Virtual Fiber Backhaul Control for Dynamic Spectrum Availability
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Solution Overview
Problem
Existing wireless and fiber infrastructure struggle to meet the demands of high-bandwidth applications due to inconsistent performance, complex deployments, static spectrum allocation, and latency issues, leading to underutilization of spectrum resources and limited adaptability in dynamic environments.
Innovation Solution
A virtual fiber communication system with a centralized cloud server that manages spectrum availability across multiple network nodes, utilizing hybrid analog-digital repeaters and adaptive spectrum sharing to dynamically inject capacity and mitigate interference, ensuring ultra-reliable and ultra-low latency communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fiber-optic connections are installed on existing utility poles, then wireless backhaul capacity is improved, but deployment complexity and cost increase due to excavation requirements
Solution Approach 1:
The system segments the backhaul network into multiple wireless hops between relay nodes, eliminating the need for continuous fiber installation along entire routes. Each segment operates independently, allowing deployment without extensive excavation and reducing overall deployment complexity while maintaining high capacity through aggregated wireless links
Solution Approach 2:
The patent replaces mechanical fiber-optic cable installation (requiring excavation and physical infrastructure) with wireless electromagnetic signal transmission. This substitution eliminates the need for physical trenching and cable laying, dramatically reducing deployment complexity and cost while delivering equivalent or superior backhaul capacity
2Ease of operation
If static spectrum allocation is used, then spectrum management simplicity is improved, but spectrum utilization efficiency deteriorates due to underutilization of valuable spectrum resources
Solution Approach 1:
The system implements dynamic spectrum allocation where spectrum resources are continuously adjusted based on real-time network conditions, traffic demand, and interference levels. Relay nodes can adaptively select and switch between different frequency bands, ensuring optimal spectrum utilization efficiency while maintaining manageable complexity through automated control algorithms
Solution Approach 2:
The patent incorporates feedback mechanisms where relay nodes monitor spectrum usage, interference conditions, and traffic patterns, then report this information to the network controller. The controller processes this feedback and adjusts spectrum allocation accordingly, achieving high utilization efficiency through data-driven dynamic resource management while keeping operational complexity manageable through automated closed-loop control
3Area of stationary object
If more wireless access points or relay nodes are introduced to extend communication range, then network coverage is improved, but latency increases
Solution Approach 1:
The system performs preliminary actions by pre-establishing multiple potential relay paths and pre-synchronizing timing between relay nodes during network setup. When data needs to be transmitted, the optimal pre-configured path can be activated immediately without dynamic routing delays, reducing latency while extending coverage through the pre-planned relay infrastructure
Solution Approach 2:
The patent implements continuous synchronization and forward error correction mechanisms that maintain uninterrupted data flow across multiple relay hops. By ensuring continuous useful action through proactive error handling and seamless handoff between relays, the system minimizes latency accumulation even as coverage area expands through additional relay nodes
4Adaptability or versatility
If conventional Wi-Fi mesh topologies are used, then deployment flexibility is improved, but performance deteriorates due to shared channel contention and interference
Solution Approach 1:
The system applies local quality by assigning dedicated frequency bands or time slots to specific relay links rather than using shared channels for all communications. Each local link operates with optimized, interference-free resources tailored to its specific conditions, maintaining deployment flexibility while dramatically improving throughput performance by eliminating shared channel contention and co-channel interference
Data Source
AI summary
A virtual fiber communication system includes a central cloud server that obtains telemetry information from a plurality of network nodes of a wireless backhaul mesh network. The telemetry information includes a first type of telemetry information from a plurality of hybrid analog-digital repeater devices and a second type of telemetry information from a plurality of wireless access point devices. The central cloud server collects data related to properties of signal blockers in a surrounding area of the plurality of network nodes and trains a neural network model based on the first type of telemetry information and the second type of telemetry information. The central cloud server deploys the trained neural network model to detect a Radio Frequency (RF) signal interference or blockage caused by the signal blockers. The detection is based on the data related to the properties of the signal blockers.