Gaussian Mixture Interference Reporting for Low-Overhead UEs
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Solution Overview
Problem
The transmission of large amounts of interference information by multiple UEs to a base station results in significant overhead, potentially leading to delayed or dropped transmissions due to resource constraints.
Innovation Solution
Implementing an interference report based on a Gaussian mixture distribution that is fitted to the interference information distribution, using a differential encoding scheme and quantization table to reduce overhead, by including an indication of one or more parameters of the Gaussian mixture distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If explicit interference information is transmitted in interference reports, then interference accuracy is improved, but reporting overhead increases
Solution Approach 1:
The patent transforms the interference information representation from explicit detailed parameters to a fitted Gaussian mixture distribution model. By changing the parameter representation method (from raw interference measurements to distribution parameters like mean, variance, and mixture weights), the system achieves both accurate interference characterization and reduced reporting overhead, as the distribution parameters compactly represent the statistical properties of interference without requiring transmission of all raw measurement data
Solution Approach 2:
The patent creates a simplified copy or representation of the interference information through the Gaussian mixture distribution model. Instead of transmitting the complete set of explicit interference measurements, a fitted distribution model serves as a compact copy that captures the essential statistical characteristics, thereby reducing the quantity of transmitted data while preserving interference accuracy
2Measurement precision
If multiple UEs report unique interference information, then interference characterization is improved, but transmission delays increase
Solution Approach 1:
By transforming detailed interference measurements into compact distribution parameters, the patent reduces the data volume that needs to be transmitted for each UE's interference report. This parameter transformation enables multiple UEs to report their unique interference characteristics simultaneously without causing excessive transmission delays, as each report contains only the essential distribution parameters rather than complete measurement datasets
Solution Approach 2:
The patent transmits only the essential parameters needed to characterize interference (distribution parameters like mean, variance, and mixture weights) rather than all possible interference measurement details. This partial transmission approach provides sufficient interference characterization for network decisions while avoiding the time loss associated with transmitting complete interference information sets from multiple UEs
3Manufacturing precision
If detailed interference information is transmitted, then resource allocation accuracy is improved, but available resources decrease
Solution Approach 1:
The patent changes the parameter format from detailed explicit interference information to compact Gaussian mixture distribution parameters. This parameter transformation maintains resource allocation accuracy by preserving the statistical essential of interference patterns while freeing up network resources, as the reduced data size allows for more frequent reporting and faster processing without consuming excessive uplink bandwidth
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a configuration associated with an interference report. The UE may transmit the interference report in accordance with the configuration, wherein the interference report includes an indication of one or more parameters of a Gaussian mixture distribution that is fitted to an interference information distribution. Numerous other aspects are described.