Automated AP Indoor Outdoor Classification for Spectrum Optimization
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Solution Overview
Problem
Conventional wireless network systems require manual reporting of access point (AP) deployment types, leading to inefficiencies and interference due to incorrect self-reporting, which can result in non-optimal power usage and increased spectrum contention.
Innovation Solution
An automated method using environmental sensor data to classify APs as indoor or outdoor, allowing for dynamic reconfiguration of transmission parameters and interaction with automated frequency coordination systems, thereby improving network efficiency and reducing interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual self-reporting is used for AP deployment type classification, then device complexity is reduced, but reliability deteriorates due to incorrect reporting and human error
Solution Approach 1:
The system enables automatic self-classification of AP deployment types by having APs autonomously collect and report environmental sensor data (temperature, humidity, air quality) without manual configuration. The controller automatically processes this data to determine deployment type, eliminating human error while maintaining simplicity for the end user.
Solution Approach 2:
The system implements a feedback loop where APs continuously monitor environmental conditions, report data to the controller, and receive updated deployment type classifications. This iterative feedback process ensures accurate and reliable classification that adapts to changing environmental conditions.
2Reliability
If automated environmental sensing is implemented, then reliability of deployment classification improves, but device complexity increases due to additional sensors and processing
Solution Approach 1:
The environmental sensors serve multiple functions: they classify deployment types, detect interference conditions, and trigger appropriate AP operations. This multi-functionality justifies the added complexity by providing multiple benefits from a single sensor integration layer.
Solution Approach 2:
The controller acts as an intermediary that handles the complexity of sensor data processing, clustering, and classification. This separates the complexity from the APs themselves, allowing simple AP hardware to achieve reliable classification through centralized intelligent processing.
3Object-generated harmful factors
If incorrect deployment classification occurs, then spectrum utilization improves (less interference), but network performance deteriorates due to suboptimal power settings
Solution Approach 1:
The system dynamically changes operational parameters (transmission power, channel selection) based on accurate deployment type classification. By correctly identifying whether an AP is indoor or outdoor, the system adjusts power settings to optimize both interference reduction and network throughput simultaneously.
Data Source
AI summary
Techniques for automated wireless deployment configuration are provided. Environmental sensor data from a plurality of access points (APs) is received, and the plurality of APs are clustered into a set of clusters based on the environmental sensor data. Cluster classifications are generated by classifying each cluster in the set of clusters as either an indoor cluster or an outdoor cluster based on the environmental sensor data and one or more defined environmental values. A respective label is assigned to each respective AP in the plurality of APs based on the cluster classifications, and one or more of the plurality of APs are reconfigured based on the assigned labels.