Dynamic Beamforming Resolution Selection for Radio Channels
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing radio communication systems face challenges in dynamically adjusting the beamforming resolution to match the channel state, hardware load, and Quality of Service (QoS) requirements, leading to inefficient use of resources and potential performance degradation due to fixed frequency domain resolution.
Innovation Solution
A method that dynamically selects the frequency domain resolution for beamforming weights based on channel state, hardware load, and QoS, allowing for adaptive adjustment of beamforming resolution to optimize bit error rate (BER) and computational complexity, thereby ensuring appropriate Quality of Service treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed frequency domain resolution is used for beamforming, then the system is simple to implement, but the system cannot adapt to different channel conditions and hardware loads, leading to inefficient resource use
Solution Approach 1:
The patent implements dynamic selection of frequency domain resolution for beamforming weights, allowing the system to adapt between different resolution levels (e.g., 1st, 2nd, 3rd, 4th resolutions) based on current channel conditions and hardware load. This transforms the static beamforming resolution into a dynamic parameter that can be adjusted in real-time, resolving the contradiction between adaptability and complexity by providing a structured framework for resolution selection.
Solution Approach 2:
The patent changes the parameter of frequency domain resolution from a fixed value to a selectable variable with multiple discrete levels. By defining different resolution levels (1st resolution with highest precision, 4th resolution with lowest precision) and selecting among them based on conditions, the system achieves adaptability without requiring completely new complex architectures, thus balancing adaptability improvement with controlled complexity increase.
2Reliability
If a high frequency domain resolution is selected for beamforming computation, then the bit error rate performance is improved, but the computational complexity and hardware requirements increase
Solution Approach 1:
The patent enables dynamic adjustment of beamforming computation resolution based on computational resource availability and performance requirements. When high reliability is needed, the system selects higher resolution levels (1st or 2nd resolution); when computational resources are constrained, it selects lower resolution levels (3rd or 4th resolution). This dynamic approach resolves the contradiction by allowing the system to optimize between BER performance and computational complexity in real-time.
Solution Approach 2:
The patent defines multiple discrete resolution levels for beamforming weight computation, each with different computational requirements and performance characteristics. By changing the resolution parameter from a single fixed value to a selectable set of levels, the system can trade off between computational complexity and BER performance based on current operational conditions, effectively resolving the contradiction through parameter variation.
3Productivity
If a low frequency domain resolution is used for beamforming, then the computational complexity is reduced, but the bit error rate performance and quality of service deteriorate
Solution Approach 1:
The patent implements dynamic resolution selection that allows the system to switch between low-complexity modes (higher resolution levels for faster computation) and high-reliability modes (lower resolution levels for better BER performance) based on real-time conditions. This resolves the contradiction by making computational efficiency and reliability both achievable at different times depending on system state, rather than forcing a permanent trade-off.
Solution Approach 2:
The patent introduces multiple resolution parameters that can be adjusted to balance computational efficiency and BER performance. By varying the frequency domain resolution parameter, the system can optimize for productivity when conditions allow, or switch to prioritize reliability when needed, thus resolving the contradiction through flexible parameter adjustment rather than fixed compromise.
4Productivity
If the beamforming resolution is adjusted to match channel state, then the resource efficiency is improved, but the system complexity and control overhead increase
Solution Approach 1:
The patent implements dynamic beamforming resolution adjustment based on channel state feedback and quality of service requirements. The system monitors channel conditions and automatically selects appropriate resolution levels, reducing the need for manual configuration and complex external control mechanisms. This dynamic self-adjustment improves resource efficiency while limiting control overhead to essential monitoring and selection logic.
Solution Approach 2:
The patent enables the beamforming system to automatically adjust its own resolution parameter based on observed channel conditions and performance requirements. Rather than requiring external controllers to manage resolution settings, the system performs self-adjustment by monitoring channel state and selecting appropriate resolution levels, thus improving resource efficiency while minimizing additional control overhead.
Data Source
AI summary
A technique for performing at least one of a beamformed transmission and a beamformed reception on a radio channel is described. As to a method aspect of the technique a channel estimation of the radio channel is performed, a result of the channel estimation being indicative of a channel state (1302) of the radio channel. A list of candidates (1310) is determined for a frequency domain resolution (1000) of beamforming weights, each of the candidates (1310) being associated with a loss (1312) in terms of a bit error rate, BER, depending on the channel state (1302) of the radio channel. At least one of the beamformed transmission and the beamformed reception are performed using the beamforming weights computed (1340) based on the channel state (1302) of the radio channel, wherein the frequency domain resolution (1000) for the computation (1340) of the beamforming weights is selected (1330) from the list of candidates depending on the associated loss (1312) in terms of the BER.