Dynamic Radio Communication Simulation Module
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Solution Overview
Problem
Current simulation software for radio communications in operational scenarios lacks the ability to accurately consider the dynamic behaviors of entities and environmental factors, leading to inadequate simulation of communication states, which can impact operation feasibility and equipment validation.
Innovation Solution
The proposed system includes an entity generator for defining entities and their communication means, a central simulation module for evaluating communication possibilities and quality, a traffic generator for simulating radio traffic, and a module for restoring communication states, allowing for dynamic simulation of radio communications based on entity behaviors and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If statistical hypotheses independent of real evolution are used for traffic generation, then the simulation can be implemented with simpler processes, but the accuracy of communication state simulation deteriorates
Solution Approach 1:
The patent implements dynamic traffic generation where traffic hypotheses are no longer static statistical assumptions but evolve in real-time based on entity behaviors, environmental conditions, and simulation progress. The system continuously updates traffic patterns to reflect actual operational dynamics, transforming the simulation from a static statistical model to a dynamic adaptive model that accurately captures communication state evolution throughout the operation.
Solution Approach 2:
The system incorporates feedback mechanisms where the simulation continuously monitors entity positions, environmental factors, and communication states, then uses this information to adjust traffic generation parameters in real-time. This closed-loop approach ensures that traffic hypotheses remain synchronized with actual simulation conditions, improving accuracy without requiring complex manual configuration.
2Device complexity
If periodic traffic generated by automaton programs is used, then the simulation process is simplified, but the realism of entity behaviors during simulation deteriorates
Solution Approach 1:
Entities in the simulation are equipped with autonomous decision-making capabilities that allow them to self-generate traffic based on their operational roles, positions, and environmental context. Rather than relying on external automaton programs to impose periodic traffic patterns, each entity independently determines its communication needs and generates appropriate traffic, resulting in more realistic and behaviorally accurate simulations.
3Measurement precision
If the simulation considers dynamic entity behaviors and environmental factors, then the accuracy of communication state simulation is improved, but the computational complexity increases
Solution Approach 1:
The simulation system divides the operational area into discrete zones and segments entity behaviors into standardized patterns. By spatially segmenting the environment and temporally segmenting traffic generation into discrete events rather than continuous computation, the system reduces computational complexity while maintaining accuracy in modeling communication states under dynamic conditions.
Data Source
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AI summary
The installation for simulating the state of radio communications between entities includes an entity generator (220) for defining a set of entities involved in the operation and an entity state base (201) grouping, at each instant, the covering state of each entity; means (240) for developing a scenario to describe the sequence of actions to be carried out in the operation and a scenario state base (241) grouping at each instant the current state of the scenario; a radio traffic generator (260) for simulating radio traffic between the different entities; a central module (200) for simulating the operation to execute the scenario and define the consequences of the actions planned by the scenario and to integrate these consequences into the continuation of the scenario; and a module (520) for rendering the state, over time, of the radio communications between entities involved in the simulated operation.The central simulation module (200) is designed to execute the scenario according to the state, over time, of the radio communication traffic between engaged entities, as simulated by the radio traffic generator (260), and the installation includes means (440) for modifying the scenario in the scenario state base (241), according to the state of the scenario executed by the central simulation module (200) and taking into account the state of the communication traffic.