Automatic Signal Deployer for Adaptive Indoor Millimeter-Wave Coverage
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Solution Overview
Problem
The deployment of millimeter-wave communication systems in indoor environments is challenging due to the need for multiple signal path redistributors, which can be aesthetically impairing and costly, and the difficulty in maintaining continuous signal coverage as users move or enter different rooms.
Innovation Solution
An automatic signal deployer system using a self-propelled carrier with a signal path redistributor, multidirectional adjusting device, and controller, which adjusts transmission direction based on signal quality data through a multi-agent reinforcement learning algorithm to optimize signal path allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple signal path redistributors are deployed to cover indoor areas with partitions and barriers, then signal coverage and throughput are improved, but deployment cost and device quantity increase significantly
Solution Approach 1:
The patent employs a mobile robot carrier that can dynamically move to different positions within the indoor environment, replacing the need for multiple fixed redistributors. The robot adjusts its position based on real-time signal quality feedback from user devices, providing adaptive coverage throughout the space with a single deployable unit.
Solution Approach 2:
The system implements autonomous self-deployment through a closed-loop control mechanism where the mobile robot receives signal quality data from user devices, automatically determines optimal positioning, and adjusts its location without human intervention. This self-service capability eliminates the need for manual deployment of multiple redistributors while maintaining comprehensive coverage.
2Reliability
If signal path redistributors are installed in various positions to cover different rooms, then signal transmission reliability is improved, but aesthetic appearance and interior space are impaired
Solution Approach 1:
The mobile robot carrier provides dynamic signal redistribution from a single movable platform rather than requiring multiple static devices mounted in visible locations. The robot can operate from positions that minimize visual impact while maintaining signal transmission reliability through continuous movement and adaptive positioning based on real-time feedback.
3Reliability
If more signal path redistributors are deployed to cover areas with barriers, then signal coverage is improved, but deployment complexity and manpower requirements increase
Solution Approach 1:
The system performs autonomous self-deployment by receiving signal quality data from user devices, automatically analyzing the data to determine optimal positioning, and navigating to appropriate locations without human intervention. This eliminates the need for complex manual deployment planning and reduces manpower requirements while achieving comprehensive coverage in environments with barriers.
Solution Approach 2:
The deployment process is driven by real-time feedback from user devices that transmit signal quality data to the mobile robot. This feedback mechanism enables the system to automatically adapt its positioning strategy based on actual signal conditions, simplifying the deployment process by replacing complex manual planning with intelligent, data-driven autonomous navigation.
4Adaptability or versatility
If signal path redistributors are fixed in position, then device complexity is reduced, but adaptability to user movement and changing positions is lost
Solution Approach 1:
The mobile robot carrier provides inherent adaptability through its ability to move and reposition dynamically in response to user movement and changing signal conditions. The system continuously receives feedback from user devices and automatically adjusts its position to maintain optimal signal transmission, providing versatility without requiring complex fixed infrastructure.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables low-cost, efficient, and precise signal deployment that adapts to user movement, reducing the need for multiple redistributors and minimizing deployment time and manpower, while maintaining high throughput and coverage.
Implementation Method 1
signal path redistributors can reflect/refract/relay high-frequency signals, such as millimeter waves
Implementation Method 2
signal path redistributors can reflect/refract/relay high-frequency signals, such as millimeter waves
Data Source
AI summary
The present invention discloses an automatic signal deployer, a signal deployment system, an automatic signal path deployment method, and a behavior control signal generation method of a deployment agent. The signal deployment system includes an automatic signal deployer, a deployment agent and a base station. The deployment agent receives signal quality data, generates a behavior control signal according to the signal quality data, and sends out the behavior control signal to the automatic signal deployer. The automatic signal deployer receives the behavior control signal and a source signal coming from the base station, performs deployment according to the behavior control signal, whereby the automatic signal deployer can transmit the source signal toward a signal path allocation direction and complete automatic deployment of signal paths.