Asymmetric Channel Model Parameter Generation for Millimeter Wave Systems

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Solution Overview

Problem

Existing channel models primarily focus on single links and fail to accurately describe the channel characteristics between uplink and downlink in asymmetric communication systems, particularly in massive MIMO systems at the millimeter wave band.

Innovation Solution

A method for generating parameters of an uplink and downlink asymmetric channel model is developed, involving the determination of primary antenna configurations, calculation of three-dimensional antenna patterns, scattering distribution, and coordinate transformations to derive effective scatterers and channel impulse responses, enabling accurate modeling of both uplink and downlink channels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If single-link channel models are used, then model simplicity is maintained, but accuracy in describing asymmetric uplink-downlink channel characteristics deteriorates

Engineering Contradiction:
Improvechannel model complexityVSAvoidchannel characteristic description accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent segments the channel modeling process into distinct uplink and downlink components, each with their own scattering distributions and path characteristics. By dividing the asymmetric channel into separable uplink and downlink models with independent parameter sets, the patent achieves accurate representation of bidirectional channel characteristics while maintaining manageable model complexity through modular structure.

Inventive Principle:
Principle #1Segmentation

2Ease of manufacture

If symmetric antenna configurations are used, then system design simplicity is maintained, but performance in asymmetric communication scenarios deteriorates

Engineering Contradiction:
Improvesystem design simplicityVSAvoidasymmetric communication performance
Core Design Contradiction:
Ease of manufactureVSReliability

Solution Approach 1:

The patent explicitly introduces asymmetric antenna configurations where the transmitting array and receiving array have different numbers of elements and different geometric arrangements. This asymmetry is designed to match the actual asymmetric communication scenarios, improving system performance and reliability in millimeter wave massive MIMO applications while maintaining clear design guidelines for implementation.

Inventive Principle:
Principle #4Asymmetry

3Measurement precision

If detailed asymmetric channel modeling is implemented, then channel characteristic accuracy is improved, but computational complexity increases

Engineering Contradiction:
Improvechannel model accuracyVSAvoidmodeling process complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent employs parameter transformation techniques to map complex asymmetric channel characteristics into standardized parameter sets. By changing the representation parameters and using coordinate transformations between uplink and downlink domains, the patent achieves accurate channel modeling while reducing computational complexity through efficient parameter relationships and reuse of common parameters.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20240340097A1Uplink and downlink asymmetric channel model parameter generating method
Publication Date: 2024.10.10 SOUTHEAST UNIV
  • US20240340097A1 patent drawing
  • US20240340097A1 patent drawing

AI summary

Disclosed in the present disclosure is an uplink and downlink asymmetric channel model parameter generating method. According to a modeling method, uplink and downlink channel transmission matrices can be generated at the same time when an asymmetric transceiving antenna configuration is used in an uplink and a downlink. In the method, firstly, parameters of a propagation channel between antennas are generated by using a geometric stochastic modeling method according to environmental parameters. Then an antenna pattern is introduced to calculate effective scatterers and corresponding effective paths of the uplink and the downlink. Finally, channel impulse responses of the uplink and the downlink are obtained. The method can be applied to the simulation and optimization of actual asymmetric communication systems.