5G Mesh Network Beam Selection for Service 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, especially in indoor and outdoor applications, without significantly increasing infrastructure costs.
Innovation Solution
A communication system and method utilizing a 5G mesh network formed by edge devices under the control of a central cloud server, dynamically managing beam indexes and forming mesh networks to overcome signal blockage and enhance coverage, ensuring seamless connectivity and improved QoE with low latency and high throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a traditional cloud-based network architecture is used, then centralized control is simplified, but latency increases and response time deteriorates
Solution Approach 1:
The patent segments the traditional centralized cloud network into a distributed edge computing mesh network. Edge devices are divided into mesh nodes that independently perform computation and routing functions. This segmentation brings computing resources closer to user equipment, reducing latency while distributing system complexity across multiple autonomous nodes rather than concentrating it in a centralized cloud.
Solution Approach 2:
The patent introduces a new spatial dimension to network architecture by deploying edge devices in three-dimensional space (indoor, outdoor, aerial, underwater locations). This dimensional expansion creates multiple proximity-based communication paths, reducing latency through shorter physical distances while managing complexity through spatial distribution of network functions.
2Loss of time
If edge devices are deployed to reduce latency, then response time improves, but infrastructure cost increases
Solution Approach 1:
The patent makes edge devices universal by enabling them to perform multiple functions: computing, storage, routing, and mesh network participation. Rather than deploying specialized infrastructure for each function, single edge devices provide all services, reducing overall infrastructure cost while maintaining low latency through localized processing.
Solution Approach 2:
The patent implements self-service mechanisms where edge devices automatically discover neighboring nodes, establish mesh network connections, and perform dynamic routing without centralized provisioning. This automation reduces deployment and operational costs while maintaining the distributed architecture benefits for low-latency communication.
3Adaptability or versatility
If mesh network is formed dynamically, then coverage is extended and service continuity is maintained, but device complexity increases
Solution Approach 1:
The patent implements dynamic mesh network formation where edge devices continuously discover, connect, and disconnect based on their movement and environmental conditions. The network topology adapts in real-time to maintain coverage, with devices automatically adjusting routing paths. This dynamic behavior extends coverage to mobile and transient locations while managing complexity through automated protocols rather than static configurations.
4Productivity
If beamforming and beam steering are used to enhance capacity, then data throughput improves, but latency increases
Solution Approach 1:
The patent segments the communication path into multiple parallel mesh links between edge devices. Instead of relying on a single high-capacity beamformed connection that requires complex signal processing, data is divided and transmitted through multiple simpler mesh paths simultaneously, achieving high throughput with lower per-link complexity and reduced processing latency.
Data Source
AI summary
A communication system includes a plurality of edge devices comprising a first edge device. The first edge device fires a plurality of first beams from a donor antenna array based on different first beam indexes and fires a plurality of second beams from one or more relay antenna arrays based on different second beam indexes. The first edge device measures signal strength of each fired beam, identifies a donor beam index and one or more relay beam indexes based on the measured signal strengths exceeding a threshold, establishes a first communication link to an upstream neighboring node based on the identified donor beam index, creates one or more second communication links to one or more downstream neighboring nodes based on the identified relay beam indexes, and creates a mesh network of the plurality of edge devices based on the established communication links.