Edge Hub Placement for Virtual RAN Based on Resource Availability
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Solution Overview
Problem
Existing network implementations face challenges in reducing costs and improving performance due to increased connection distances, which can lead to increased costs and decreased performance when functions are migrated across network equipment.
Innovation Solution
A system that utilizes site selection equipment to place edge hub equipment for virtual radio access networks based on resource availability and performance, employing a multi-connectivity framework that supports new radio (NR) and long-term evolution (LTE) technologies, allowing for the selection of optimal candidate sites for edge hub equipment placement to reduce overhead and enhance global resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If functions are migrated across network equipment to reduce cost, then cost is reduced, but connection distance increases causing performance degradation
Solution Approach 1:
The patent applies local quality by deploying edge hub equipment at specific candidate sites within the network that are optimally positioned to serve local radio unit equipment. This localized deployment ensures that functions are migrated to nearby edge hubs rather than distant centralized locations, maintaining short connection distances and high performance while achieving cost reduction through distributed edge computing architecture.
2Productivity
If edge hub equipment is deployed at candidate sites, then resource allocation is optimized and performance is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the network into multiple segments with edge hub equipment deployed at different candidate sites. Each edge hub serves a specific geographic area or set of radio units, allowing independent resource allocation and management in each segment. This segmented approach optimizes resource allocation efficiency while managing complexity through modular, distributed architecture rather than a single complex centralized system.
Solution Approach 2:
The patent applies dynamics by implementing flexible candidate site selection that can adapt to changing network conditions, traffic patterns, and resource availability. The system dynamically evaluates candidate sites based on current performance metrics and resource constraints, allowing the network to optimize edge hub placement in real-time rather than using fixed static deployment, thereby improving resource allocation while keeping the system adaptable rather than overly complex.
Data Source
AI summary
The technologies described herein are generally directed to placing edge hub equipment for virtual radio access networks based on resource availability and performance in advanced networks, such as a fifth generation (5G) network or other next generation networks. For example, a method described herein can include receiving a request to select, for deployment of hub equipment, between site locations, with the deployment of the hub equipment being to connect, in a fronthaul segment, radio unit equipment of the network at a radio location to a backhaul connection equipment. The method can further include, based on the request, the radio location, and the backhaul location, comparing a characteristic of the site locations. Further, the method can include responding to the request with a selected site location that was selected based on a result of the comparing.