Steerable 5G Antenna Edge Computing for Low-Latency Coverage
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Solution Overview
Problem
5G cellular networks face challenges in providing low-latency, high-throughput connectivity with minimal coverage gaps, requiring numerous small cell towers that need to be strategically placed for direct line-of-sight communication, leading to potential aesthetic issues and increased infrastructure demands.
Innovation Solution
The implementation of a system with steerable 5G transceivers, edge processing modules, and neural networks that calibrate antenna beams for optimal communication, utilizing cryogenic, quantum, or neuromorphic processors to provide low-latency computation and beam sweeping capabilities, integrated with sensors and cameras for security and traffic management, and capable of network slicing to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If numerous small cell towers are deployed to provide low-latency, high-throughput connectivity with minimal coverage gaps, then network performance and coverage are improved, but infrastructure complexity and aesthetic impact worsen
Solution Approach 1:
The patent integrates 5G transceivers into existing street furniture (street lights, traffic signals, sign posts) that already serve public infrastructure functions. This allows the same physical structure to provide both traditional infrastructure support and wireless communication services, reducing the need for dedicated tower infrastructure while improving network coverage and reliability.
2Productivity
If numerous small cell towers are deployed to provide low-latency, high-throughput connectivity, then network performance is improved, but visual aesthetics worsen due to increased infrastructure visibility
Solution Approach 1:
By integrating 5G transceivers into existing street furniture that serves multiple public functions (lighting, traffic control, signage), the patent eliminates the need for visible dedicated communication towers. The infrastructure maintains its original aesthetic purpose while providing high-throughput 5G connectivity, thus improving productivity without compromising visual aesthetics.
3Speed
If edge processing modules with advanced processors are implemented, then computation speed and low-latency performance are improved, but device complexity and cost increase
Solution Approach 1:
The patent divides the processing architecture into edge processing modules located at distributed infrastructure points (street lights, traffic signals) and centralized cloud processing. This segmentation enables low-latency computation at the edge for time-sensitive operations while complex processing is handled centrally, improving computation speed without requiring every node to have high complexity.
Solution Approach 2:
The patent introduces a hybrid processing architecture that acts as an intermediary between centralized cloud processing and end-user devices. Edge processing modules perform intermediate computation and data preprocessing, reducing the latency burden on both the cloud and user devices while maintaining manageable complexity at each level through coordinated processing.
Data Source
AI summary
A system includes a transceiver to communicate with a predetermined target; one or more antennas coupled to the transceiver each electrically or mechanically steerable to the predetermined target; and an edge processing module coupled to the transceiver and one or more antennas to provide low-latency computation for the predetermined target.