5G Mesh Edge Routing for Signal Blockage Continuity
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Solution Overview
Problem
Existing 5G networks face challenges in maintaining seamless connectivity and quality of experience (QoE) due to dynamic environmental changes, signal blockage, and high latency, while also requiring significant infrastructure investment to enhance coverage and throughput.
Innovation Solution
A communication system and method utilizing a 5G mesh network formed by edge devices under a central cloud server to dynamically manage beam indexes and establish alternative communication paths, ensuring seamless connectivity and enhanced coverage through decentralized edge computing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional cloud computing is used, then centralized processing is achieved, but response delay increases and latency is high
Solution Approach 1:
The patent segments the centralized cloud computing architecture into distributed edge computing nodes deployed throughout the network. Each edge device independently processes data locally, eliminating the single-point bottleneck of traditional cloud architectures and reducing response delay through decentralized decision-making.
Solution Approach 2:
The patent introduces a spatial dimension to computing by deploying edge devices across multiple geographical locations rather than concentrating processing power in a single centralized cloud data center. This dimensional transformation brings computation closer to users in space, reducing latency.
2Loss of time
If edge computing is deployed to reduce latency, then response time improves, but infrastructure cost increases
Solution Approach 1:
The patent makes existing infrastructure elements (vehicles, smartphones, IoT devices) serve dual purposes: their primary function and edge computing node function. This multi-functionality allows the system to deploy edge computing capabilities using already-deployed hardware, avoiding the need for dedicated infrastructure and reducing overall investment requirements.
Solution Approach 2:
The patent enables edge devices to autonomously discover and establish communication paths without requiring extensive manual configuration or centralized coordination. Devices self-organize into mesh network topologies, reducing the operational overhead and infrastructure management costs associated with traditional deployed systems.
3Area of stationary object
If mesh network is formed dynamically, then coverage is increased, but network complexity increases
Solution Approach 1:
The patent implements a dynamic mesh network where the topology automatically adapts to environmental changes, device movements, and signal conditions. Edge devices dynamically establish, maintain, and reconfigure communication paths based on real-time network state, enabling coverage expansion without manual intervention and reducing the perceived complexity through automated adaptation.
4Productivity
If beamforming is used to enhance capacity, then throughput is improved, but latency in processing increases
Solution Approach 1:
The patent performs preliminary actions by pre-establishing multiple communication paths and pre-configuring beamforming parameters before data transmission is needed. When data needs to be transmitted, the system can immediately utilize pre-prepared pathways and parameters, eliminating the time-consuming setup phase and reducing overall processing latency while maintaining high throughput capabilities.
Data Source
AI summary
A communication system includes a central cloud server that obtains a plurality of sensed parameters from each edge device of a plurality of edge devices based on a discovery process at each edge device. The plurality of sensed parameters is associated with at least one of a donor antenna array or one or more relay antenna arrays of each edge device. The central cloud server causes a machine learning model to find correlation among a plurality of data points of the plurality of sensed parameters. The central cloud server formulates, using the correlation, rules to establish, maintain, and select one or more edge devices of the plurality of edge devices in advance for one or more signal obstruction scenarios. The rules are formulated to serve one or more remote User Equipment (UEs) and to identify optimal signal transmission paths to reach to the one or more remote UEs.