Generative AI RAN Resource Sharing Across Network Operators
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Solution Overview
Problem
Current wireless telecommunications networks face challenges in spectrum utilization efficiency due to exclusive ownership and operation of RAN subsystems by different network operators, leading to network congestion, high costs, and complex hardware management, with insufficient spectrum sharing between operators.
Innovation Solution
A resource sharing platform leveraging generative AI and universal integrated antenna radio units (UIA) facilitates the sharing and exchange of resources like spectrum, beamforming, and Tx power across different network operators, allowing customization of RAN subsystems and reducing the need for duplicate equipment on towers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each network operator manages and operates their own spectrum exclusively with dedicated RAN equipment, then network operator control and service quality are maintained, but spectrum utilization efficiency decreases and network congestion increases
Solution Approach 1:
The patent implements a universal RAN equipment platform that can be shared across multiple network operators. The base station hardware and radio resources are designed to support multiple operators simultaneously through virtualization and dynamic resource allocation, allowing one physical infrastructure to serve multiple functions and operators, thereby improving spectrum utilization while maintaining operator-specific service quality
Solution Approach 2:
The patent introduces a spectrum sharing platform as an intermediary layer between the physical RAN equipment and multiple network operators. This platform manages resource allocation, handles authentication, and coordinates spectrum usage among different operators, enabling efficient shared access while preserving each operator's control over their services
2Ease of manufacture
If network operators co-locate their equipment at the same site or tower top, then infrastructure costs are reduced, but structural challenges and technical complexity increase
Solution Approach 1:
The patent merges multiple operators' RAN equipment into a single unified base station platform. Instead of each operator deploying separate physical equipment, the system combines their requirements into one shared infrastructure with virtualized network functions, reducing tower top clutter and infrastructure costs while managing complexity through software-based resource separation
Solution Approach 2:
The patent creates virtual copies of network operator services and configurations within the shared physical infrastructure. Each operator's network functions are replicated as virtual instances on the same hardware platform, allowing multiple operators to have their own customized RAN characteristics without requiring duplicate physical equipment
3Reliability
If spectrum is not shared between different network operators, then network operator autonomy and service quality are maintained, but network costs increase and innovation is hindered
Solution Approach 1:
The patent implements dynamic resource allocation where spectrum and radio resources are not statically assigned to individual operators but are dynamically allocated based on real-time demand, network conditions, and service requirements. This allows efficient utilization of available spectrum while maintaining each operator's ability to guarantee service quality for their subscribers through reserved capacity and priority mechanisms
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a device, comprising a first processing system associated with a first operator of a first network and including a processor, and a memory that stores executable instructions that, when executed by the first processing system, facilitate performance of operations. The operations may include receiving, from a second processing system associated with a second operator of a second network, a request to share one or more radio access network (RAN) resources of the first network, responsive to the receiving the request, utilizing one or more generative AI models to determine whether the one or more RAN resources are to be shared, resulting in a determination, and based on the determination indicating that the one or more RAN resources are to be shared, causing the one or more RAN resources to be allocated for use by the second network. Other embodiments are disclosed.