Antenna Weight Adjustment for Channel Shutdown Coverage Stability

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Solution Overview

Problem

Existing antenna weight value adjustment schemes fail to account for channel shutdown energy saving scenarios, leading to deviations in predicted coverage and suboptimal network performance.

Innovation Solution

An antenna weight value determination method that identifies user terminal distribution under different channel states and determines optimal weight values based on this distribution, using conversion and optimization algorithms to ensure consistent coverage before and after channel shutdown.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by moving object

If channels are shut down to achieve energy saving, then energy consumption is reduced, but coverage range changes and communication stability is affected

Engineering Contradiction:

Improveenergy consumptionVSAvoidcommunication stability

Core Design Contradiction:

Use of energy by moving objectVSReliability

Solution Approach 1:

The patent changes the antenna weight parameter to compensate for the coverage changes caused by channel shutdown. By adjusting the weight values of remaining active channels, the system maintains the original coverage pattern while operating in energy-saving mode, thus resolving the contradiction between energy reduction and communication stability.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system dynamically switches between different operating modes (normal mode with all channels active and energy-saving mode with channels shut down) and adjusts antenna weights accordingly. This dynamic adaptation allows the system to optimize energy consumption while maintaining reliable communication through real-time parameter adjustment.

Inventive Principle:

Principle #15Dynamics

2Adaptability or versatility

If preset antenna weight values are used, then device complexity is reduced, but adaptability to diverse coverage scenarios is insufficient

Engineering Contradiction:

Improvecoverage scenario adaptabilityVSAvoidweight value management

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent pre-calculates and stores multiple sets of antenna weight values corresponding to different channel shutdown scenarios and coverage requirements. When a specific scenario is detected, the system directly applies the pre-prepared weight configuration, avoiding complex real-time calculations and reducing operational complexity while maintaining high adaptability.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If AI optimization algorithm is used to select antenna weight values, then coverage optimization is improved, but the algorithm fails under channel shutdown scenarios due to gain changes

Engineering Contradiction:

Improvecoverage prediction accuracyVSAvoidapplicability to channel shutdown scenarios

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent segments the coverage optimization problem into different scenarios: normal operation mode and energy-saving mode with channel shutdown. Each scenario has its own pre-calculated weight value sets that account for the specific gain characteristics of that mode. This segmentation allows the system to maintain accurate coverage prediction in each scenario without requiring a single universal optimization algorithm that would fail to account for mode-specific gain changes.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentEP4727217A1Antenna weight value determination method and apparatus, and storage medium and electronic apparatus

Publication Date: 2026.04.15 ZTE CORP

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AI summary

Provided in the embodiments of the present disclosure are an antenna weight value determination method and apparatus, and a storage medium and an electronic apparatus. The method comprises: according to user terminal data and channel state information, identifying the distribution of user terminals in a cell in different channel states; and on the basis of the distribution of the user terminals, determining an optimal antenna weight value in the different channel states.