Narrow Beam Mesh Network Adjustment for Signal Interference
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Solution Overview
Problem
Current wireless communication systems fail to adequately address signal inhibition, channel interference, and dynamic network adjustments in real-world environments, requiring complex analysis and incurring significant time and cost.
Innovation Solution
The development of narrow beam mesh network systems that utilize topography data and line of sight analysis to dynamically adjust access point positions and communication signals, accounting for signal inhibitors and customer premises devices, to enhance network performance and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If broad-range signals are used for wireless communication, then coverage area is improved, but channel interference and signal inhibition increase
Solution Approach 1:
The patent applies local quality by transitioning from broad-range signals to narrow beam signals that concentrate communication energy in specific directional paths. Each access point transmits signals along predetermined narrow beams tailored to specific customer premises devices, providing localized high-quality communication paths rather than uniform omnidirectional coverage. This resolves the contradiction by maintaining adequate coverage through multiple targeted beams while eliminating the harmful interference caused by broad-range signals affecting all directions equally.
Solution Approach 2:
The patent segments the wireless communication space into multiple narrow beam paths, each dedicated to specific access point-device pairs. Instead of using a single broad-range signal that covers all areas, the system divides coverage into discrete directional segments (narrow beams) that can be independently optimized. This segmentation allows each beam to be precisely targeted at its intended recipient, improving coverage efficiency while minimizing interference with other communication paths.
2Ease of manufacture
If current network design methods are used, then implementation is simple, but they fail to account for signal inhibitors and require extensive human action resulting in extensive time and cost requirements
Solution Approach 1:
The patent applies preliminary action by pre-determining optimal narrow beam paths and access point locations before actual network deployment. The system performs advance analysis of geographic areas, identifying lines of sight, signal inhibitors, and optimal positioning for access points and customer premises devices. This preliminary planning phase creates a detailed blueprint that guides subsequent automated deployment, eliminating the need for time-consuming manual analysis and adjustments during implementation while ensuring optimal performance from the start.
Solution Approach 2:
The patent replaces manual human analysis and adjustment mechanisms with automated computer-based systems. Instead of relying on human experts to manually analyze topography data, identify signal inhibitors, and optimize network configuration, the system uses automated algorithms to perform these tasks. This substitution of mechanical human labor with automated computing processes dramatically reduces implementation time and costs while maintaining or improving the quality of network design.
3Ease of operation
If current networking systems are used, then deployment is straightforward, but they fail to dynamically adjust as needed and do not account for real-world application-based problems
Solution Approach 1:
The patent applies dynamics by implementing systems that can adapt and adjust to changing conditions in real-world environments. The narrow beam mesh network is designed to dynamically respond to signal inhibitors, changing environmental conditions, and varying communication demands. The system can recalculate optimal beam paths, adjust access point positions, and modify communication parameters based on actual performance data and environmental feedback, transforming a static deployment into a dynamic, self-optimizing network that adapts to real-world application-based problems.
Solution Approach 2:
The patent implements feedback mechanisms that allow the network to monitor its own performance and automatically adjust operations accordingly. By continuously measuring signal quality, detecting interference patterns, and analyzing communication effectiveness, the system generates feedback loops that drive real-time optimizations. This feedback capability enables the network to account for real-world conditions and application-based problems by learning from actual performance data and making continuous improvements without requiring manual intervention.
Data Source
AI summary
Methods, apparatuses, and systems relating to narrow beam communications and wireless networking are disclosed. Exemplary methods for wireless networking and communications may include identifying a geographic area, receiving location data relating to the geographic area, receiving network performance data, analyzing the location data and the network performance data, identifying a first access point in the geographic area based at least in part on the analyzing, and adjusting a narrow beam communication device a predetermined amount relating to the first access point based at least in part on the analyzing.