Beamforming Power Allocation via Closed-Form Ratio
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Solution Overview
Problem
Existing beamforming methods require complex calculations and consume significant system resources, making them inefficient and resource-intensive.
Innovation Solution
A beamforming method that sends measurement signals for each candidate beam, obtains receiving power and phase information, selects target beams based on receiving power from highest to lowest, and allocates power using a simple power allocation strategy based on the number of candidate beams, without complex algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing beamforming methods are used to achieve beamforming, then beamforming performance is improved, but calculation complexity increases and system resources are consumed
Solution Approach 1:
The patent replaces complex iterative algorithms with simple closed-form solutions for power allocation. The power allocation ratio is determined directly using a simple formula based on channel state information, avoiding the need for complex water-filling algorithms or iterative optimization, thus reducing calculation complexity while maintaining beamforming performance
Solution Approach 2:
The patent changes the approach from optimizing multiple parameters iteratively to using a direct parameter calculation method. The power allocation ratio is calculated using a closed-form expression that depends on channel state information and a predefined parameter, eliminating the need for complex iterative optimization while achieving the same beamforming objective
2Reliability
If existing beamforming methods are used to achieve beamforming, then beamforming performance is improved, but system resource consumption increases
Solution Approach 1:
The patent employs computationally inexpensive closed-form solutions instead of resource-intensive iterative algorithms. The power allocation is determined through simple mathematical expressions that require minimal computational resources, thereby reducing system resource consumption while preserving beamforming effectiveness
Solution Approach 2:
The patent extracts only the essential information needed for power allocation (channel state information and beam indices) and uses a simplified calculation approach. By removing unnecessary complex optimization steps and focusing only on the critical parameters, the system reduces computational resource consumption while maintaining the core beamforming functionality
3Power
If complex algorithms are used to determine power allocation, then power optimization is improved, but calculation complexity increases
Solution Approach 1:
The patent replaces expensive complex power allocation algorithms with cheap closed-form solutions. The power allocation ratio is computed directly using a simple mathematical formula that involves basic operations on channel state information, eliminating the need for complex water-filling algorithms or iterative optimization while achieving effective power distribution
Solution Approach 2:
The patent uses a simplified model or approximation that copies the essential behavior of complex power allocation algorithms without requiring their full computational machinery. By using a closed-form expression that mimics the optimal power allocation outcome, the system achieves power optimization with minimal calculation complexity
Data Source
AI summary
The present application relates to a beamforming method, a beamforming device and a computer-readable storage medium, the beamforming method comprises: the measurement signal is sent one by one for each candidate beam, and the candidate beam is different from each other; obtain the receiving power and phase information of the measurement signals corresponding to each candidate beam received by the receiving end; according to the order of the receiving power from high to low and the power allocation strategy, at least two of the candidate beams are chosen as the target beam; and determine the transmitted beam based on the target beam and the beamforming strategy.