRB adjustments, maintaining measurement precision in signal gain calculation while achieving higher data rates.
Data Source
AI summary
Combinations of a number of physical resource blocks and modulation and coding schemes which meet a data rate threshold are selected. For each combination of the number of physical resource blocks and modulation and coding schemes, a signal gain is calculated. The combination of the number of physical resource blocks and modulation and coding schemes corresponding to the largest signal gain is selected, and information is transmitted from an access node to a wireless device over a communication link using the selected combination of the number of physical resource blocks and modulation and coding schemes.