Smart Probe Feedback Control for Small Cell SLA Stability
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Solution Overview
Problem
Next generation wireless networks face challenges with limited broadcasting range, vulnerability to signal interference, and signal blockages due to mobile transmitters, which affect service level agreements (SLAs) in environments like offices and enterprises.
Innovation Solution
Deploying smart probes that perform wide-spectrum analysis and dynamically adjust small cell parameters such as power output and beam tilt to maintain SLA requirements by detecting signal strength and network performance anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If mmWave spectrum is used to provide higher data rates, then speed is improved, but coverage range deteriorates due to limited penetration through objects
Solution Approach 1:
The patent divides the wireless network into multiple small cell transmitters distributed throughout the environment. Each small cell covers a localized area with high-speed mmWave connectivity, while probe devices monitor signal conditions across different locations. This segmentation allows the system to provide high data rates in each small cell zone without requiring a single transmitter to cover the entire area, thus resolving the contradiction between speed and coverage range.
2Length of stationary object
If mobile transmitters are deployed to extend coverage, then coverage range is improved, but vulnerability to signal interference and blockages increases
Solution Approach 1:
The patent implements a feedback mechanism where probe devices continuously monitor wireless signal conditions including signal strength, interference levels, and blockages. This monitoring data is fed back to the system to dynamically adjust transmitter parameters such as power output and beam tilt. This feedback loop enables the system to maintain reliable connections by compensating for interference and blockages in real-time, thus resolving the contradiction between extended coverage and signal stability.
Solution Approach 2:
The patent employs dynamic adjustment of transmitter parameters including power output and beam tilt based on real-time signal conditions. Rather than using fixed settings, the system continuously adapts its transmission characteristics to maintain optimal performance. This dynamic behavior allows the network to respond to changing environmental conditions such as moving objects or interference sources, thereby maintaining reliability while providing extended coverage.
3Reliability
If manual monitoring and adjustment of network parameters is performed, then service level agreement compliance is improved, but productivity deteriorates due to labor-intensive operations
Solution Approach 1:
The patent implements a self-service system where probe devices automatically monitor network conditions and the system autonomously adjusts transmitter parameters based on detected anomalies. The intelligent system identifies signal deviations, determines appropriate parameter adjustments, and implements corrections without human intervention. This automation maintains SLA compliance through continuous monitoring and adaptive adjustment while eliminating the need for manual network optimization, thus resolving the contradiction between reliability and productivity.
Data Source
AI summary
Methods and apparatuses for improving network performance including tracking wireless signal data associated with one or more wireless networks and dynamically adjusting network parameters of the one or more wireless networks to meet service level agreement requirements based on the wireless signal data are described. Smart probes may be positioned within an environment and configured to acquire the wireless signal data and transmit the wireless signal data to a wireless network controller. The wireless network controller may acquire the wireless signal data from the smart probes, acquire network performance data from one or more computing devices using the one or more wireless networks, detect a deviation in network performance based on the wireless signal data and the network performance data, and cause one or more network parameters of the one or more wireless networks to be adjusted in response to detection of the deviation in network performance.