Wireless Interference Mixture Reporting for Precise Network Scheduling
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Solution Overview
Problem
Existing wireless communication systems face challenges in accurately modeling and reporting interference experienced by user equipment (UEs), as conventional channel state feedback reports combine interference and channel quality metrics, making it difficult for network entities to differentiate interference effects from other channel conditions, and thus hinder effective scheduling decisions.
Innovation Solution
UEs report interference as a mixture distribution model, comprising multiple probability distributions, with each distribution parameterized by means, covariances, mixing probabilities, or shapes, allowing network entities to accurately model and adjust communications based on the reported interference distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional channel state feedback reports combine interference and channel quality metrics, then reporting simplicity is maintained, but interference differentiation capability deteriorates
Solution Approach 1:
The patent segments the combined channel state feedback report into separate interference metrics and channel quality metrics. Instead of reporting a single combined value, the UE now reports distinct interference measurements (such as interference distribution parameters) separately from channel quality indicators, enabling the network entity to differentiate and analyze interference effects independently while maintaining overall reporting simplicity through standardized feedback mechanisms.
2Measurement precision
If interference is reported as a mixture distribution model with multiple probability distributions, then interference modeling accuracy is improved, but reporting complexity increases
Solution Approach 1:
The patent transforms the complex mixture distribution model into a set of manageable parameters that can be reported efficiently. Instead of transmitting the entire distribution function, the UE reports key parameters such as mixing probabilities, means, and covariances of the constituent probability distributions. This parameterization approach maintains high interference modeling accuracy while reducing reporting complexity to levels suitable for standard wireless communication protocols.
3Reliability
If detailed interference distribution parameters are reported, then scheduling decision accuracy is improved, but information overhead increases
Solution Approach 1:
The patent extracts only the essential interference distribution parameters needed for accurate scheduling decisions from the complete interference measurement data. By identifying and reporting only the critical parameters (such as dominant interference components and their statistical characteristics) rather than all possible interference details, the system achieves high scheduling decision accuracy while minimizing information overhead and maximizing the efficiency of uplink feedback channels.
Data Source
AI summary
Methods, systems, and devices for wireless communication are described. Some wireless communications systems may support interference reporting as a mixture distribution model. A user equipment (UE) may receive signals via one or more interference measurement resources. The UE may obtain interference measurements for a wireless communication channel based on the signals. The UE may transmit an interference report to a network entity that indicates a respective set of one or more distribution parameters for each probability distribution of a set of multiple probability distributions of the mixture distribution. Each probability distribution may correspond to a respective component of the mixture distribution. The network entity may schedule wireless communications with the UE based on the interference report and the mixture distribution.