Multi-Slot Intelligent Precoding for Dynamic RTBC Transmission

Solution Overview

Problem

Conventional precoding technologies fail to meet the low-latency and high-reliability requirements of real-time broadband communication (RTBC) services, particularly in maximizing system utility and user capacity due to the dynamic nature of transmission demands across multiple slots.

Innovation Solution

An intelligent precoding method using a deep reinforcement learning (DRL) network concatenated with conventional precoding to adaptively regulate precoding schemes, optimizing transmission across multiple slots to enhance data receiving rates and user capacity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional precoding technology is used to maximize transmission rate in current slot, then transmission rate is improved, but system long-term utility is not maximized

Engineering Contradiction:

Improvetransmission rateVSAvoidsystem long-term utility

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system performs preliminary actions by predicting future channel states and transmission requirements before they occur. The precoding scheme is designed based on predicted future states rather than just current conditions, allowing the system to proactively optimize for long-term utility while maintaining current transmission performance.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The precoding scheme transitions from static single-slot optimization to dynamic multi-slot joint optimization. The system continuously adapts precoding parameters based on evolving channel conditions and transmission requirements across multiple slots, enabling it to maximize system long-term utility while maintaining high transmission rates.

Inventive Principle:

Principle #15Dynamics

2Reliability

If low-latency service requirement is implemented, then reliability is improved, but effective channel capacity is reduced

Engineering Contradiction:

Improvelow-latency service requirementVSAvoideffective channel capacity

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary actions by predicting future channel states and transmission requirements before they occur. The precoding scheme is designed based on predicted future states rather than just current conditions, allowing the system to proactively optimize for long-term utility while maintaining current transmission performance.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The precoding scheme transitions from static single-slot optimization to dynamic multi-slot joint optimization. The system continuously adapts precoding parameters based on evolving channel conditions and transmission requirements across multiple slots, enabling it to maximize system long-term utility while maintaining high transmission rates.

Inventive Principle:

Principle #15Dynamics

3Quantity of substance

If large data amount is transmitted, then service quality is improved, but user capacity is extremely limited

Engineering Contradiction:

Improvedata amountVSAvoiduser capacity

Core Design Contradiction:

Quantity of substanceVSProductivity

Solution Approach 1:

The system performs preliminary actions by predicting future channel states and transmission requirements before they occur. The precoding scheme is designed based on predicted future states rather than just current conditions, allowing the system to proactively optimize for long-term utility while maintaining current transmission performance.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The precoding scheme transitions from static single-slot optimization to dynamic multi-slot joint optimization. The system continuously adapts precoding parameters based on evolving channel conditions and transmission requirements across multiple slots, enabling it to maximize system long-term utility while maintaining high transmission rates.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20260074768A1Intelligent precoding method in real-time broadband communication scenario

Publication Date: 2026.03.12 HUAWEI TECH CO LTD

AI summary

This application discloses an intelligent precoding method and apparatus in a real-time broadband communication scenario. Including: obtaining a precoding matrix of first to-be-transmitted data of at least one terminal, where the precoding matrix has a correspondence with a priority weight of the at least one terminal, the priority weight corresponds to a first factor, the first factor has a correspondence with first state information, and the first state information corresponds to the first to-be-transmitted data of the at least one terminal; completing precoding of the first to-be-transmitted data of the at least one terminal based on the precoding matrix; and outputting first data, where the first data is data obtained by precoding the first to-be-transmitted data of the at least one terminal. Solving a problem that a single-slot optimal solution cannot meet a dynamically changing transmission requirement of a user between slots.