What are the benefits and drawbacks of using predictive vs. active WLAN site surveys?

1 Predictive site survey

A predictive site survey is a computer simulation that uses software tools and mathematical models to estimate the coverage, performance, and interference of a WLAN. This survey can save you time and money by allowing you to plan your WLAN deployment without physically visiting the site or measuring the signal strength. However, it is important to note that a predictive site survey has some limitations, such as not accounting for dynamic sources of interference, human activity, or environmental changes. Additionally, it may rely on outdated data, such as floor plans, AP specifications, or antenna patterns. Lastly, it may require a high level of skill and experience to properly calibrate the software parameters and interpret the results.

2 Active site survey

An active site survey is a field measurement that involves a wireless device and a software tool to collect and analyze data from the WLAN environment. This type of survey can provide more accurate and realistic information on signal strength, noise level, data rate, and quality of service (QoS). However, it may take more time and resources, as well as require a high level of skill and experience to conduct the survey properly. Variations in the WLAN conditions, such as the number of users, the type of traffic, or the location of the device and the tool, can also affect an active site survey. Ultimately, an active site survey can be used to validate your WLAN design after installation or troubleshoot WLAN issues.

3 Hybrid site survey

A hybrid site survey is a combination of predictive and active site surveys that leverages the strengths of both methods. This type of survey can optimize WLAN design and performance by creating a baseline with the predictive survey and fine-tuning and verifying it with the active survey. Although a hybrid site survey can offer the best of both worlds, it may require more coordination and integration due to different tools and data formats for the predictive and active surveys. Additionally, there may be complexity and uncertainty when reconciling differences between the two surveys, as well as a need to ensure that the tools and data are reliable and consistent.