Interference Distribution Compression for Wireless Resource Overhead Reduction
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently reporting and managing interference at user equipment (UE) due to the large resource overhead associated with explicit interference distribution reporting, which does not account for time, frequency, or spatial correlation properties of interference.
Innovation Solution
A method and apparatus for wireless communications at a UE that measure interference over a set of interference measurement resources, encode interference information using a compression scheme such as a codeword-based or artificial neural network-based scheme, and transmit the encoded information to a network entity, allowing for efficient reporting and consideration of interference correlations during scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If explicit interference distribution reporting is used, then complete interference information is provided to the network entity, but resource overhead increases significantly
Solution Approach 1:
The patent extracts only the essential interference characteristics (correlation properties in time, frequency, and spatial domains) from the complete interference distribution, rather than reporting all interference measurements. This extraction approach provides the network entity with sufficient information for scheduling decisions while significantly reducing the amount of data that needs to be reported.
Solution Approach 2:
The patent transforms the interference distribution information by changing its representation parameters - instead of reporting raw interference measurements across all resources, it reports compressed parameters that capture correlation properties (such as correlation coefficients or simplified statistical characteristics). This parameter transformation maintains the essential information needed for interference-aware scheduling while reducing reporting overhead.
2Quantity of substance
If compression scheme is applied to interference information, then resource overhead is reduced, but complexity of encoding and decoding increases
Solution Approach 1:
The patent applies partial compression by focusing only on the most important interference characteristics (correlation properties) rather than attempting to compress the entire interference distribution. This partial action approach achieves sufficient compression for reducing overhead while keeping the encoding complexity manageable by concentrating computational effort on extracting key correlation parameters.
Solution Approach 2:
The patent uses simplified models or representative samples to copy the essential interference distribution characteristics rather than processing the complete interference data. By creating compressed representations that capture the correlation structure (such as using representative correlation coefficients), the system reduces both reporting overhead and processing complexity.
3Ease of operation
If interference distribution is reported without considering correlation properties, then reporting is simpler, but scheduling efficiency decreases
Solution Approach 1:
The patent performs preliminary analysis of interference correlation properties at the user equipment before reporting to the network entity. By pre-computing and identifying the correlation characteristics in time, frequency, and spatial domains, the system prepares compressed interference information that is ready for efficient network-side processing, thereby improving scheduling efficiency without complicating the reporting mechanism.
Solution Approach 2:
The patent changes the representation parameters of interference information to include correlation properties (such as correlation coefficients or simplified statistical measures) rather than reporting only raw interference values. This parameter transformation enables the network entity to perform more efficient interference-aware scheduling while maintaining relatively simple reporting procedures.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit compressed interference information to a network entity. The UE may measure interference at the UE over a set of interference measurement resources. The UE may determine an interference distribution over the set of resources. The UE may encode the interference distribution using a compressions scheme which may reduce a payload or size of the interference distribution. The compression scheme may include compressing the distribution of the interference. Encoding the interference information may include generating a mean vector and a covariance matrix representative of the distribution of the interference measured over the given set of interference measurement resources. The UE may transmit the encoded interference information, and the network entity may decode the encoded interference information. The network entity may schedule communications with the UE based on the interference information.