LSA Repository Border Optimization for Spectrum Efficiency
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Solution Overview
Problem
In Licensed Shared Access (LSA) environments, optimizing spectrum efficiency between adjacent Mobile Network Operators (MNOs) is challenging due to limited information exchange and restrictive agreements, leading to suboptimal spectrum utilization and interference issues at shared borders.
Innovation Solution
A method and apparatus for exchanging information between MNOs to identify common borders and optimize LSA resource usage, allowing for agreement optimization restrictions to be stored and controlled within the LSA Repository, while ensuring compliance with regulator and incumbent agreements, thereby enhancing spectrum efficiency without violating security or privacy constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If information exchange between MNOs is restricted to maintain security and privacy, then security and privacy constraints are satisfied, but spectrum efficiency optimization at shared borders deteriorates
Solution Approach 1:
The LSA Repository serves as an intermediary that enables controlled information exchange between MNOs. It stores agreement optimization restrictions and facilitates border optimization negotiations without requiring direct unrestricted access between MNOs, thus maintaining security while enabling optimization.
Solution Approach 2:
The system changes the parameter of information accessibility by introducing agreement optimization restrictions that define what information can be exchanged and under what conditions. This allows spectrum efficiency optimization while maintaining security through parameter-controlled access.
2Device complexity
If static spectrum allocation is used to simplify network configuration, then device complexity is reduced, but adaptability to LSA spectrum sharing requirements deteriorates
Solution Approach 1:
The system transitions from static spectrum allocation to dynamic allocation by enabling border optimization negotiations between MNOs. The agreement optimization restrictions allow the network to adapt spectrum usage dynamically while maintaining manageable complexity through structured negotiation protocols.
Solution Approach 2:
The LSA Repository serves multiple functions: storing LSA resource information, managing agreement optimization restrictions, facilitating border optimization negotiations, and controlling optimized rules. This multi-functionality reduces overall system complexity by centralizing operations.
3Ease of operation
If MNOs operate independently with hidden LSA resources to simplify management, then ease of operation is improved, but spectrum utilization efficiency deteriorates
Solution Approach 1:
The border optimization mechanism introduces feedback loops where MNOs negotiate and share information about border conditions. This controlled feedback enables improved spectrum utilization while maintaining operational simplicity through structured negotiation processes mediated by the LSA Repository.
Data Source
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AI summary
It is provided a method, comprising monitoring if a request for an optimization of a rule affecting a border of a shared resource is received from a first controller; identifying, if the request is received, a second controller having at least a part of the border in common with the first controller; informing the second controller on the request, the rule, and the part of the border.