Radio Resource Allocation Database for Wireless Handover Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current dynamic spectrum allocation technologies in wireless communication systems face challenges such as high computational complexity, resource wastage, and limited availability of radio access technologies, leading to inefficient handover processes in heterogeneous networks.
Innovation Solution
A method and system for handover based on a radio resource allocation database that dynamically maintains and prioritizes radio resources and Radio Access Technologies (RATs) for User Equipment (UE), allowing for quick and efficient handovers by determining the most suitable RAT and carrier frequency resources based on Quality of Service (QoS) parameters and user priorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optimization algorithms including neural network, genetic algorithm, or simulated anneal are used for dynamic spectrum allocation, then the optimal dynamic spectrum allocation is achieved, but the calculated amount is large and device resources are wasted
Solution Approach 1:
The patent pre-calculates and stores optimal spectrum allocation results in a database before actual handover occurs. The database contains pre-computed spectrum information, idle time, affiliated base stations, and communication strategies for various scenarios. During handover, the system directly queries this pre-prepared database rather than performing complex real-time calculations, thus achieving optimal allocation without heavy computational burden.
Solution Approach 2:
The patent creates a simplified copy of the complex optimization problem by storing pre-computed allocation results in a database. Instead of solving the full optimization problem in real-time, the system uses a simplified query mechanism that retrieves pre-calculated solutions, effectively copying the essential information needed for decision-making without the computational complexity of the original optimization algorithms.
2Device complexity
If database searching method is used for DSA and handover, then the calculation complexity is reduced, but the database construction and searching mechanism directly determine system performance
Solution Approach 1:
The database is constructed and maintained in advance with pre-calculated spectrum allocation information, idle time data, affiliated base station details, and communication strategies. This preliminary preparation ensures that when handover is needed, the system can quickly query reliable pre-computed results rather than making suboptimal real-time decisions.
Solution Approach 2:
The system continuously updates the database with current spectrum availability, idle time measurements, and performance data from actual handovers. This feedback mechanism ensures the database remains accurate and reflects current network conditions, maintaining high system performance while using the simpler database querying approach.
3Reliability
If fixed spectrum allocation is used for authorized users, then the spectrum resources are guaranteed, but the utilization ratio of spectrum is low and pressure of spectrum resources increases
Solution Approach 1:
The patent transitions from fixed static spectrum allocation to dynamic allocation based on actual network conditions. The database stores spectrum information and idle time data that are continuously updated, allowing the system to dynamically reassign spectrum resources during handover based on current utilization patterns, thereby increasing overall spectrum utilization while maintaining service guarantees.
Solution Approach 2:
The system changes the allocation parameters from fixed to variable by incorporating idle time measurements and current spectrum availability into the database. This allows spectrum allocation decisions to adapt to changing conditions, optimizing utilization ratios while maintaining the reliability of service guarantees through the structured database query mechanism.
4Productivity
If handover is performed without pre-maintained radio resource allocation database, then the device resources are saved, but the handover speed is slow and efficiency is reduced
Solution Approach 1:
The system performs preliminary actions by constructing and maintaining the radio resource allocation database in advance, storing spectrum information, idle time, affiliated base stations, and communication strategies. This pre-preparation enables fast handover execution by allowing the system to directly query pre-computed optimal allocations rather than calculating them in real-time during handover events.
Data Source
AI summary
The disclosure discloses a method for handover based on a radio resource allocation database. The method includes that the radio resource allocation database is constructed and dynamically maintained; after receiving a handover request from a User Equipment (UE), a Base Station (BS) determines in the database a Radio Access Technology (RAT) and the corresponding carrier frequency resources suitable for a current communication condition of the UE for the UE according to a handover reason in the handover request, and notifies the UE of information regarding the determined RAT and information regarding the corresponding carrier frequency resource; and the UE performs QoS verification on the RAT and the corresponding carrier frequency resources notified by the BS, and switches to the corresponding carrier frequency with the RAT notified by the BS when the QoS on the RAT and the corresponding carrier frequency resources is superior to that of current communication. Meanwhile, the disclosure further discloses a system for handover based on a radio resource allocation database. The disclosure improves a resource usage rate and the QoS of a current communication system. The disclosure enables the UE to complete the handover quickly, such that user experience is improved.