AI Slice Wireless Communication System for Multi-Dimensional Coverage

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Solution Overview

Problem

Current 5G wireless communication systems face limitations in meeting advanced user demands for radio access resources and performance, particularly in terms of data rate, latency, and mobility, necessitating the development of a next-generation communication system that can accommodate diverse use cases and provide improved flexibility and configurability.

Innovation Solution

A wireless communication system incorporating an AI computing platform with multiple AI slices that enables communication and computing across various environments (air, space, sea, and land) by configuring cells and user equipment to perform computing and communication tasks, utilizing AI slices for optimized resource allocation and security, and supporting multiple frequency bands for enhanced performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If 5G NR system is used to provide flexibility and configurability, then network services and use cases can be optimized, but advanced user demands for radio access resources and performance (data rate, latency, mobility) cannot be fully met

Engineering Contradiction:
Improveflexibility and configurabilityVSAvoidperformance (data rate, latency, mobility)
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent segments the network into multiple AI slices (first AI slices, second AI slices, third AI slice) with different functional characteristics. Each slice can be independently configured and optimized for specific use cases, allowing the system to simultaneously provide flexibility for diverse services and reliable performance for critical applications through dedicated slice resources.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a new dimension of network architecture by placing cells in multiple spatial dimensions (air, space, sea, land) and adding the AI slice dimension to the traditional network structure. This multi-dimensional approach enables simultaneous optimization of flexibility across different environments and reliable performance through AI-powered resource management in each dimension.

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

2Adaptability or versatility

If multiple cells are configured in air, space, sea or land, then ubiquitous coverage is achieved, but system complexity increases

Engineering Contradiction:
Improveubiquitous coverageVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent makes cells universal by enabling them to operate across multiple environments (air, space, sea, land) and support multiple frequency bands. Each cell is designed with multi-functional capabilities to serve diverse use cases, reducing the need for separate dedicated systems for each environment and thereby managing complexity while achieving ubiquitous coverage.

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

Solution Approach 2:

The patent manages system complexity by dynamically changing operational parameters such as frequency band selection and AI slice allocation based on the specific environment and use case. The system can adapt cell parameters (e.g., switching between frequency bands or assigning different AI slices) rather than maintaining complex fixed configurations for each environment.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If AI computing platform with multiple AI slices is implemented, then computing and communication performance is improved, but resource management complexity increases

Engineering Contradiction:
Improvecomputing and communication performanceVSAvoidresource management complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements self-service through AI-powered automated resource management. The AI slices autonomously manage their computational and communication resources based on demand and priorities, reducing the need for manual resource allocation and simplifying management complexity while maintaining high performance through intelligent automation.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system employs feedback mechanisms where AI slices continuously monitor performance metrics and adjust resource allocation dynamically. This feedback loop enables the system to optimize computing and communication performance automatically, managing resource management complexity through continuous monitoring and adaptive adjustment rather than static complex configurations.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12101648B2Wireless communication system and method for performing communication and computing
Publication Date: 2024.09.24 SHARP KK
  • US12101648B2 patent drawing
  • US12101648B2 patent drawing
  • US12101648B2 patent drawing

AI summary

A wireless communication system for performing communication and computing includes a plurality of cells configured to perform the communication between at least one user equipment and at least one network; and an Artificial Intelligence (AI) computing platform comprising a plurality of AI slices to perform the computing, wherein the plurality of cells are located in air, space, sea, or land.