VLC Power Allocation via Segmented Service Areas
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Visible light communication systems face challenges in efficiently allocating power among multiple light sources to support multiple receivers, particularly in larger spaces where centralized approaches become computationally burdensome, leading to increased multiple-access interference.
Innovation Solution
The implementation of a visible light communication system using multiple input multiple output (MIMO) technology with centralized or decentralized power allocation algorithms, employing optical code division multiple-access (OCDMA) and time-space minimum mean squared error filters to manage power distribution among multiple light sources and photodetectors, allowing for efficient data communication while minimizing interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a centralized power allocation approach is used, then power allocation accuracy is improved, but computational burden increases significantly in larger spaces with multiple lamps
Solution Approach 1:
The system divides the VLC network into multiple service areas, each served by a specific lamp. Each lamp independently performs power allocation for its own service area rather than a central controller managing all lamps collectively. This segmentation reduces computational complexity while maintaining allocation accuracy within each local area.
Solution Approach 2:
Each lamp performs localized power allocation optimization for its specific service area and receiver conditions, rather than applying a uniform centralized approach. This allows each lamp to adapt to local channel conditions and receiver requirements, achieving good allocation accuracy without the computational burden of global optimization.
2Productivity
If multiple light sources service common receivers simultaneously, then system capacity and coverage are improved, but multiple-access interference increases
Solution Approach 1:
The system dynamically adjusts transmit power parameters for each light source based on receiver conditions and interference levels. By optimizing power allocation parameters, the system enables multiple light sources to service common receivers simultaneously while minimizing multiple-access interference through precise power control.
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
This approach enables efficient power allocation across multiple light sources and receivers, reducing computational burden and multiple-access interference, thereby enhancing data communication rates and reliability in both small and large spaces.
Implementation Method 1
The plurality of light sources are configured to emit optical signals to communicate data
Implementation Method 2
The plurality of photodetectors are configured to sense the optical signals and provide the sensed data to a circuit to recover the communicated data
Data Source
AI summary
A system and method for providing optical multiple input and multiple output data communication using optical signals includes a plurality of light sources, a plurality of photodetectors, and at least one controller. The plurality of light sources are configured to emit optical signals to communicate data. The plurality of photodetectors are configured to sense the optical signals, and are embedded in at least one receiver. At least one of the plurality of photodetectors is configured to receive the optical signals from two or more of the plurality of light sources. The controller is configured to assign a transmit power to at least some of the plurality of light sources based on parameters of the plurality of photodetectors.