Multilayer RF Resolution Maps for Wireless Network Simulation
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Solution Overview
Problem
Deploying and optimizing wireless network components is complex due to various factors affecting radio frequency propagation, such as user equipment speed and location, which existing single radio frequency maps fail to accurately account for, leading to suboptimal configuration and performance.
Innovation Solution
The use of multilayer radio frequency resolution maps that account for different user equipment speeds and radio frequencies, allowing for more precise simulation and configuration of wireless networks by selecting the appropriate resolution map based on specific conditions, such as user equipment speed and location, to improve signal strength and communication efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single radio frequency map is used for simulation, then the device complexity is reduced, but the measurement precision of radio frequency propagation conditions deteriorates
Solution Approach 1:
The patent segments the radio frequency propagation environment into multiple resolution maps, each representing different propagation conditions (e.g., line-of-sight, non-line-of-sight, urban, rural). This allows the system to maintain lower complexity by using simpler maps while achieving higher precision by selecting the appropriate map segment for each specific scenario.
Solution Approach 2:
Different resolution maps provide locally optimized propagation characteristics for specific environments. Each map is tailored to represent radio frequency behavior in particular conditions (e.g., high-resolution maps for urban areas, lower-resolution maps for open areas), ensuring measurement precision is improved locally without requiring all areas to use high-resolution maps, thus controlling overall system complexity.
2Measurement precision
If multiple resolution maps are used to account for different user equipment speeds and radio frequencies, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The system dynamically selects appropriate resolution maps based on real-time conditions such as user equipment speed and radio frequency. This dynamic adaptation allows the system to maintain high measurement precision by using detailed maps when needed (e.g., for high-speed移动 scenarios) while reducing complexity by using simpler maps for stable, low-speed scenarios.
Solution Approach 2:
The patent changes key parameters (user equipment speed, radio frequency, location) to determine which resolution map to apply. By monitoring these parameters and switching between maps accordingly, the system achieves high measurement precision across varying conditions without permanently maintaining the complexity of all possible map configurations simultaneously.
3Adaptability or versatility
If resolution maps are selected based on user equipment speed and location, then the adaptability improves, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system implements feedback mechanisms that continuously monitor user equipment speed, location, and radio frequency conditions. This feedback loop automatically triggers the selection of appropriate resolution maps, improving adaptability while managing measurement difficulty through automated decision-making rather than manual configuration.
Solution Approach 2:
The resolution map selection process is made self-service through automated algorithms that independently determine the appropriate map based on current parameters. This reduces the burden on operators to manually detect and measure all conditions, as the system performs these measurements and selections autonomously, thereby improving adaptability without proportionally increasing operational complexity.
Data Source
AI summary
One or more computing devices, systems, and/or methods for simulating wireless networks using multilayer radio frequency resolution maps are provided. A set of resolution maps are selected from a plurality of resolution maps based upon the set of resolution maps corresponding to a speed of emulated user equipment traveling during a simulation of a wireless network or a radio frequency used by the emulated user equipment. A geographical location of the emulated user equipment in a geographical map is translated to a grid location in the set of resolution maps. The emulated user equipment is provided with a cell list at the grid location and signal strengths derived from the set of resolution maps at a given radio frequency and the speed. The emulated user equipment utilizes the cell list and the signal strengths to select and connect to a cell site within the cell list.