Dispersed Object Storage Across 5G gNB Clusters to Cut Backhaul Load
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Solution Overview
Problem
Next generation radio access networks face challenges in meeting 5G performance expectations due to increased demands on backhaul uplink and download bandwidth, which can lead to bottlenecks and high costs, necessitating additional infrastructure upgrades.
Innovation Solution
Implementing dispersed object storage within the RAN by leveraging the split between Centralized Unit (CU) and Distributed Unit (DU) components of gNBs, using an information dispersal algorithm to disperse redundant slices of object data into local storage units, reducing reliance on backhaul and enhancing latency and bandwidth efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cloud service requirements are implemented to support computations in the network, then service performance is improved, but backhaul traffic conditions worsen
Solution Approach 1:
The patent segments the storage system into distributed storage units across multiple radio access nodes, with each node maintaining local storage capacity. This segmentation allows data to be stored locally rather than centralized in cloud infrastructure, reducing backhaul traffic while maintaining service performance through distributed data access.
Solution Approach 2:
The patent introduces a new dimension of local storage capacity at the radio access network edge, moving storage from a single centralized cloud dimension to multiple distributed local dimensions. This dimensional change enables data to be stored and accessed locally, reducing dependency on backhaul connections while maintaining cloud service functionality.
2Speed
If greater uplinks and downline rates are implemented for indoor hotspot and rural macro environments, then data rate performance is improved, but infrastructure complexity worsens
Solution Approach 1:
The patent applies local quality by enabling each radio access node to have its own local storage units with specific capacities, allowing different nodes to serve different traffic patterns and performance requirements. This local differentiation enables high data rates in hotspot areas through local storage while avoiding the need for complex centralized infrastructure upgrades in rural areas.
3Loss of energy
If dispersed object storage is implemented within radio access nodes, then backhaul demand is reduced, but storage system complexity worsens
Solution Approach 1:
The patent implements self-service by enabling radio access nodes to autonomously manage their own local storage units, including data placement, retrieval, and lifecycle management. This self-service capability reduces the need for complex centralized storage management systems and minimizes backhaul demand while maintaining manageable system complexity through distributed autonomy.
Data Source
AI summary
The method provides for one or more processors to disperse object data for storage within a fifth-generation radio access network (RAN). The one or more processors receive radio frequency (RF) input for object data storage from a client device. The one or more processors perform a setup session configuring the RF input received for object data storage. The one or more processors perform a translation of the received RF input, wherein the translation enables processing of the RF input by an information dispersal algorithm (IDA) and enables storage of the object data of the RF input among multiple next generation node base stations (gNBs) forming a gNB cluster within a radio access network (RAN), and the one or more processors storing the object data of the received RF input across the gNB cluster in an Object Segment format.