AI Network Operator Dynamic Spectrum Leasing
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Solution Overview
Problem
The current mobile network spectrum market is oligopolistic, with expensive auctions and limited spectrum sharing, hindering competition and efficient resource utilization, especially with the need for additional backhaul capacity and real estate for new communication protocols like 5G, which limits entry for new mobile network operators (MNOs).
Innovation Solution
The implementation of an autonomous hardware and software network platform that allows for the monetization of unused spectrum and resources through intelligent algorithms, enabling on-demand spectrum license purchases, dynamic resource acquisition, and bandwidth micro-contracting, using a programmable software-defined radio and Ethernet or fiber backhaul, with AI-driven selection and leasing of network resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If expensive spectrum auctions are conducted to allocate spectrum licenses, then government revenue is increased, but barriers to entry for new competitors are raised
Solution Approach 1:
The patent segments spectrum licenses into short-term, geographically restricted licenses rather than long-term broad licenses. This allows spectrum to be divided into smaller units that can be auctioned independently, increasing government revenue through multiple transactions while lowering the barrier to entry for new operators who only need to acquire licenses for specific areas and time periods.
Solution Approach 2:
The patent introduces dynamic spectrum licensing where licenses are granted for short durations and can be reacquired in subsequent auctions. This dynamic approach allows spectrum allocation to adapt to changing market conditions, enabling new operators to enter the market by bidding on licenses when incumbents choose not to renew or re-bid at high prices.
2Productivity
If additional backhaul capacity and real estate are deployed to support 5G and smaller cell sizes, then coverage and capacity are improved, but capital requirements and barriers to entry are increased
Solution Approach 1:
The patent segments the network infrastructure into modular components that can be deployed independently. By obtaining short-term spectrum licenses for specific geographic areas, operators can deploy targeted backhaul and real estate infrastructure only where needed, rather than building comprehensive nationwide infrastructure, thereby reducing capital requirements while maintaining network capacity.
Solution Approach 2:
The patent changes the temporal and spatial parameters of spectrum licensing to align with infrastructure deployment capabilities. Short-term licenses allow operators to test and deploy infrastructure incrementally, adjusting capital expenditure based on actual performance and market demand rather than committing to large upfront infrastructure investments.
3Productivity
If spectrum is shared among operators to improve resource utilization, then revenue and service quality can be improved, but transaction costs and agreement complexity increase
Solution Approach 1:
The patent creates a universal short-term licensing framework that serves multiple functions: it enables spectrum sharing, facilitates market competition, generates government revenue, and reduces transaction complexity. By standardizing on short-term geographically restricted licenses, the system provides a common platform that simplifies all spectrum transactions rather than requiring complex bilateral agreements for each sharing arrangement.
Solution Approach 2:
The patent enables operators to independently acquire and manage their own spectrum licenses through standardized auctions without requiring complex negotiation and agreement processes. Each operator can independently bid for licenses in areas and time periods that match their strategic needs, eliminating the need for complex inter-operator sharing agreements while still achieving efficient resource utilization.
4Stability of the object's composition
If operators acquire long-term spectrum licenses with specific properties, then service stability is ensured, but adaptability to changing market conditions and optimal spectrum selection are reduced
Solution Approach 1:
The patent replaces static long-term licenses with dynamic short-term licenses that can be reacquired in subsequent auctions. This allows operators to maintain service stability by consistently winning auctions for their needed spectrum while simultaneously adapting to changing market conditions by adjusting their bidding strategies based on current spectrum availability, competitor actions, and demand patterns.
Solution Approach 2:
The patent introduces feedback loops through repeated auctions where operators learn from past bidding outcomes and adjust their strategies. Operators receive feedback on spectrum utilization, revenue generation, and market conditions from each auction cycle, enabling them to make informed decisions about which spectrum to acquire next, thereby maintaining service stability while adapting to optimal spectrum selections over time.
Data Source
AI summary
An artificial intelligence network operator (aiNO) that autonomously and dynamically acquires network resources on an open marketplace includes software running a machine learning model and a processor that controls backhaul connectivity and a network communication component. In some embodiments, the aiNO facilitates resale of the acquired network resource to end users.