Per-Sub-Band Modulation and Coding Scheme Selection
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing interference, particularly in unlicensed bands, where spatially inseparable interference cannot be mitigated, leading to suboptimal modulation and coding schemes that result in increased error rates and latency.
Innovation Solution
The implementation of granular interference-aware adaptive modulation and coding (ACM) techniques that select modulation and coding schemes per-sub-band, per-user, and per-stream based on observed interference, using multidimensional interference margin generators to adjust bandwidth scheduling and reduce re-transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a broadcast control channel is used to signal one MCS per allocation, then device complexity is reduced, but transmission reliability deteriorates due to inability to adapt to different channel conditions across the frequency band
Solution Approach 1:
The frequency band is divided into multiple sub-bands, and the patent applies different MCS values to each sub-band based on local channel conditions. This segmentation allows the system to maintain simple control channel structure while achieving fine-grained adaptation to varying interference and channel quality across different frequency regions.
Solution Approach 2:
The patent implements per-sub-band MCS selection where each sub-band can have its own optimized MCS value based on local channel conditions, interference levels, and quality metrics. This allows different parts of the frequency band to be treated differently, improving overall transmission reliability without requiring complex centralized control.
2Area of stationary object
If spatially inseparable interference is present in unlicensed bands, then network coverage is extended, but transmission reliability deteriorates due to inability to mitigate interference through spatial means
Solution Approach 1:
The patent dynamically adjusts MCS parameters (modulation order and coding rate) based on measured interference levels and channel quality metrics in each sub-band. By changing these parameters in response to interference conditions, the system maintains reliability even when spatial separation cannot mitigate interference, such as in unlicensed bands with spatially inseparable interference.
3Reliability
If granular per-sub-band per-stream MCS selection is implemented, then transmission reliability is improved through better channel condition matching, but device complexity increases due to multidimensional interference margin calculations
Solution Approach 1:
The patent pre-calculates interference margins and quality metrics for different sub-bands and streams before actual data transmission. These pre-computed values are stored and used during scheduling decisions, reducing the computational burden during real-time transmission while still achieving granular optimization of MCS selection across multiple dimensions.
4Productivity
If interference-aware ACM techniques are used to select MCS per-sub-band per-user per-stream, then productivity is improved through reduced re-transmissions, but measurement precision requirements increase due to need for multidimensional channel condition monitoring
Solution Approach 1:
The patent implements a feedback mechanism where channel quality metrics and interference measurements from previous transmissions are used to adjust MCS selections for future transmissions. This feedback loop allows the system to learn from past performance and make more accurate predictions about channel conditions, reducing the need for extremely precise real-time measurements while still achieving high throughput through intelligent MCS adaptation.
Data Source
AI summary
The present disclosure describes systems and methods for the granular, interference aware selection of modulation and coding schemes (MCS) per-sub-band, per-stream, and in some examples, per-user. In some examples, channel condition metrics regarding wireless communication conditions, including interference conditions, from a communication node of a wireless access system may be received. Based at least on the received channel condition metrics indicative of interference, a multidimensional interference margin generator may determine a per-sub-band per-stream margin. A modulation and coding scheme may be selected based on the per-sub-band per-stream margin. In some examples, the selected modulation and coding scheme may be transmitted to various modulators/demodulators, encoders/decoders, and/or other communication nodes within the wireless access system. In some examples, a scheduler may select an allocation based at least on the per-sub-band per-stream margin.