Beam-Specific Power Management for Non-Terrestrial Network Mobility
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Solution Overview
Problem
Existing beam management systems in non-terrestrial networks face challenges in efficiently managing beam-specific configurations and power allocation due to power constraints at non-terrestrial nodes, leading to suboptimal network performance and mobility issues for user equipment.
Innovation Solution
Implementing beam-specific configuration mechanisms, such as discontinuous transmission (DTX) and discontinuous reception (DRX), along with beam-hopping frameworks, to optimize power allocation and improve network performance by allowing time division multiplexing among beams, and enabling user equipment to autonomously or network-controlled beam switching based on measurement reports and conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If beam-specific configurations are implemented to optimize power allocation, then power efficiency is improved, but device complexity increases
Solution Approach 1:
The patent segments the beam management process by introducing beam-specific configurations that are independently applicable to different beams. Each beam can have its own DTX/DRX parameters, allowing the system to optimize power allocation on a per-beam basis rather than using a unified configuration for all beams, thus resolving the contradiction between power efficiency and device complexity.
Solution Approach 2:
The patent implements dynamic beam switching mechanisms where the network can control UE to switch between beams based on mobility conditions and measurement reports. This dynamic approach allows the system to adapt power allocation and beam configurations in real-time, improving power efficiency while managing complexity through automated control rather than static complex configurations.
2Productivity
If beam-hopping frameworks are used to allow time division multiplexing among beams, then network performance is improved, but device complexity increases
Solution Approach 1:
The patent employs periodic beam-hopping patterns where beams are activated in a time-division multiplexed manner according to predefined periodicities. This periodic structure simplifies the implementation complexity by providing regular, predictable beam switching patterns rather than requiring complex real-time decision-making, while still achieving improved network performance through efficient resource utilization.
Solution Approach 2:
The patent pre-configures beam-hopping patterns and beam-specific parameters before actual beam switching occurs. By establishing these configurations in advance, the system reduces the complexity of real-time beam management while maintaining high network performance, as the preliminary configurations guide subsequent beam operations without requiring complex runtime computations.
3Reliability
If autonomous beam switching is enabled for user equipment, then mobility handling is improved, but device complexity increases
Solution Approach 1:
The patent enables autonomous beam switching at the UE by allowing the device to independently evaluate measurement reports and switch beams based on predefined conditions and criteria provided by the network. This self-service approach improves mobility handling by enabling rapid, automated beam switching without constant network intervention, while managing device complexity through standardized decision-making algorithms and pre-configured parameters.
4Reliability
If network-controlled beam switching is implemented, then connectivity reliability is improved, but device complexity increases
Solution Approach 1:
The patent implements network-controlled beam switching by establishing feedback loops where the network receives measurement reports from UEs and sends beam switching commands based on network decisions. This feedback mechanism improves connectivity reliability by allowing the network to make informed beam switching decisions based on real-time channel conditions, while managing device complexity by offloading the complex decision-making logic to the network side rather than requiring sophisticated algorithms at the UE.
Data Source
AI summary
The present application relates to devices and components including apparatus, systems, and methods for mobility enhancement and beam management for non-terrestrial networks.