Multi-RAT Node Mesh Network Selection and Antenna Alignment
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Solution Overview
Problem
The initial configuration and setup of multi-radio access nodes in wireless networks are time-consuming and expensive due to the need for pre-configuration and alignment of directional antennas, which limits flexibility and optimal coverage, especially when multiple networks are available and network conditions change.
Innovation Solution
Implementing methods for multi-RAT nodes to intelligently select mesh networks based on specific criteria such as SSID, RSSI, network load, and authentication status, and using self-organizing network techniques with phased array antennas for automated alignment and optimization, allowing for real-time adjustments and reduced reliance on preprogramming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If pre-configuration methods are used for multi-radio access nodes, then network setup can be standardized, but installation time and cost increase
Solution Approach 1:
The patent implements self-organizing network (SON) capabilities that enable access nodes to automatically configure themselves upon deployment. The node autonomously discovers available networks, selects optimal parameters, and configures its antennas without human intervention, thereby eliminating the time-consuming manual pre-configuration process while maintaining standardization through automated procedures
Solution Approach 2:
The patent enables dynamic network configuration where access nodes can adapt their parameters in real-time based on network conditions. The node continuously monitors signal strength, network load, and interference levels, then dynamically adjusts its operating parameters and antenna orientations to optimize performance, replacing static pre-configuration with adaptive self-configuration
2Area of stationary object
If directional antennas are used to extend coverage range, then coverage area increases, but alignment complexity and installation cost increase
Solution Approach 1:
The patent implements automated antenna alignment systems where the access node autonomously determines optimal antenna orientations. The node uses signal strength measurements from connected networks to calculate and adjust antenna azimuth and elevation angles automatically, eliminating the need for manual alignment by technicians and reducing installation complexity while maintaining extended coverage benefits
Solution Approach 2:
The patent employs feedback mechanisms where the access node continuously monitors signal quality and network performance metrics. Based on this feedback, the system automatically adjusts antenna orientations to optimize coverage and connectivity, enabling real-time adaptation to changing network conditions without requiring complex manual alignment procedures
3Ease of manufacture
If fixed physical configuration is used for directional antennas, then installation is simpler, but adaptability to changing network conditions decreases
Solution Approach 1:
The patent transforms fixed physical configurations into dynamic, adjustable systems. The access node incorporates motorized or electronically steerable antennas that can change their orientation in real-time based on network conditions. This allows the system to maintain installation simplicity while gaining the ability to adapt to changing network environments through automated reconfiguration
Solution Approach 2:
The patent implements preliminary automated calibration procedures that prepare the antenna system for optimal performance before actual network operation begins. The system performs initial signal scanning, network discovery, and orientation optimization automatically upon deployment, establishing a baseline configuration that can then be dynamically adjusted as network conditions change
4Ease of operation
If omni-directional antennas are used for easy configuration, then network joining is simpler, but transmit power range and coverage are limited
Solution Approach 1:
The patent implements a hybrid antenna system that can dynamically switch between omni-directional and directional modes. The access node uses omni-directional antennas for initial network discovery and configuration simplicity, then transitions to directional antenna modes when extended range is required, automatically adjusting the radiation pattern based on network requirements and signal conditions
Data Source
AI summary
In this invention we disclose methods of automatically configuring a wireless node when it initially powers on and seeks to integrate into an existing wireless network. The wireless node could be part of an ad hoc, software defined network. One such network could be LTE network. The auto-configuration methods disclosed herein can be executed on wireless nodes throughout their operation. In addition, the methods herein allow a node to intelligently choose which network to join when there is more than one available network. In alternate embodiments, the methods disclosed could be used to create a new configuration based on changed environmental conditions, location or node capability change. These embodiments allow wireless nodes to migrate to better quality connections if they become available.