Atoll rf planning tool crack

The defined zone can be deleted, edited, and exported if desired. The new study is added in the Predictions folder. Check the box on the left of the study to show the results. Shadowing and indoor coverage can be set In LTE, RSRP is used, which is defined as the average of power levels received across all Reference Signal symbols within the considered measurement frequency bandwidth.

S-Syn P-Syn Ref. Settings Name the prediction study, define the resolution Define display type and field Depending on the prediction, settings on terminal, mobility service, and MC simulation results may be needed. Statistics Select a prediction, right click and then generate Histogram or report.

Margin is changed here Hence, the allocated BW throughput is different from the cell capacity. Share Prediction Studies in Projects It might be necessary to run same coverage prediction studies such as RS signal level, CINR and use the same settings such as required cell edge probability, service for the prediction, legend for different markets. In this case, the predictions can be shared so save time and maintain the consistence cross markets.

We show how to import this list into a project in next page. Enable the 1st check box if you want to remove all of the existing predictions. Click OK and the list is imported. Run Imported Predictions The imported predictions are empty and locked. Monte Carlo Simulation Define Traffic Maps MC simulation needs traffic maps.

The following types of traffic maps can be used in Atoll. The OMC collects data from all cells in a network. This includes, for example, the number of users or the throughput in each cell and the traffic characteristics related to different services. Traffic is spread over the best server coverage area of each transmitter and each coverage area is assigned either the throughputs in the uplink and in the downlink or the number of users per activity status.

This can be used if you have marketing-based traffic data. Traffic maps per density of user profiles, where each vector polygon, line or point describes subscriber densities or numbers of subscribers for points with user profiles and mobility types, and traffic maps per environment of user profiles, where each pixel has an assigned environment class.

This can be used if you have population-based traffic data, or 2G network statistics. Each pixel has an actual user density assigned. This traffic map will be used in the following MC simulation example. In the new window, select Type 1, press the button for Polygon, and then draw a polygon for the map areas where the traffic needs to be distributed. Perform MC Simulations Multiple simulations can be defined at one time.

Multiple simulations result in better statitics. Click OK in any tab to start simultion Individual Simulation Results In this example, mobiles in various status in Simulation 4 are displayed Individual Simulation Results Double click Simulation 4 to access the simulation results.

In this case, the Mobiles tab is not available Simulation Results on Cell Level The cell level simulation results may be most interesting in both individual simulation or group of simulation. The information such as cell UL and DL load, UL noise rise, throughput per service or cell capacity on different layers can be found in this table. Note: the average cell results render better statistics than individual simulation. The assumption can be given in the Cells table discussed earlier.

However, how do we know if the assumption makes sense for a given traffic profile? By selecting the Load Conditions for a prediction, we can use either the assumption from Cells table, or the desired simulation results as the DL load and UL noise rise for prediction Cells table Simulation results Atoll ACP However, a separated license for ACP is required.

Groups of candidate sites can also be defined, which provides the possibility of selecting a minimum and maximum number of sites to add within each group By minimizing the global cost function, the ACP tries to optimize the network.

Summary of improvement The suggested changes are ranked based on improvement Improvement up to the number of changes Instead, the capacity gain will be considered due to 2 code streams. As such they were willing to invest in Wireless RF Network Design and Optimisation planning tools that are vendor agnostic. ATOLL RF Network Planning, Design, Optimisation Software developed by Forsk , is a wireless network design and optimisation platform that supports wireless operators throughout the network lifecycle, from initial design to densification and optimisation.

High Performance GIS Atoll incorporates a high-performance built-in geographic information system GIS exclusively designed for radio network planning and optimisation.

Network Design and Optimisation. Engineering Services. By Segment. Network Operators. OEM Equipment Vendors. System Integrators. Atoll Highlights Atoll uniquely combines architectural and functional features that provide operators with a powerful, scalable, and flexible framework for streamlining their network design and optimisation processes.

Prediction and Measurement-based Planning and Optimisation Atoll offers unique capabilities of using both predictions and live network data throughout the network planning and optimisation process. Atoll 3. Atoll Brochure Click here to download Atoll 3. Attend our next Webinar! Atoll - the RF planning tool. Wireless Network Engineering Software version 3. Atoll Microwave is a comprehensive Microwave Link planning tool.

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