Dynamic NR Antenna Switching for Balanced 5G Terminal Efficiency
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Solution Overview
Problem
5G terminals face issues with unbalanced antenna efficiency and poor flexibility due to fixed positions and attributes of NR antennas, leading to suboptimal communication quality and resource allocation in various applications and networking modes.
Innovation Solution
An antenna control method that dynamically adjusts antenna efficiency by acquiring application environment, network combination, and antenna state information to determine and implement an antenna control scheme, allowing for flexible switching and configuration of antennas to optimize performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of NR antennas is increased, then the antenna coverage and capacity are improved, but the efficiency allocation of each antenna deteriorates
Solution Approach 1:
The patent implements dynamic antenna selection and configuration based on real-time application scenarios and network conditions. The system dynamically adjusts which antennas are activated and their functional attributes (main antenna, auxiliary antenna, MIMO antenna, diversity antenna) according to the current communication needs, rather than using all antennas in fixed configurations. This dynamic approach ensures optimal efficiency allocation regardless of the total number of antennas available.
Solution Approach 2:
The system changes the operational parameters of antennas based on different application scenarios. By adjusting parameters such as antenna function attribution, activation state, and configuration modes, the system optimizes the efficiency of each antenna in different contexts (e.g., call scenarios, data transmission scenarios, weak signal scenarios), thereby resolving the efficiency degradation issue when multiple antennas are deployed.
2Device complexity
If fixed positions and functional attributes are assigned to NR antennas, then the device structure is simplified, but the flexibility in different applications and networking manners deteriorates
Solution Approach 1:
The patent introduces dynamic configurability to the antenna system. While the physical positions of antennas remain fixed, their functional attributes and assignments are dynamically adjustable. The system can switch between different configuration modes (single antenna mode, MIMO mode, diversity mode, etc.) and reassign antenna functions based on real-time requirements, achieving high flexibility without increasing physical structural complexity.
Solution Approach 2:
The patent makes each antenna capable of serving multiple functions across different scenarios. An antenna can be configured as a main antenna, auxiliary antenna, MIMO antenna, or diversity antenna depending on the application scenario. This multi-functionality allows the same physical antenna structure to adapt to various networking manners and application requirements, resolving the contradiction between structural simplicity and operational flexibility.
3Productivity
If dynamic antenna control is implemented, then the antenna efficiency balancing and communication quality are improved, but the control system complexity increases
Solution Approach 1:
The patent implements a feedback-based antenna control system that monitors communication quality metrics, signal strength, and antenna performance in real-time. Based on this feedback, the system automatically adjusts antenna configurations and selections to maintain optimal efficiency balancing. The feedback mechanism enables the control system to make informed decisions without requiring complex manual intervention, managing complexity through automated closed-loop control.
Solution Approach 2:
The antenna control system operates autonomously by self-evaluating the current communication state and automatically selecting optimal antenna configurations. The system performs self-configuration based on pre-defined criteria and real-time conditions, reducing the need for external control complexity while achieving efficient antenna management and balancing.
Data Source
AI summary
Disclosed are an antenna control method, an electronic device, and a storage medium. The antenna control method includes that application environment information, network combination parameter information of a connection base station, and antenna state information corresponding to at least one antenna are acquired, that an antenna control scheme is determined according to the antenna state information, the network combination parameter information, and the application environment information, and that the at least one antenna is controlled according to the antenna control scheme.


