Products »

Smart Strategic Planner for NGA & Transport Networks

A tool for business case analysis & techno-economic decisions and high-level planning for telecommunication service providers.

NETvisor’s Smart Strategic Planner (SSP) is a GIS-based strategic network-planning tool to support business case analysis and techno-economic decisions for telecommunication service providers. SSP provides detailed BOM (Bill of Materials) information and an HLD (High-Level Design) technical plan that is input to the LLD (Low-Level Design).

SSP has two main modules. SSP for NGA is used to design new generation access networks and SSP for Transport is a tool for the design of transport (aggregation and core) networks.



SSP for Transport

SSP for Transport





Smart Strategic Planner for NGA Networks

SSP for NGA is an FTTx strategic network planning and cost evaluation tool to support business case analysis and techno-economic decisions for telecommunication service providers. SSP for NGA fills in a gap between FTTx roll-out decisions and network planning. Up to now there was no cost-conscious support solution for strategic decisions on FTTx deployment.

Smart Strategic Planner

SSP for NGA can determine the optimal FTTx architecture for largescale scenarios, allowing decision-makers to choose the most cost-effective solution from among the various topological and technology alternatives.

SSP for NGA is highly customizable to comply with various network topology standards and regulations and to use sophisticated cost models. The built-in optimization engine currently supports Point-to-Point, multi-leveled GPON, HFC, AETH and VDSL access network technologies with high efficiency and accuracy. The provided API can be used to extend support for different systems, i.e. for external optimization engines.

The framework gathers the necessary information from the available GIS data for its optimization engine and visualizes the suggested network design. Along with each design alternative, detailed deployment costs are immediately available, i.e., to the level of trenching, equipment placement and cabling that can be used for techno-economic decisions.

The results can be automatically converted to the appropriate GIS database objects, saving a huge amount of time for the designers in detailed engineering and creating the network inventory itself. The strategic plan stores all the details to the level of cabling, including cable splicing configurations.

SSP for NGA has a built-in reporting module besides the detailed visualization to summarize the optimized results in tabular format. The reports can be used to evaluate the current optimization results and compare it to other solutions. Since the format of these reports is common, decisions on different technologies and price comparisons on different vendors’ equipment sets can be assisted.

SSP for Transport

Smart Strategic Planner for Transport Networks 

SSP for Transport is a multi-layer network design system based on a general network descriptor model using different network optimization and evaluation algorithms and is easy to adapt to any specific tasks.

Application of SSP for Transport

Application of SSP for Transport (integrated into NETPlanners Portal)

SSP for Transport provides a generic network layer model and node architecture model for accurate modeling and algorithmic design of various network infrastructures. The different network layers (track, cable, fiber, lambda, IP link) and node objects (manhole, cable join, fiber join, building, frame, equipment, port) are recorded in a GIS model based on the standardized network description. The network description allows efficient network planning supported by algorithms, development of multiple design versions and their rapid technical and economic evaluation.

Design algorithms allow one or two-way demand routing in any network layers on network links with limited or unlimited capacity. SSP for Transport can provide fault tolerant demand routing by handling all network layers taking into account the dependencies of the layers participating in the realization of the given demand (SRLG). This solution can provide the required availability at the transmission technology level in case of any network component failure and highlights the problem areas of the network topological structure. The algorithm package is of particular importance when designing networks facing high availability requirements (e.g., GSMR), where it is always necessary to prevent the effect of any single component failure.

The planning methodology of SSP for Transport supports bottom-up design by specifying cable/fiber optic/IP links/bandwidth demand routing and follows a layer-to-layer design concept. In case of top-down design, the optimization algorithms take the transport requirements, the possible tracks, and equipment locations and determines the IP/DWDM links and their features as well as their associated fiber and cable routing.

The assessment of the planned network is supported by several data relating to determining CAPEX, DTR (Down Time Ratio), vulnerability, network device capabilities (DWDM, IP), cable types and lengths, utilization rates, etc.

Key features of SSP


  • SSP helps engineers to find the optimal network design strategy.
  • SSP speeds up the NGA and Transport network planning and deployment process.
  • It quickly and cost-effectively determines the exact costs of network deployment for a specific region.
  • Detailed GIS-based plans and cost calculations (detailed BOM and CAPEX reports) are available for equipment and construction procurements and the overall project management of the implementation.
  • Due to its flexible architecture, SSP can support future technologies, regional regulations, and provider-specific requirements.

Input data

  • Digital map
  • Existing infrastructure
  • Subscriber/Transport layer demands
  • Technology and cost parameters

The output of the optimization for NGA networks

  • Automatic grouping of access service endpoints into cells served by given distribution units
  • Placing of serving structures, e.g. manholes and distribution units
  • Design of feeder and distribution routes connecting the new serving structures to the existing network
  • Design of all cable and routing paths
  • Calculation of drop cabling needs and splicing plans

The output of the optimization for Transport networks

  • Capacity and structure plan of the cable network
  • Equipment and equipment port allocation, fiber routing
  • DWDM link plan
  • Connection demand routes fulfilling  design (availability) requirements
  • Capacity plan for link sections
  • DTR calculation
  • High-level component (e.g. link, equipment, port) vulnerability and utilization
  • Planning and implementation monitoring
  • Collaboration support for different network development activities (duct and cable planning, radio cell design, transport network planning)
  • Generic data structure definition allowing migration to GIS-based inventories