Access Point Wireless Device Control via Aggregated Cloud Policies
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Solution Overview
Problem
Current wireless access point networks face inefficiencies in connectivity tuning across different types of wireless devices, leading to suboptimal performance and signal strength issues as users move within environments.
Innovation Solution
Access points collect operational data from various client devices and upload it to a cloud service, which generates per-client-device-type policy data based on aggregated information from multiple networks, allowing for optimized connectivity and performance adjustments, such as channel switching and bandwidth allocation, to improve device-specific connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If access points use generic network policies for all devices, then network management is simplified, but device-specific connectivity performance deteriorates
Solution Approach 1:
The patent segments network policies by device type, creating device-type-specific policies instead of using a single generic policy for all devices. The system identifies device types (smartphones, tablets, wearables, IoT devices) and generates tailored policies for each type based on their specific connectivity characteristics and performance requirements, thereby improving connectivity performance without significantly increasing management complexity.
Solution Approach 2:
The system changes policy parameters based on device type characteristics. By analyzing operational data from multiple access points and identifying patterns specific to each device type, the system adjusts connectivity parameters (such as handoff thresholds, channel selection, power settings) to optimize performance for each device category while maintaining simplified centralized management.
2Reliability
If access points collect and process operational data locally for each device, then device-specific optimization is improved, but network infrastructure complexity increases
Solution Approach 1:
The patent merges data collection and policy generation functions into a centralized cloud service that aggregates operational data from multiple access points and device types. Instead of each access point independently analyzing data locally, the system combines data from across the network to generate comprehensive device-type policies, reducing individual access point complexity while improving optimization through aggregated insights.
Solution Approach 2:
The system introduces a cloud-based intermediary service that acts as a mediator between access points and devices. This intermediary collects operational data from multiple access points, processes it to identify device-type patterns, and generates optimized policies that are then distributed back to access points for implementation, thereby reducing local processing complexity while maintaining high optimization levels.
3Reliability
If handover between access points is enabled, then signal strength is improved during user movement, but network switching efficiency deteriorates
Solution Approach 1:
The system performs preliminary analysis of operational data to establish device-type-specific handoff policies before handover events occur. By pre-configuring optimal handoff parameters (thresholds, target selection criteria, timing) based on aggregated data from similar devices, the system enables efficient handovers tailored to each device type's characteristics, improving both signal strength maintenance and switching efficiency.
Solution Approach 2:
The system dynamically changes handover parameters based on device type. Different device types have different mobility patterns, signal requirements, and handoff tolerances. The system adjusts handoff thresholds, timing, and target selection parameters according to device type characteristics identified from operational data, optimizing both signal strength maintenance and network switching efficiency for each device category.
Data Source
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AI summary
This document describes methods, devices, systems, and means for controlling wireless devices using aggregated data from cross-network access points. An access point (AP) provides operational information from a plurality of different types of client devices communicating with the AP to a cloud service and obtains per-client-device-type policy data from the cloud service that is based on aggregated operational information from a plurality of different types of client devices from different AP networks. The AP controls, using a wireless transceiver, a wireless client device that is of a first type, using the per-client-device-type policy data for the first type based on aggregated operational information from a plurality of different types of client devices from different AP networks.