Beamforming Training Using Segmented Sector and Beam Phases

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Solution Overview

Problem

Current beamforming training methods in wireless communication systems are inefficient in selecting optimal antenna assemblies for directional and spatial signal transmission and reception, leading to suboptimal performance in wireless communication between devices.

Innovation Solution

Implementing a beamforming training session where wireless communication devices use multiple antenna assemblies to transmit and receive training packets, allowing them to select the best antenna assemblies based on Signal-to-Noise-Ratio (SNR) and other criteria for effective communication, and providing feedback to adjust transmission and reception settings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If beamforming training methods are implemented to select optimal antenna assemblies, then wireless communication performance is improved, but training complexity and time consumption increase

Engineering Contradiction:
Improvewireless communication performanceVSAvoidtraining complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The beamforming training process is segmented into distinct phases: sector-level discovery followed by beam-level refinement. This segmentation allows the system to first identify promising directional sectors using simpler methods, then concentrate resources on fine-tuning beams within those sectors, thereby improving performance while managing training complexity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements preliminary sector-level beamforming training before detailed beam-level training. By pre-identifying optimal sectors using broader beam patterns, the system prepares the groundwork for more precise beamforming, reducing the overall training burden and enabling more efficient subsequent beam-level optimization.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If multiple antenna assemblies are used for training transmissions, then selection accuracy of optimal antennas is improved, but training duration increases

Engineering Contradiction:
Improveselection accuracyVSAvoidtraining duration
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The training process is divided into two stages: sector-level discovery using multiple antenna assemblies to identify promising directions, followed by beam-level refinement focusing only on those identified sectors. This segmentation enables accurate selection of optimal antennas while limiting the total training duration by concentrating detailed measurements only where needed.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system applies partial action by using multiple antenna assemblies for sector-level training but not for all beam-level training. This selective approach maintains measurement precision for antenna selection while reducing overall training duration by applying full measurement effort only to the most promising sectors identified in the preliminary stage.

Inventive Principle:
Principle #16Partial or excessive action

3Productivity

If comprehensive beamforming training is performed to optimize transmission and reception settings, then communication efficiency is improved, but system overhead increases

Engineering Contradiction:
Improvecommunication efficiencyVSAvoidsystem overhead
Core Design Contradiction:
ProductivityVSQuantity of substance

Solution Approach 1:

The beamforming training is segmented into sector-level and beam-level phases, with each phase generating specific feedback information. This segmentation reduces system overhead by avoiding redundant feedback transmission - sector-level feedback identifies promising directions while beam-level feedback refines only those specific directions, rather than transmitting all possible beam combinations.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Preliminary sector-level training establishes a foundation for subsequent beam-level training by identifying optimal sectors in advance. This preliminary action reduces overall system overhead by enabling the second stage to focus exclusively on refining beams within already-identified promising sectors, rather than performing exhaustive training across all possible transmit and receive beam combinations.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10715234B2Apparatus, system and method of beamforming training
Publication Date: 2020.07.14 INTEL CORP
  • US10715234B2 patent drawing
  • US10715234B2 patent drawing
  • US10715234B2 patent drawing

AI summary

Some demonstrative embodiments include devices, systems and/or methods of wireless communication via multiple antenna assemblies. For example, a device may include a wireless communication unit to transmit and receive signals via one or more quasi-omnidirectional antenna assemblies, wherein the wireless communication unit is to transmit, via each quasi-omnidirectional antenna assembly, a plurality of first transmissions, to receive, in response to the first transmissions, a plurality of second transmissions from another device via one or more of the quasi-omnidirectional antenna assemblies, and, based on the second transmissions, to select at least one selected transmit antenna assembly for transmitting to the other device and a selected receive antenna assembly for receiving transmissions from the other device. Other embodiments are described and claimed.