Mobile Network Resource Simulation via Dynamic Cell Segmentation
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Solution Overview
Problem
Current mobile telephony networks face challenges in dynamically managing radio resources and ensuring quality of service due to varying transmission rates and complex interference patterns, especially with the introduction of high-bandwidth services in 3G systems, as existing solutions lack dynamic control and are computationally intensive or static in nature.
Innovation Solution
A method for simulating and optimizing resource use in mobile networks that involves defining disturbances in packet transmission, selecting affected cells, and using routing algorithms to optimize resource allocation, including multiplexing parameters and power distribution, while controlling interference and load balancing across cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If statistical forecasting methods (Monte Carlo) are used for network traffic simulation, then resource management can be performed, but the solutions are static and do not account for temporal dynamics of communications
Solution Approach 1:
The patent implements a dynamic simulation method that processes communication events in chronological order, updating network state and resource allocation in real-time as events occur. This replaces static statistical forecasting with a dynamic model that adapts to temporal variations in communication patterns, allowing the system to respond to changing network conditions while maintaining reliable resource management.
2Adaptability or versatility
If dynamic simulation of communications is implemented, then temporal dynamics are captured, but computational resources required are excessive for large-scale networks
Solution Approach 1:
The patent segments the network simulation into independent cellular units, each with its own state and resource allocation. Events are processed locally within cells rather than requiring global network simulation, significantly reducing computational complexity. This segmentation allows dynamic simulation of temporal dynamics to be performed efficiently even in large-scale networks by dividing the problem into manageable cellular components.
3Reliability
If centralized cost function optimization is used, then network performance can be improved, but the solutions rely on static parameters without realistic distribution of communications
Solution Approach 1:
The patent performs preliminary actions by pre-calculating and storing optimal resource allocation strategies for various communication scenarios and traffic patterns. During simulation, these pre-computed solutions are retrieved and applied based on current network conditions, allowing the system to maintain high performance while adapting to realistic dynamic communication distributions without requiring complex real-time optimization calculations.
Data Source
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AI summary
The method involves defining interference, in transmitting data packets (P) within a mobile telephone network (RT), using an event management module (EM) from a statistical distribution map (CR). A set of cells defining a simulated zone is selected using a resource utilization control module (CL). A path algorithm is used to define a path of the zone and to successively optimize resources of servers (ER). Data representative of a parameter relative to the transmission of packets within each cell is defined using the management module.