Atoll includes an advanced multi-technology Automatic Cell Planning (ACP) module that provides integrated network optimisation functions in the standard Atoll user interface. All ACP data and results are stored in the Atoll project files and databases.

The Atoll ACP (Automatic Cell Planning) module enables radio network design engineers to carry out macro as well as small cell site selection and have network parameters optimised for improved coverage and capacity.

Atoll ACP is available for 5G NR, 4G LTE and NB-IoT, 3G UMTS, 2G GSM, and also for CDMA, WiMAX, Wi-Fi, and LPWA/IoT technologies.

It supports combined 5G NR/4G LTE/NB-IoT/UMTS/GSM and 5G NR/4G LTE/NB-IoT/CDMA optimisation together with small cells and Wi-Fi.

Optimisation Objectives

  • Coverage improvement
  • Capacity enhancement
  • Traffic distribution and throughput maximisation
  • Service quality optimisation
  • Interference reduction
  • Carrier aggregation
  • Multi-storey optimisation
  • EMF (electromagnetic field) exposure mitigation
  • LPWA/IoT server redundancy
  • Site selection and network reconfiguration costs

Optimised Network Parameters

  • Passive and active beamforming antennas
  • Antenna heights
  • Antenna azimuths, e-tilts, and m-tilts
  • Cell transmit powers
  • Cell on/off
  • Repeater amplifier gains

Site Selection

  • Macro site selection for RAT overlay, e.g., 5G NR on top 4G LTE
  • Densification with small cell site selection
  • Site selection for decommissioning
  • Automatic site placement for greenfield networks

Multi-RAT Network Optimisation

  • Combined 5G/4G/3G/2G optimisation objectives
  • Multi-technology synchronised parameter reconfiguration
  • Simultaneous display and analysis of multi-RAT optimisation results

Optimisation Control

  • Flexible multi-technology objective definition
  • User-defined cost function including criteria weighting
  • Combination of clutter-dependent and area-dependent thresholds
  • Determination of critical network regions using live network KPIs
  • Pixel-wise geographic weighting of objectives based on traffic maps and UE/cell/MDT traces from live network
  • Assessment of implementation cost by parameter change
  • Progressive evaluation of improvement (gains vs. losses)

Optimisation Results

  • Implementation changes ranked by potential network improvement
  • Complete set of prediction plots for change and improvement analysis
  • Storage of multiple optimisation plans for comparison


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