2D Frequency-Scanning Transceiver for Low-Latency NGNLE Beamforming

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Solution Overview

Problem

Existing wireless communication technologies face challenges in handling non-linear and non-Gaussian environments (NGNLEs) with high computational complexity, latency, and health and safety concerns, particularly in 5G and 6G networks, due to reliance on traditional time-domain beamforming and complex algorithms.

Innovation Solution

Integration of natural intelligence (NI) with a two-dimensional frequency scanning transceiver (2DFST) for adaptive frequency-domain beamforming, utilizing supervised learning and reinforcement learning to optimize bit error rates, reduce computational complexity, and minimize radiation exposure.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional time-domain beamforming and complex algorithms are used, then wireless communication can handle linear and Gaussian environments, but computational complexity and latency increase significantly in non-linear and non-Gaussian environments

Engineering Contradiction:

Improvecommunication reliabilityVSAvoidcomputational complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces traditional time-domain beamforming (mechanical/system-based approach) with frequency-domain processing combined with natural intelligence algorithms. This substitution transforms the problem from complex time-domain computations to more efficient frequency-domain operations, reducing computational complexity while maintaining communication reliability in NGNLEs

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the domain parameter from time-domain to frequency-domain processing. By transforming signals to the frequency domain and applying natural intelligence-based frequency scanning, the system achieves better performance with reduced computational burden compared to traditional time-domain methods

Inventive Principle:

Principle #35Parameter changes

2Ease of operation

If traditional beamforming methods are used, then system operation is straightforward, but latency increases in dynamic environments

Engineering Contradiction:

Improvesystem operation simplicityVSAvoidsystem latency

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The patent performs preliminary frequency scanning and channel estimation before actual data transmission. By pre-characterizing the channel in the frequency domain and using natural intelligence to predict optimal frequencies, the system reduces latency during actual communication while maintaining operational simplicity through automated procedures

Inventive Principle:

Principle #10Preliminary action

3Reliability

If high power transmission is used to overcome path loss, then signal coverage is improved, but radiation exposure and health safety concerns increase

Engineering Contradiction:

Improvesignal coverageVSAvoidradiation exposure

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent applies natural intelligence to identify and transmit only on specific frequency subsets that are optimal for the current channel conditions. This localized frequency selection concentrates transmission energy efficiently, achieving the required signal coverage with lower overall power and reduced radiation exposure compared to broad-spectrum high-power transmission

Inventive Principle:

Principle #3Local quality

4Reliability

If complex algorithms are used to handle NGNLEs, then communication performance is maintained, but processing time and energy consumption increase

Engineering Contradiction:

Improvecommunication performanceVSAvoidprocessing energy

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent replaces computationally intensive complex algorithms with natural intelligence-based frequency domain processing. This substitution maintains communication performance in NGNLEs while significantly reducing processing energy consumption by leveraging the efficiency of frequency-domain operations and NI-based decision making

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20260074839A1Two-dimensional frequency scanning transceiver with integrated natural intelligence for optimized RF wireless communications

Publication Date: 2026.03.12 NI INSPIRED CHIPS INC

AI summary

What is disclosed is: a method for natural intelligence (NI) processing for a wireless communication system. The method comprises receiving perceptions comprising a plurality of transmitted symbols, and determining, based on the received plurality of transmitted symbols, whether a suitable posterior model is available. when a suitable posterior model is available, the model is retrieved. The retrieved posterior model is used to estimate a BER, and the estimated BER is communicated to an executive subsystem. when the estimated BER is below a threshold, a prospective action is selected. The selected prospective action is tested in a virtual environment to determine whether the prospective action is beneficial. when the selected prospective action is beneficial, it is communicated to a feedback subsystem. Signals comprising the selected prospective action are received. An adjustment to implement the selected prospective action is determined, and signals to perform the determined adjustment are transmitted.