CSI Processing Unit Estimation for 5G UE Energy Saving

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Solution Overview

Problem

The 5G network consumes more energy than 4G networks despite improved energy efficiency, and existing solutions to address this, such as increased computations at user equipment (UE), are limited by UE capability, necessitating accurate estimation of UE capability for energy saving.

Innovation Solution

A method involving a communication apparatus that receives a report configuration from a network apparatus, determining the number of occupied CSI processing units based on total resources and a scaling number, with spatial and power domain adaptations to reduce energy consumption, including enabling or disabling antenna ports and configuring power offset values.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by stationary object

If network energy saving measures are implemented, then energy consumption is reduced, but UE computation capability estimation becomes more challenging

Engineering Contradiction:
Improvenetwork energy consumptionVSAvoidUE capability estimation complexity
Core Design Contradiction:
Use of energy by stationary objectVSDevice complexity

Solution Approach 1:

The patent changes the parameter representation from direct computation capability values to CSI processing unit occupation numbers. By mapping UE computation capability to the number of CSI processing units occupied by report configurations, the system enables energy-saving measurements while maintaining estimation accuracy through a transformed parameter space that is easier to measure and report.

Inventive Principle:
Principle #35Parameter changes

2Use of energy by stationary object

If extra computations are performed at UE side for network energy saving, then network energy efficiency improves, but UE energy consumption increases

Engineering Contradiction:
Improvenetwork energy efficiencyVSAvoidUE energy consumption
Core Design Contradiction:
Use of energy by stationary objectVSUse of energy by moving object

Solution Approach 1:

The UE performs self-measurement of its own CSI processing unit occupation based on configured report parameters. By autonomously calculating the number of occupied processing units from its own configuration (number of report configurations, CSI-RS resources, etc.), the UE determines its computation burden without requiring additional energy-intensive measurements or external assistance, thus improving network energy efficiency while maintaining acceptable UE energy consumption.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If accurate UE capability estimation is achieved, then network resource allocation improves, but measurement and reporting complexity increases

Engineering Contradiction:
ImproveUE capability estimation accuracyVSAvoidmeasurement and reporting complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts the essential capability information from complex UE computations by focusing specifically on the number of CSI processing units occupied. Instead of measuring and reporting all aspects of UE computation capability, the system extracts the key metric of processing unit occupation from report configurations, which provides sufficient accuracy for network resource allocation while significantly reducing measurement and reporting complexity.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS20240283508A1Method And Apparatus For Estimating CSI Processing Unit In Mobile Communications
Publication Date: 2024.08.22 MEDIATEK INC
  • US20240283508A1 patent drawing
  • US20240283508A1 patent drawing
  • US20240283508A1 patent drawing

AI summary

Examples pertaining to determination of occupied channel state information (CSI) processing units in mobile communications are described. A user equipment (UE) receives a report configuration from a network apparatus. The report configuration contains one or more sub-configurations. Then, the UE performs determines a number of occupied CSI processing units based on a total number of resources corresponding to at least one of the sub-configurations and a scaling number.