Shared RAN Resource Brokering for Mobility-Aware Allocation
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Solution Overview
Problem
Existing network sharing solutions in mobile networks lack dynamic, on-demand resource allocation mechanisms, leading to inefficient use of resources and missed revenue opportunities.
Innovation Solution
Implementing a capacity or resource broker within the mobile network operator's infrastructure to manage shared RAN resources dynamically, considering user mobility and service-level agreements, using forecasting and interface enhancements to optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static resource allocation based on contractual agreements is used, then network sharing can be implemented with simple architecture, but resource utilization efficiency deteriorates due to inability to adapt to dynamic service demands
Solution Approach 1:
The patent implements dynamic resource allocation by introducing a resource broker that continuously monitors service demands and user mobility patterns, automatically adjusting resource allocation in real-time rather than relying on static contractual agreements. This enables the system to adapt to changing conditions while maintaining manageable complexity through automated decision-making algorithms.
Solution Approach 2:
The resource broker acts as an intermediary entity between the network infrastructure and multiple tenants, mediating resource allocation decisions based on service-level agreements and real-time conditions. This intermediary layer simplifies the overall system architecture by centralizing complex allocation logic while presenting simplified interfaces to both network operators and tenants.
2Productivity
If manual or static resource allocation is used, then system complexity is low, but productivity deteriorates due to missed revenue opportunities and inefficient resource use
Solution Approach 1:
The system implements continuous feedback loops where the resource broker monitors service demands, user mobility patterns, and resource utilization metrics, then automatically adjusts allocations based on this feedback. This enables high productivity through real-time optimization while managing complexity through automated closed-loop control rather than manual intervention.
Solution Approach 2:
The resource allocation system operates autonomously with the resource broker making automated decisions based on pre-configured service-level agreements and real-time conditions, eliminating the need for manual resource management. This self-service approach maximizes productivity while keeping the management system relatively simple through rule-based automated decision-making.
3Reliability
If resources are allocated without considering user mobility, then allocation process is simple and fast, but service quality deteriorates due to mismatched resource placement
Solution Approach 1:
The system performs preliminary actions by proactively predicting user mobility patterns and pre-allocating resources to anticipated service locations before users actually move there. This anticipatory approach ensures high service quality by having resources ready in advance, while managing complexity through prediction algorithms rather than reactive reallocation.
Data Source
AI summary
A method for performing network management for a shared Radio Access Network (RAN) infrastructure provided by a mobile network operator includes managing the shared RAN infrastructure by a master operator network manager of the mobile network operator; and allocating, by the master operator network manager upon receiving service requests from one or more tenants, resources to accommodate the service requests. The master operator network manager cooperates with a capacity or resource broker residing inside the network of the mobile network operator that considers information on mobility of a user or a set of users involved in a particular service request for deciding on resource allocations to the particular service request.