Adaptive Multi-Rate Downlink Adaptation for Wireless Signal Interference
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Solution Overview
Problem
Current cellular communication systems face challenges in efficiently adapting to varying data communication demands, particularly in managing signal interference and noise in downlink transmissions, which affects data rate and quality in wireless networks.
Innovation Solution
A method and system for adaptive multi-rate (AMR) and measurements downlink adaptation, utilizing a processor that cancels interfering signals and noise using single antenna interference cancellation (SAIC) and decoding algorithms, allowing for real-time adjustment of signal measurements and coding/decoding rates to optimize data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If adaptive multi-rate (AMR) and measurements downlink adaptation are implemented, then data transmission quality and rate are improved, but device complexity increases
Solution Approach 1:
The patent segments the complex signal processing task into distinct functional modules: interference cancellation module, noise cancellation module, signal measurement module, and coding/decoding rate adjustment module. Each module handles a specific aspect of signal processing, making the overall system more manageable and implementable despite the increased complexity required for high-quality transmission
Solution Approach 2:
The system performs preliminary signal processing by canceling interfering signals and noise before final signal measurement and decoding. This preliminary action of removing unwanted components from the received signal improves the quality of subsequent processing steps, enabling better data transmission quality while organizing the complexity in a structured sequence
2Reliability
If single antenna interference cancellation (SAIC) and decoding algorithms are used to cancel interfering signals and noise, then signal-to-noise ratios and bit error rates are improved, but processing time increases
Solution Approach 1:
The patent implements continuous signal processing where interference cancellation, noise cancellation, and signal measurement occur in an ongoing manner rather than as discrete batch operations. This continuous processing approach maintains improved signal-to-noise ratios while optimizing processing time by avoiding interruptions and re-initialization cycles
Solution Approach 2:
The system applies partial interference and noise cancellation, focusing computational resources on canceling the most significant interfering components and noise sources rather than attempting to eliminate all possible interference. This selective approach achieves adequate signal-to-noise ratio improvement while reducing the processing time required for comprehensive cancellation
3Adaptability or versatility
If real-time adjustment of coding/decoding rates is implemented, then data communication adaptability is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic adjustment of coding and decoding rates based on real-time signal conditions. The system continuously monitors signal quality metrics and adapts the coding/decoding rates accordingly, enabling flexible data communication that responds to changing channel conditions while maintaining manageable system complexity through algorithmic optimization
Solution Approach 2:
The system changes key parameters such as coding rate and decoding rate based on signal conditions and data requirements. By adjusting these parameters dynamically, the system achieves adaptability in data communication without requiring complete system redesign, managing complexity through parameter optimization rather than structural complexity
Data Source
AI summary
Various aspects of a method and system for adaptive multi rate and measurements adaptation may include a processor that enables computation of at least one signal level measurement for at least one received signal. The processor may enable cancelling of interfering signals received in addition to the received signal based on processing of a received bit sequence using a first burst process operation (BP) in a first decoding algorithm that utilizes SAIC operations. The processor may also enable cancelling of noise signals received in addition to the received signal based on processing the received bit sequence using a second BP operation that utilizes redundancy and imposes a physical constraint during decoding. The processor may also enable adjustment of the computed at least one signal level measurement.