Distributed Beamforming With Dynamic Master Node Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies face challenges in efficiently transmitting and receiving large amounts of wireless data between distributed elements using array antennas, particularly in dynamic environments where the positions of the antennas change in real time, such as with drones in modern warfare scenarios.
Innovation Solution
A method and system for distributed beamforming that determines a master node among a plurality of distributed nodes based on location information, signal-to-noise ratio, and transmission efficiency, forming a data transmission and reception channel, and configuring a communication method to enable stable wireless data transmission and reception between the master node and slave nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If distributed beamforming is implemented using multiple moving nodes (drones), then wireless data transmission capability is improved, but system stability deteriorates due to real-time position changes
Solution Approach 1:
The patent implements dynamic master node selection where any distributed node can become the master node based on real-time transmission efficiency metrics. This dynamic adaptation allows the system to maintain stability despite node movement, as the master node identity changes optimally rather than remaining fixed. The system continuously evaluates transmission efficiency and reassigns master node status to maintain optimal performance in dynamic environments.
Solution Approach 2:
The patent changes the parameter of master node selection from static (fixed assignment) to dynamic (based on transmission efficiency). By evaluating transmission efficiency metrics and selecting the optimal node as master, the system adapts to real-time conditions including node position changes, thereby maintaining reliability while preserving the productivity benefits of distributed beamforming.
2Device complexity
If a fixed master node is designated in advance, then device complexity is reduced, but transmission efficiency deteriorates when node positions change
Solution Approach 1:
The patent implements a feedback mechanism where transmission efficiency is continuously evaluated and used to determine master node selection. The system monitors transmission efficiency metrics and feeds this information back into the node configuration process, allowing dynamic optimization of the master node assignment based on current operational conditions rather than relying on predetermined configurations.
3Productivity
If master node is dynamically selected based on transmission efficiency, then transmission efficiency is improved, but device complexity increases
Solution Approach 1:
The patent implements self-service where distributed nodes autonomously evaluate their own transmission efficiency and compete to become the master node. Each node independently calculates its transmission efficiency metrics and can transition to master node status without requiring complex centralized control or manual configuration, thereby achieving dynamic optimization with manageable complexity.
Data Source
AI summary
Proposed is a method for transmitting and receiving data based on distributed beamforming performed by a distributed beamforming-based data transmission and reception system including ground operation equipment and a plurality of distributed nodes. The method may include determining a master node among the plurality of nodes through the ground operation equipment, and forming a data transmission and reception channel based on a signal reception level between the master node and a slave node. The method may also include transmitting and receiving data between the master node and the slave node through the formed data transmission and reception channel.