Joint Beam Selection and Resource Partitioning in mm-Wave Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In 5G mobile networks, there is a trade-off between allocating transmission resources for UE localization and data communication, leading to suboptimal beam selection and resource partitioning, which affects data rate and signal quality due to overhead and resource scarcity.
Innovation Solution
A method for joint optimization of beam selection and transmission resource partitioning is introduced, using communication and localization performance indicators to determine the optimal allocation of resources between data communication and localization, ensuring efficient beam selection and alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If transmission resources are allocated for UE localization, then localization accuracy is improved, but data communication rate deteriorates
Solution Approach 1:
The patent applies dynamics by making the beamwidth adaptive rather than fixed. The beamwidth is dynamically adjusted based on the UE's location accuracy and the allocated localization resources. When more resources are dedicated to localization, the beamwidth is narrowed to improve beam alignment precision. This dynamic adjustment allows the system to optimize the trade-off between localization accuracy and data communication rate in real-time.
Solution Approach 2:
The patent changes the beamwidth parameter dynamically based on the localization resource allocation. By varying the beamwidth parameter according to the balance between localization and communication needs, the system achieves optimal performance. The beamwidth is reduced when localization resources increase, and expanded when communication resources increase, thereby resolving the contradiction between the two functions.
2Productivity
If transmission resources are allocated for data communication, then data communication rate is improved, but localization accuracy deteriorates
Solution Approach 1:
The system dynamically adjusts beamwidth based on the allocated localization resources. When data communication resources are prioritized, the beamwidth is expanded to maximize communication throughput. Conversely, when localization resources are increased, the beamwidth is narrowed to improve localization precision. This dynamic adaptation resolves the contradiction by allowing flexible resource allocation.
Solution Approach 2:
The beamwidth parameter is changed dynamically according to the resource allocation strategy. By adjusting the beamwidth parameter in response to the balance between localization and communication resource allocation, the system optimizes both functions. The parameter change enables the system to achieve high data rates when communication is prioritized and high localization accuracy when localization is prioritized.
3Measurement precision
If beamwidth is reduced for better beam alignment, then beam alignment precision is improved, but localization resource requirement increases
Solution Approach 1:
The patent changes the beamwidth parameter dynamically based on the desired beam alignment precision and available localization resources. When high beam alignment precision is required, the beamwidth is reduced. The system optimizes this parameter change to achieve the desired precision while minimizing the localization resource requirement, thereby resolving the contradiction between precision and resource consumption.
Data Source
Figure 1~2
Figure 3~4B
Figure 5
AI summary
The present invention concerns a method for jointly optimizing beam selection and partitioning of transmission resources for a downlink between a base station (BS) and a user equipment (UE) in a mm-wave cellular network such as the small cell layer of a 5G network. A UE position estimate is used for accurate BS beam selection and alignment between the BS and UE beams and/or provide position-based services or functionalities. An optimal partitioning factor is obtained either by maximizing a communication performance indicator while meeting a constraint upon a localization performance indicator or by maximizing a localization performance indicator while meeting a constraint upon a communication performance indicator. A communication performance indicator can be an effective rate coverage probability or an effective throughput. The localization performance indicator can be the inverse of the product of a BS beam selection error probability and of a misalignment probability of the BS and the UE beams. The BS uses said optimal partitioning factor for partitioning said transmission resources. It also uses the beam of optimal selected beamwidth containing the UE in its coverage area for data communication.