WLAN Spatial Diagnostics Using MIMO CSI Correlation
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Solution Overview
Problem
Current wireless local area networks (WLAN) face challenges in efficiently managing and diagnosing issues related to spatial changes, human activity, and structural impediments within residential and business environments, which affect network performance and the integration of IoT devices.
Innovation Solution
A method and apparatus for spatial diagnostics in WLANs using a sounding aggregator and spatial correlator to aggregate and analyze MIMO CSI, identifying changes in node locations, human activity, and structural impediments, thereby providing spatial data that can be used to improve network performance without the need for additional sensors or devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If MIMO channel state information is aggregated and correlated with spatial characteristics, then spatial diagnostic capability is improved, but device complexity increases
Solution Approach 1:
The sounding aggregator and spatial correlator are configured to perform multiple functions: aggregating MIMO CSI from multiple WLAN nodes, correlating CSI with spatial characteristics, detecting node location changes, human activity, and structural impediments. This multi-functionality allows the system to derive various spatial diagnostics from the same processed data without requiring separate dedicated systems for each diagnostic function.
Solution Approach 2:
The WLAN nodes themselves generate and provide the MIMO channel state information during normal wireless communications. The system leverages the existing communication signals and their inherent spatial characteristics rather than requiring separate diagnostic equipment or additional active sensors, allowing the network to self-diagnose its spatial conditions.
2Measurement precision
If additional sensors or devices are deployed for spatial monitoring, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The system utilizes the existing WLAN communication infrastructure and signals to extract spatial information. The MIMO channel state information naturally contains spatial characteristics that are captured during regular wireless communications, eliminating the need for separate sensing hardware or additional devices dedicated to spatial monitoring.
Solution Approach 2:
The same WLAN nodes that perform wireless communication also provide spatial diagnostic data through their MIMO channel state information. This dual use of communication infrastructure for both data transmission and spatial diagnostics avoids the need for dedicated sensing devices while maintaining comprehensive monitoring capability.
Data Source
Figure 1A~1B
Figure 2A~2D
Figure 3A~3C
AI summary
A diagnostic system for spatial diagnosis of the WLAN includes: a sounding aggregator and a spatial correlator. The sounding aggregator is configured to aggregate multiple-input multiple-output (MIMO) channel state information (CSI) from channel soundings of the WLAN, including channel soundings between a wireless access point (WAP) node and associated station nodes on a selected one of a plurality of communication channels of the WLAN;. The spatial correlator is coupled to the sounding aggregator and configured to correlate CSI from the channel soundings with spatial characteristics of the WLAN including at least one of: a change in location of a WLAN node, human activity among the WLAN nodes, and structural impediments among WLAN nodes.