Mobile Network Simulation Engine for Radio Resource Management
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Solution Overview
Problem
Current network planning tools for mobile telephone networks, particularly those based on CDMA standards, face challenges in accurately and efficiently evaluating the performance of radio resource management procedures and simulating various traffic scenarios, leading to lengthy simulation times and potential inaccuracies.
Innovation Solution
A method involving dual simulations of independent network configurations, with specific steps to activate user blocks and process radio resource management events, utilizing a client-server architecture and object-oriented simulation engine to minimize simulation time while maintaining accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If static simulation methods are used for network planning, then network configuration analysis can be performed, but simulation accuracy for radio resource management procedures is insufficient
Solution Approach 1:
The patent transitions from static simulation to dynamic simulation that processes radio resource management events in temporal sequence. The simulation engine activates user blocks sequentially and processes events such as admissions, handovers, and outages in the order they occur, enabling accurate evaluation of RRM procedures while maintaining computational efficiency through event-driven architecture.
Solution Approach 2:
The patent performs preliminary determination of user block activation sequences before executing the full simulation. By pre-calculating which user blocks to activate and in what order, the system prepares the simulation framework in advance, reducing computation time during actual RRM event processing and improving overall simulation efficiency.
2Reliability
If multiple traffic scenarios are simulated separately, then comprehensive performance evaluation is achieved, but simulation time increases significantly
Solution Approach 1:
The patent merges multiple traffic scenario simulations into a single integrated simulation run. The system activates different user blocks representing different traffic scenarios (e.g., voice, data, video) within the same simulation environment, processing all scenarios concurrently through the event-driven engine. This approach maintains comprehensive evaluation capability while dramatically reducing total simulation time compared to separate runs.
Solution Approach 2:
The simulation engine is designed with universal functionality to handle multiple traffic scenarios and RRM procedures within a single framework. It can process admissions, handovers, outages, and congestion control events for diverse traffic types simultaneously, making the system multi-functional and eliminating the need for separate specialized simulations for each scenario.
3Measurement precision
If detailed radio resource management events are processed, then accurate performance metrics are obtained, but computational complexity increases
Solution Approach 1:
The patent segments the simulation into discrete, manageable events (admissions, handovers, outages, congestion control) that are processed independently in temporal sequence. Each event is handled as a separate unit with specific processing logic, allowing detailed RRM analysis without overwhelming computational complexity. The event-driven architecture organizes complex interactions into modular, manageable segments.
Solution Approach 2:
The event-driven simulation engine acts as an intermediary that manages the complexity of detailed RRM event processing. It coordinates between user block activations, traffic scenario requirements, and RRM procedure executions, mediating the interactions and maintaining system organization. This intermediary layer simplifies the overall computational structure while enabling detailed performance analysis.
Data Source
AI summary
A method of evaluating the performance of a mobile telephone network having at least a first and a second simulation of a first and a second network configuration, respectively, which are statistically independent of each other. Each simulation includes the following steps: specifying a total number of users to be simulated; determining a sequence of activation of user blocks included in this total number of users to be simulated and indicating a traffic distribution; activating said user blocks in succession until the total number of users to be simulated is reached; and processing at least one radio resource management event relating to the traffic distribution associated with each currently activated user block. The simulations are repeated until a predetermined accuracy threshold is reached for each simulated network value.