A Cover Model in Overture is used to determine the probability of coverage at a particular location. Cover models are used by Statistic Data Providers and by the Cover Probability component.

Accessing the Cover Model collection

You can access the collection of cover models from the Analysis > Cover Models > Edit List menu option:

This launches the cover model collection editor:

Types of Cover Model

Overture has several different types of cover model. The available types can be seen if you select the Add button. Details of each type are below

• Cover Combiner. This allows you to combine two or more cover providers. This can be useful if you want the cover probability to take account of several factors. For example, you could use this to set up a cover model where a bin would be considered covered only if the CINR and the RSSI had achieved their respective targets. The Operation property controls how the probabilities from the various components are combined.
• Distance Limited. This allows you to set the cover probability to be dependent on the distance from the server. The probability is controlled by the Radius and Standard Deviation, such that the probability of coverage is 100% at the server, 50% at the Radius distance and 0% at infinity. The fall-off in probability is controlled by the Standard Deviation, where a smaller value indicates a steeper falloff.
• Quality Coverage. This allows you to set the cover probability to be proportional to the CINR value. The probability is controlled by two parameters: Target and Standard Deviation. The cover probability is defined to be 0 when the CINR is negative infinity (in dB), 50% at the target value and 100% when the CINR is infinite. The fall-off in probability is controlled by the Standard Deviation, where a smaller value indicates a steeper falloff.
• Signal Coverage. This allows you to set the cover probability to be proportional to the signal value. The probability is controlled by two parameters: the Threshold, which is a Power data source, and the Standard Deviation. For any given location, the Threshold property is queried to discover the threshold to use. The cover probability is defined to be 50% when the signal is equal to the threshold value, to be 0% when there is no signal and 100% when the signal is infinitely strong. The fall-off in probability is controlled by the Standard Deviation, where a smaller value indicates a steeper falloff.