5G Connection Configuration Using Hybrid Quantum Load Balancing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional 5G network connection control systems face inefficiencies in mobility load balancing due to complex rule-based designs and limitations in expandability with deep-learning-based approaches, requiring frequent data collection and model retraining when network configurations change.
Innovation Solution
A network connection control system utilizing a hybrid quantum-classical algorithm to optimize connection configurations across user equipments and base stations, employing quantum annealing and classical algorithms to achieve load balancing and maximum throughput without the need for repeated data collection and model training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If rule-based manner is used for mobility load balancing in 5G network, then the system is simple to implement, but the rule design becomes much more complicated and inefficient as the number of connection devices increases significantly
Solution Approach 1:
The patent replaces the mechanical rule-based control system with a quantum annealing optimization system. The quantum processor solves the mobility load balancing problem by formulating it as a QUBO (Quadratic Unconstrained Binary Optimization) problem, where quantum bits represent connection decisions between user equipments and base stations. This substitution transforms the complex rule design into a mathematical optimization problem that can be solved efficiently by quantum annealing, resolving the contradiction between ease of implementation and rule design complexity.
2Productivity
If deep-learning-based manner is used to deal with mobility load balancing, then the MLB problem can be solved under specific network architecture, but the expandability is limited as data collection and model training must be performed again when the 5G field is replaced or changed
Solution Approach 1:
The patent creates a universal quantum annealing-based optimization framework that can handle mobility load balancing across different network configurations without requiring retraining. The system formulates the MLB problem as a QUBO optimization problem that adapts to any network topology by adjusting the objective function and constraints accordingly. This universal approach eliminates the need for repeated data collection and model training when the 5G field changes, resolving the contradiction between productivity and expandability.
3Productivity
If quantum annealing algorithm is used to optimize connection configuration, then the optimal connection configuration can be found in real-time to achieve load balancing and maximum throughput, but the number of quantum bits required may be large
Solution Approach 1:
The patent segments the mobility load balancing problem into manageable components that can be processed with a reduced number of quantum bits. The system divides the network into clusters or zones and applies quantum annealing to local optimization problems rather than the entire network at once. This segmentation allows real-time optimization while keeping the quantum bit requirement within practical limits, resolving the contradiction between optimization speed and quantum resource consumption.
Data Source
AI summary
A network connection control system and method is provided. The network connection control system includes user equipments, base stations, a server and first and second processing units. Each user equipment transmits a network parameter between it and every base station to the server through the base station connected therewith. The first processing unit assigns CIO set values corresponding to the base station. The network connection control system is configured to perform an optimizing procedure. In the optimizing procedure, according to the CIO set values, the network parameters, the throughput objective function and connection and network resource constraints of all the user equipments and base stations, the first and second processing units processes based on classical algorithm and quantum annealing algorithm respectively to obtain the optimized connection configuration.