Communication Sensing Classification to Reduce Resource Overhead

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Solution Overview

Problem

The challenge of reducing sensing resource overheads in large-scale sensing services is significant, as existing systems often require multiple sensing control requests for each service, leading to inefficient resource utilization.

Innovation Solution

A communication method that classifies sensing requirements into N types, allowing for a single sensing control request to obtain N types of sensing measurement data, thereby reducing the number of control requests and optimizing resource usage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional communication methods are used in unlicensed bands, then communication can be established, but performance is significantly degraded due to lack of coordination and interference from other systems

Engineering Contradiction:
Improvecommunication performanceVSAvoidcoordination mechanism complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces a coordination mechanism that acts as an intermediary between multiple communication systems operating in unlicensed bands. This mediator coordinates resource allocation, transmission timing, and interference management, enabling reliable communication without requiring complex direct negotiation between all participating systems. The coordination mechanism centralizes control to simplify the overall system architecture while improving communication reliability.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If coordination mechanisms are introduced to improve communication in unlicensed bands, then communication performance improves, but the complexity of the communication system increases

Engineering Contradiction:
Improvecommunication performanceVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the coordination function into distinct modules that can be independently implemented and managed. By dividing the coordination mechanism into separate functional components (resource allocation, interference management, timing synchronization), the system achieves improved communication performance while keeping the complexity of individual components manageable. This modular approach allows for selective implementation based on specific deployment requirements.

Inventive Principle:
Principle #1Segmentation

3Productivity

If existing Wi-Fi or cellular systems operate independently in unlicensed bands, then each system can function autonomously, but overall spectrum utilization is inefficient due to interference and lack of coordination

Engineering Contradiction:
Improvespectrum utilization efficiencyVSAvoidsystem independence
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent implements a universal coordination mechanism that can accommodate multiple types of communication systems (Wi-Fi, cellular, Bluetooth, etc.) operating in unlicensed bands. The coordination framework is designed to be system-agnostic, providing a common platform for resource management and interference coordination across different technologies. This multi-functional approach improves spectrum utilization efficiency while maintaining the operational characteristics and independence of individual communication systems through standardized interfaces.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentEP4697796A1Communication method and apparatus
Publication Date: 2026.02.18 HUAWEI TECH CO LTD
  • EP4697796A1 patent drawingFigure 1~3
  • EP4697796A1 patent drawingFigure 4
  • EP4697796A1 patent drawingFigure 5

AI summary

This application pertains to the field of communication technologies, and provides a communication method and apparatus, to reduce sensing resource overheads. In the method, a sensing function or a sensing device may obtain N classification results by classifying sensing requirements of M sensing services. Each classification result includes a sensing requirement of at least one of the M sensing services. Therefore, the sensing device may obtain, by performing N types of sensing operations, sensing measurement data required by each of the M sensing services. In this way, sensing resource overheads can be reduced, and sensing efficiency can be improved.