Discounted pCINR for OFDMA Modulation Selection
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Solution Overview
Problem
The existing WiMAX standard lacks a defined method for determining effective carrier-to-interference plus noise ratio (eCINR), which is crucial for selecting appropriate modulation and encoding schemes under real channel conditions, affecting signal quality and data throughput in OFDMA wireless communication systems.
Innovation Solution
A method to compute a discounted physical CINR by deriving a channel margin from channel conditions, which is then used to select the optimal modulation and encoding scheme for wireless communication, involving pCINR calculation, channel estimation, and comparison with ideal non-fading CINR values to determine the effective CINR and corresponding modulation and encoding scheme.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the existing WiMAX standard is used without a defined eCINR determination method, then the system can operate with basic signal quality measurement, but the accuracy of signal quality assessment and modulation scheme selection deteriorates
Solution Approach 1:
The patent segments the CINR determination process into distinct components: physical CINR calculation, channel condition assessment, channel margin derivation, and effective CINR computation. This segmentation allows each component to be optimized independently while maintaining overall measurement accuracy without excessive complexity
Solution Approach 2:
The patent performs preliminary channel estimation and channel margin derivation before computing the final effective CINR value. This preliminary action enables the system to account for fading channel conditions in advance, improving measurement accuracy while structuring the complexity in a manageable sequence
2Reliability
If physical CINR is used directly for modulation scheme selection, then the calculation process is simple, but the accuracy of modulation and encoding scheme selection deteriorates under real fading channel conditions
Solution Approach 1:
The patent introduces channel margin as an intermediary parameter that bridges physical CINR and effective CINR. This intermediary accounts for fading channel conditions and enables more reliable modulation scheme selection while maintaining a structured computation process that manages complexity
Solution Approach 2:
The patent replaces direct use of physical CINR with an effective CINR computation that incorporates channel condition modeling. This substitution improves reliability by accounting for real-world fading effects while organizing the additional computations in a systematic manner
3Measurement precision
If no channel margin derivation is performed, then the computation process is simpler, but the determination of effective CINR under fading channel conditions becomes inaccurate
Solution Approach 1:
The patent performs channel estimation and channel margin derivation as preliminary steps before computing effective CINR. This preliminary action ensures that fading channel conditions are accounted for in advance, improving measurement precision while organizing the computational complexity in a structured sequence
Solution Approach 2:
The patent segments the channel margin computation into distinct steps: channel estimation, fading condition assessment, and margin derivation. This segmentation improves effective CINR determination accuracy while making the computational process more manageable and less complex
Data Source
AI summary
Techniques are provided to determine a more realistic measure of a physical carrier-to-interference plus noise radio (pCINR) associated with a wireless channel between first and second wireless communication devices. Channel conditions are used to derive a channel margin quantity that is in turn used “discount” the pCINR. The discounted pCINR is then used to determine a modulation and encoding scheme that can be used on the wireless channel for communications between the first and second wireless communication devices.