DYNAMIC TIME DIVISION DUPLEX CONFIGURATION POWERED BY ARTIFICIAL INTELLIGENCE / MACHINE LEARNING

Smart overview of the Invention

The patent application introduces a method for dynamically configuring time division duplex (TDD) communication in mobile radio systems using artificial intelligence (AI) and machine learning (ML). The process begins with registering a user equipment (UE) in a radio communication network and selecting an initial TDD configuration. This configuration is communicated to the UE, which then operates under this setup. Upon detecting changes in the UE's condition, a new TDD configuration is selected to optimize communication, and this updated configuration is communicated back to the UE.

Field and Background

The focus of this disclosure lies in the dynamic adaptation of TDD configurations within mobile radio networks, particularly relevant to 5G systems. TDD communication involves using a single radio carrier with time slots allocated for either downlink or uplink communication. 5G specifications provide fixed slot combinations, but this invention aims to enhance flexibility by dynamically adjusting these settings based on real-time conditions and usage patterns.

Technical Implementation

The detailed description outlines the use of AI/ML models to train and select optimal TDD patterns and slot formats in real-time. The system detects changes in application behavior or radio conditions and adjusts the TDD configuration accordingly. This dynamic adjustment aims to improve throughput, reduce delays, or achieve both for the UE. The AI/ML model plays a critical role in analyzing conditions and determining the most suitable configuration for ongoing communication.

System Architecture

The system architecture includes a communications network facilitating various forms of access such as broadband, wireless, voice, and media. It comprises network elements like base stations and access points supporting multiple device types including mobile phones, tablets, and telephony devices. The network is designed to handle different types of traffic—data, voice, media—through circuit-switched, packet-switched, or other network technologies.

Application in Radio Networks

The patent also describes an exemplary radio communication network incorporating distributed units serving different cells and a centralized unit connected to a 5G core network. This setup supports dynamic TDD configuration adjustments to optimize communication between network elements and UEs. It demonstrates how next-generation radio access technologies can be leveraged to enhance network performance using AI-driven adaptability.