Bistatic MIMO Radar Sensing Configuration in Cellular Networks

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Solution Overview

Problem

Current wireless communication systems, particularly in 5G networks, face challenges in enabling efficient bistatic and multistatic MIMO radar sensing operations due to complexities in signaling and waveform orthogonality schemes, which affect target detection and localization accuracy.

Innovation Solution

The implementation of a method where network nodes transmit capability messages to a network entity, which configures them to perform bistatic or multistatic MIMO radar sensing operations using specific configuration parameters, including waveform orthogonality schemes like TDM, DDM, or FDM, to enable accurate target detection and localization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If network nodes are configured to perform bistatic or multistatic MIMO radar sensing operations, then target detection and localization accuracy is improved, but device complexity and signaling overhead increase

Engineering Contradiction:
Improvetarget detection and localization accuracyVSAvoidsignaling and waveform orthogonality scheme complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the radar sensing function into distributed network nodes (gNBs and UEs) that can independently perform sensing operations. Each node is configured with specific capability parameters and waveform orthogonality schemes (TDM, FDM, CDM) to handle different aspects of the sensing task, reducing the complexity burden on any single node while improving overall measurement precision through coordinated multi-node operation.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent employs parameter changes by configuring network nodes with specific capability parameters (e.g., waveform orthogonality support, MIMO antenna configurations) and adjusting operational parameters (time-frequency resources, power levels) to optimize the balance between measurement precision and device complexity. The network entity dynamically configures these parameters based on sensing requirements and node capabilities.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If multiple network nodes participate in MIMO radar sensing operations, then sensing coverage and accuracy are enhanced, but coordination and configuration overhead increase

Engineering Contradiction:
Improvesensing accuracyVSAvoidcoordination and configuration overhead
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements multi-functionality by designing network nodes that can simultaneously perform communication and radar sensing functions. The same network infrastructure (gNBs and UEs) used for cellular communication is also utilized for MIMO radar sensing, eliminating the need for dedicated sensing hardware and reducing coordination overhead between separate systems.

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

Solution Approach 2:

The patent incorporates feedback mechanisms where network nodes report their capability parameters to the network entity, which then configures appropriate waveform orthogonality schemes and operational parameters. This feedback loop enables automatic adaptation to node capabilities and sensing requirements, reducing manual configuration overhead while maintaining optimal sensing accuracy.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If waveform orthogonality schemes (TDM, DDM, FDM) are implemented for MIMO radar sensing, then target detection accuracy is improved, but use of energy and signal processing complexity increase

Engineering Contradiction:
Improvetarget detection accuracyVSAvoidenergy consumption for waveform transmission and processing
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent implements periodic action through Time Division Multiplexing (TDM) waveform orthogonality schemes, where different MIMO channels are transmitted in alternating time slots. This periodic transmission pattern enables target detection accuracy improvement through orthogonal channel separation while reducing energy consumption compared to continuous transmission of all channels simultaneously.

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The patent employs Frequency Division Multiplexing (FDM) and Code Division Multiplexing (CDM) to add frequency and code dimensions to the waveform transmission. By separating MIMO channels in the frequency and code domains rather than only in time, the system achieves improved target detection accuracy while distributing energy consumption across multiple dimensions, reducing peak power requirements.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS20240345234A1Bistatic multiple-input multiple-output (MIMO) radar in cellular networks
Publication Date: 2024.10.17 QUALCOMM INC
  • US20240345234A1 patent drawing
  • US20240345234A1 patent drawing
  • US20240345234A1 patent drawing

AI summary

Disclosed are techniques for wireless environment sensing. In an aspect, a network node transmits, to a network entity, a capability message including one or more capability parameters indicating one or more capabilities of the network node to participate in bistatic or multistatic multiple-input multiple-output (MIMO) radar sensing operations, receives, from the network entity, a configuration message including one or more configuration parameters configuring the network node to participate in a bistatic or multistatic MIMO radar sensing operation, and performs the bistatic or multistatic MIMO radar sensing operation based on the one or more configuration parameters.