Insights / Software Intensive Networks

Making smarter network investment decisions

Build an open-source network capacity planning framework to accelerate the network decisions by 3X

The network complexity of the service providers in the connectedness industry is ever increasing. The introduction of 5G on top of legacy 2G and 3G networks, coupled with increasing customer expectations, imposes tremendous pressure on the service providers. They often struggle with complex networks, dissimilar data, and inefficient visualization of the inventories, which impacts network capacity planning. Some of the main challenges in conventional network capacity planning are:

  • Increasing inefficiencies in network planning due to rapid network expansions and complex networks
  • Difficulty in visualizing and monitoring the networks and their components due to the rapid expansion of networks
  • Difficulty in consolidating data, as the service provider’s network inventory data is scattered and retrieved from different types of vendor network equipment
  • Increased licensing, hardware, and customization costs for the service providers who use COTS products for network visualization

These challenges impact the service provider’s operations leading to ineffective network capacity planning, delays in new network design and rollout, and inefficient network and resource utilization.

While many service providers depend on COTS products to address these challenges in the unified visualization and capacity planning process, it is recommended to consider an open-source approach that enables efficient and cost-effective capacity planning.

Fig. Build an open-source framework to ease and accelerate network capacity planning decisions

The introduction of 5G on top of legacy 2G and 3G networks, coupled with the increasing customer expectations imposes tremendous pressure on the service providers.

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