Access Point Self-Healing for Wireless Network Reliability
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Solution Overview
Problem
Current wireless network technologies lack efficient mechanisms for automatically monitoring, diagnosing, and recovering from device failures within the service provider network, leading to frustrating user experiences and costly manual interventions for both individual users and enterprises.
Innovation Solution
The implementation of a system that includes a radio frequency modem with logic to monitor network entities, evaluate upstream connectivity status, and initiate self-healing processes, such as stopping SSID transmission and rebooting devices, to automatically diagnose and correct connectivity issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring and diagnosis methods are used, then device complexity is reduced, but network reliability deteriorates due to slower detection and recovery times
Solution Approach 1:
The access point autonomously monitors its own connectivity status by transmitting test signals to network entities and evaluating responses. When connectivity issues are detected, the system automatically initiates recovery processes without requiring manual intervention, thereby improving network reliability while keeping the monitoring mechanism integrated within existing device architecture
Solution Approach 2:
The system continuously transmits test signals and evaluates connectivity status in advance to detect potential issues before they affect user service. This proactive monitoring enables early detection and automatic initiation of recovery processes, reducing downtime and improving overall network reliability
2Reliability
If automatic self-healing processes are implemented, then network reliability is improved, but device complexity increases due to additional monitoring and diagnostic logic
Solution Approach 1:
The access point utilizes its existing radio frequency modem and baseband processor to perform multiple functions: transmitting test signals, receiving responses from network entities, evaluating connectivity status, and initiating recovery processes. By leveraging the multi-functionality of existing components, the system achieves automatic self-healing without proportionally increasing device complexity
Solution Approach 2:
The system implements a feedback loop where the access point continuously receives responses from network entities, evaluates connectivity status based on these responses, and adjusts its operation accordingly. This feedback mechanism enables automatic detection and recovery of connectivity issues while maintaining a relatively simple monitoring architecture through intelligent use of existing processing capabilities
3Measurement precision
If continuous monitoring of network entities is performed, then measurement precision of connectivity status is improved, but loss of time increases due to ongoing diagnostic operations
Solution Approach 1:
The access point transmits test signals at periodic intervals rather than continuously, evaluating connectivity status at discrete time points. This periodic monitoring approach maintains sufficient measurement precision to detect connectivity issues while minimizing the time consumed by diagnostic operations and reducing overall system overhead
Data Source
AI summary
Apparatus and methods for monitoring a wireless local area network (WLAN) to identify inoperative or degraded devices and restore network connectivity to end users. In one embodiment, the network includes one or more access points (APs) in data communication with a cable modem, which in turn communicates with managed network entities via a backhaul connection. Each AP is configured to provide connectivity to client devices, as well as monitor the operation of other network components including the cable modem, via logic indigenous to the AP, and invoke corrective action when failures or degraded performance is detected. In one variant, the logic operative to run on the AP includes both diagnostic and self-healing functionality, so as to enable at least partial automated diagnosis, localization, and recovery from faults, thereby obviating costly troubleshooting by the network operator or service personnel.