Antenna Selection for Beam Measurement in 5G Terminals
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Solution Overview
Problem
In millimeter wave environments, maintaining stable beam pairing between base stations and terminals while minimizing frequency and time resource usage is challenging, leading to increased power consumption and beam failure during beam tracking in 5G mobile communication systems.
Innovation Solution
A method and apparatus for selecting an antenna for beam measurement that involves transmitting a report to the base station for resource allocation, performing beam tracking based on changed beam directions, and optimizing beam pairing by adjusting antenna selection according to rotation and speed, thereby reducing resource occupancy and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beam tracking is performed frequently to maintain stable beam pairing, then beam pairing stability is improved, but frequency resource and time resource usage increase
Solution Approach 1:
The patent changes the parameter of beam measurement frequency based on terminal mobility state. For high-speed terminals, beam measurement is performed more frequently with shorter periods, while for low-speed terminals, it is performed less frequently with longer periods. This dynamic parameter adjustment maintains beam pairing stability for moving terminals while reducing resource consumption for stationary terminals.
Solution Approach 2:
The patent introduces dynamic adaptation by adjusting beam measurement configurations according to terminal mobility. The system transitions from static beam measurement intervals to dynamic intervals that adapt to terminal movement speed, allowing the system to optimize between beam pairing stability and resource efficiency based on real-time conditions.
2Reliability
If beam tracking is performed frequently to prevent beam failure, then beam pairing reliability is improved, but power consumption increases
Solution Approach 1:
The patent adjusts the beam measurement period parameter based on terminal mobility state. For high-speed terminals experiencing beam failure risk, the measurement period is shortened to maintain reliability. For low-speed terminals, the period is extended to reduce power consumption, achieving an optimal balance between reliability and energy efficiency.
Solution Approach 2:
The system dynamically adapts beam measurement frequency to terminal mobility conditions, transitioning from fixed periodic measurements to variable periodic measurements that respond to terminal speed changes, thereby optimizing power consumption while maintaining necessary beam pairing reliability.
3Productivity
If beam measurement period is extended to reduce resource usage, then resource efficiency is improved, but beam tracking accuracy deteriorates
Solution Approach 1:
The patent implements conditional parameter changes where the beam measurement period is adjusted based on terminal mobility. For high-speed terminals, a shorter measurement period is used to maintain tracking accuracy despite reduced resource efficiency. For low-speed terminals, a longer period is used to achieve both good accuracy and high resource efficiency.
Solution Approach 2:
The system dynamically adjusts beam measurement intervals based on terminal movement characteristics, creating a mobility-aware beam tracking mechanism that optimizes the trade-off between tracking accuracy and resource efficiency according to real-time terminal conditions.
4Reliability
If antenna selection is optimized for high-speed terminals, then beam pairing stability is improved, but device complexity increases
Solution Approach 1:
The patent enables terminals to autonomously determine their own mobility state and self-select appropriate beam measurement configurations without complex base station control signaling. The terminal itself performs the adaptation by monitoring its movement and adjusting beam measurement parameters accordingly, reducing overall system complexity while maintaining beam pairing stability for high-speed terminals.
Data Source
AI summary
Disclosed herein is a method and apparatus for selecting an antenna for beam measurement in which a terminal and a base station can communicate with each other in a 5th generation (5G) communication environment by executing an embedded artificial intelligence (AI) algorithm and/or a machine learning algorithm to perform signal processing. The method for selecting an antenna according to an embodiment of the present disclosure can include transmitting, to a base station, a report indicating that an antenna selection function for beam measurement is provided, receiving resource allocation information for beam measurement corresponding to the report from the base station, and performing, in response to a change in a beam direction caused by rotation of a terminal, beam tracking, based on commencement of a beam measurement period included in the resource allocation information for beam measurement.