Wireless Network Planning Tool for High-Speed Data Channel Simulation
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Solution Overview
Problem
Existing wireless network planning tools fail to accurately model and simulate the impact of high-speed data channels on the quality of service and traffic capacity of CDMA-based services, particularly in networks using cdma2000 EV-DO, cdma2000 EV-DV, or WCDMA HSDPA, which share radio carriers with other voice and data services.
Innovation Solution
The development of tools and methods to model and simulate high-speed data channels, including traffic scheduling functions, allowing for the estimation of quality of service and capacity of high-speed data channels and their impact on other services, by assigning output power values, distributing user equipment units, determining transmit power, calculating interference, and determining high-speed downlink packet service data rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing wireless network planning tools are used to model CDMA-based services, then the tools can plan voice and data services, but they fail to accurately model and simulate the impact of high-speed data channels on quality of service and traffic capacity
Solution Approach 1:
The planning tool is enhanced to perform multiple functions: it can model both traditional CDMA-based voice and data services alongside high-speed data channels (HSDPA, EV-DO) on the same radio carrier. The tool integrates simulation capabilities for different service types and their interactions, enabling comprehensive network planning that accommodates both legacy and advanced data services without requiring separate analysis tools.
Solution Approach 2:
The tool incorporates dynamic parameter adjustments to accurately represent varying service conditions. It can modify propagation models, traffic patterns, power allocation, and scheduling parameters to reflect the specific characteristics of high-speed data channels versus traditional CDMA services. This allows precise estimation of quality of service and traffic capacity under different operational scenarios.
2Productivity
If high-speed data channels share radio carriers with voice and data services, then spectrum utilization increases, but interference between services complicates the network simulation
Solution Approach 1:
The simulation framework divides the radio carrier into distinct service segments, allowing separate modeling of high-speed data channels and traditional CDMA services. Each service type can be simulated with its own parameters and interference characteristics. The tool segments the analysis to calculate interference between different service types systematically, managing complexity through structured decomposition of the simulation problem.
Solution Approach 2:
The planning tool acts as an intermediary that manages the complexity of multi-service simulation. It provides standardized interfaces for inputting service parameters, automatically calculates interference between services, and generates quality of service estimates. The tool mediates between the user's planning needs and the complex underlying simulation mathematics, abstracting away the complexity while maintaining accuracy.
3Measurement precision
If Monte Carlo simulation is used to analyze CDMA networks, then accurate interference prediction is achieved, but the simulation process becomes time-consuming
Solution Approach 1:
The tool implements partial Monte Carlo simulation by performing a limited number of random trials sufficient to achieve acceptable statistical accuracy. Instead of exhaustive simulation, it uses strategically sampled scenarios that capture the essential interference patterns. This partial action approach maintains reasonable prediction accuracy while significantly reducing the time required compared to full Monte Carlo simulation.
Solution Approach 2:
The planning tool replaces extensive mechanical Monte Carlo simulation with enhanced analytical calculation methods. It uses propagation models and interference calculations that are computationally more efficient than random simulation. The tool substitutes brute-force simulation with optimized mathematical models that achieve similar or better prediction accuracy with much faster execution times.
Data Source
AI summary
Tools and methods are provided to model and simulate the high-speed data channel and the traffic scheduling function, and tools and methods to simultaneously simulate the high-speed data channel and other voice and data services sharing the same radio carrier. The tools and methods estimate the quality of service and the capacity of the high-speed data channel, and also estimate the impact of the high-speed data channels on the quality of service and traffic capacity of other voice and data services on the same radio channel. The tools and method can be used in a wireless network planning tool to analyze a network that uses a radio carrier exclusively for high-speed data channels, such as cdma2000 EV-DO. The tools and method can also be used to analyze a network that combines high-speed data channels and CDMA based services on the same radio carrier, such as cdma2000 EV-DV or WCDMA HSDPA.