Atoll was the first LTE network planning software on the market. Today, Atoll offers a powerful platform for operators to plan and optimise LTE-A Pro and 5G NR networks.
Atoll supports integrated network planning for multi-RAT networks. It features a multi-technology network database, a unified traffic model, a combined Monte Carlo simulator, and a multi-RAT ACP (Automatic Cell Planning) module. Atoll provides operators with a comprehensive and evolutionary framework for planning and optimising multi-technology networks including small cells, integrated Wi-Fi, and IoT.

LTE Network Modelling
- Support for all LTE frequency bands and carrier configurations
- Comprehensive support for FD- and TD-LTE
- Support for multi-layer network deployment scenarios
- Support for intra- and inter-band carrier aggregation
- Support for coordinated multipoint (CoMP) transmission and reception
- Support for C-RAN architecture
- Support for donor and relay nodes
- Support for eICIC and ICIC
- Advanced bearer and service modelling
- FD-MIMO, massive MIMO: SU-MIMO, MU-MIMO, and transmit/receive diversity
- FD-MIMO 3D beamforming
LTE Traffic Modelling
- Modelling of voice and data services with different QCIs
- Modelling of UE categories, user equipment, user profiles, and traffic environments
- Multi-service raster and vector traffic demand maps from multiple sources including traffic data from live network measurements
- Fixed subscriber traffic modelling
LTE Simulation and Analysis
Atoll advanced LTE Monte Carlo simulator including RRM power control, interference control, inter-cell coordination, aggregation, and backhaul (S1) capacity constraints allows for a detailed modelling of LTE networks.
Generation of prediction plots, based on simulation results or on cell load figures from the live network including :
- Cell and network coverage analysis
- Downlink and uplink interference analysis
- Downlink and uplink service areas
- Effective service areas
- Downlink and uplink throughputs
- Downlink and uplink quality indicator analyses
- PCI, PSS ID, SSS ID, and PRACH RSI collisions
- Coverage plots combining predicted and measured values from live network KPIs and UE/cell/MDT traces.
Neighbour Planning
- Manual and automatic multi-frequency and multi-layer neighbour planning
- Hybrid neighbour allocation process based on predictions and live network data
Interference Matrices
- Prediction-based interference matrices
- Open format allowing import of measurement-based interference matrices and editing interference matrices using 3rd party applications
Multi-RAT Network Planning
Integrated planning and optimisation for 4G LTE with 5G NR, 4G NB-IoT, 3G UMTS, and 2G GSM
- Unified network databases with site and antenna sharing
- Unified multi-service traffic model
- Combined Monte Carlo simulator
- Simultaneous display and analysis of network layers
- Inter-technology handover modelling
- Inter-technology interference analysis
Automatic Frequency Planning - AFP (option)
- User-definable constraints and flexible cost function
- Hybrid allocation process based on predictions and live network data (neighbours, handover KPIs, interference matrices, etc.)
- Allocation of frequency channels and fractional frequency planning (FFP)
- Automatic PCI planning considering PSS, SSS, RS, UL DMRS, and PCFICH collisions
- Automatic PRACH RSI planning
Automatic Cell Planning - ACP (option)
- Automatic optimisation of network coverage and capacity
- Site selection and activation for greenfield and densification scenarios
- Identification of critical network zones and high-traffic areas using live network KPIs and UE/cell/MDT traces
- Advanced radio coverage, quality, as well as capacity and throughput objectives
- Antenna selection and parameter optimisation (height, azimuth & tilt)
Automatic Site Positioning - ASP (option)
- Automatic creation of new site locations according to surface-wise, traffic-oriented and population-based coverage objectives
- Site deployment in multiple zones (urban, suburban, rural, etc.), along roads and railways
- Intelligent implementation plan with the selection of the best sites to deploy