Dynamic Network Resource Pricing via Intelligent Orchestration
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Solution Overview
Problem
Current wireless communication networks offer fixed-price service level agreements (SLAs) based on quality of service (QoS), which cannot be dynamically adjusted in response to changes in resource availability or demand, limiting flexibility and efficiency in resource allocation.
Innovation Solution
Implementing a commoditized resource allocation system using intelligent supply-demand-based pricing models, where network orchestration functions negotiate resource prices with tenants, allowing dynamic adjustments to QoS policies based on real-time resource allocation and demand models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If fixed-price SLA based on agreed-upon QoS is used, then service stability is maintained, but resource allocation flexibility deteriorates
Solution Approach 1:
The patent transforms the static fixed-price SLA model into a dynamic pricing model where QoS parameters and pricing are continuously adjusted based on real-time supply-demand conditions. The network orchestration function dynamically negotiates pricing and resource allocation with tenants, allowing the system to adapt resource allocation flexibility while maintaining service stability through controlled adjustments.
Solution Approach 2:
The patent changes the pricing parameter from fixed to dynamic, allowing QoS parameters (bandwidth, latency, reliability) to be adjusted based on market conditions. The system modifies pricing parameters in response to supply-demand signals, enabling flexible resource allocation while maintaining service quality through parameter-based control.
2Adaptability or versatility
If dynamic policy updates are implemented, then resource allocation flexibility is improved, but system complexity increases
Solution Approach 1:
The patent introduces a network orchestration function as an intermediary between the core network and tenants. This intermediary handles the complexity of dynamic policy updates, supply-demand modeling, and pricing negotiations, shielding the core network from complexity while enabling flexible resource allocation. The orchestrator acts as a mediator that simplifies the interaction between dynamic requirements and static network infrastructure.
3Productivity
If supply-demand-based pricing is used, then resource utilization efficiency is improved, but pricing model complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the network orchestration function continuously monitors supply-demand conditions and adjusts pricing accordingly. The system collects feedback on resource utilization, tenant requirements, and market conditions, then uses this feedback to dynamically adjust pricing and allocation decisions, improving resource utilization efficiency while managing pricing model complexity through iterative optimization.
Data Source
AI summary
Systems and methods are provided for offering tenants the ability to purchase commoditized network resources in a next-generation, large-scale wireless communication network (e.g., a 5G or 6G cellular network) according to dynamic pricing. For example, the network can update pricing of commoditized network resources intelligently and dynamically based on present and/or predicted supply and/or demand of the network resources. The updated pricing is offered to tenants on a periodic or other basis, and the tenants can decide whether to purchase more or less of those resources based on the updated pricing. The network can adjust resource allocations to the tenants based on the updated purchase decisions. The network can also automatically adjust QoS parameters for the tenants to fit within their purchased resource allocations.