Self Organizing Network

Automate network configuration and performance optimization with the Self-Organizing Network (SON) solution

Zero-touch networks are now a reality with the SON solution from Innovile.

Innovile’s SON solution works across 2G, 3G, 4G, and 5G network architectures from any equipment vendor with predefined interfaces and connectors to integrate with any network or software component. The SON solution utilizes proprietary algorithms and Artificial Intelligence (AI) to continuously track and adjust network configuration and parameters. Innovile’s SON solution can be used for network operations augmentation or full automation: zero-touch networks. Simple, flexible, cost-effective automation.

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Multi-vendor, multi-technology

Our centralized or hybrid SON solution integrates with any vendor and tech stack. Including any existing network optimization components in play. Simplify and unify your network management with a single Self-Organizing Network solution.

Improve customer experience

Proprietary algorithms and artificial intelligence continuously optimize network configuration. Improve quality, reduce complaints, and keep your customers happy. Reduce dropped calls and connectivity failures by up to 20%.

Extend capacity, reduce CAPEX

Automated network configuration releases hidden capacity to reduce your investment costs. Don’t waste money on unnecessary network expansion. Gain up to 25% more capacity and 30% more throughput with the SON solution.

Automate to reduce OPEX

The SON solution reduces manual effort and optimizes energy consumption. Automated network configuration lets you redeploy valuable network engineering expertise and reduce energy costs. Immediate bottom-line impact.

What is a Self-Organizing Network (SON)?

Self-Organizing Network Definition: A set of components and functions that automate network configuration, performance optimization, fault diagnostics, and self-healing of mobile telecoms/cellular networks at the macro-and micro-level.

Self-Organizing Network Overview: As networks evolve, equipment and software vendors increasingly recognize the need to help Mobile Network Operators (MNOs) reduce network management complexity and costs. SON automates some or all of the activities necessary to optimize quality and cost in delivering service to customers. Although vendors often provide their own SON components, multi-technology, multi-vendor deployments often require an Independent Software Vendor (ISV) like Innovile to ensure a truly optimized cross-network state of simplified control.

What are the types of Self-Organizing Networks?

In general, there are three types of SON:

1. Distributed SON is where numerous components appear across the network and these are often provided by the equipment vendors. A distributed SON usually has the advantage of utilizing real-time data from within its deployment architecture meaning near-real-time actions are possible for immediate results. However, distributed SON components may not integrate or collaborate across technologies or vendors to determine and achieve true network optimization status.

2. Centralized SON is where a SON solution sits across multiple network components to analyze data and manage changes holistically. A centralized SON can analyze and optimize at the ‘big-picture’ level meaning overall results are generally better than multiple separate distributed components.

3. Hybrid SON is where both distributed and centralized SON components are deployed, with the centralized SON taking lead control across the network. The Hybrid SON solution approach tends to work very well, utilizing vendor-specific tools as well as ISV innovation to optimize the whole network within agreed policies and rules.

Innovile’s SON solution is technology and vendor agnostic and so tends to be deployed as a centralized or hybrid SON.

What does a Self-Organizing Network do? What benefits does SON bring?

SON works at both macro-and micro-levels in the mobile network. Broad configuration settings generally apply to major policies and tend to change less frequently. Specific component or function settings may be changed more frequently to optimize performance or heal problems in near-real-time. The degree of automation can be set and managed from low (manual interventions designed-in) to fully automated (zero-touch) networks. Often, low automation evolves towards full automation as confidence in the algorithms and results are proven: the SON tuning curve.

Most Mobile Network Operators (MNOs) carry legacy technology and often employ more than one network vendor. With the increasing complexity of mobile networks, SON enables an MNO to automatically deliver optimum quality and capacity of infrastructure and network operations. This means that network quality is sustained at a lower cost, improving return on investment.

Proven SON benefits include:

  • Reduce OPEX and CAPEX, improving ROI
  • Increase network capacity by up to 25%
  • Decrease dropped call and connectivity-failure rate by up to 20%
  • Significant throughput improvements 15%-30%
  • Energy savings up to 5%
  • Single dashboard and near-real-time view of all network components for total control

The leading Self-Organizing Network solution from Innovile

Innovile’s leading Self-Organizing Network (SON) solution simplifies multi-technology and multi-vendor network management. Automated network configuration at macro-and micro-levels ensures network performance optimization 24×7. Efficient and skilled delivery to ensure rapid results. Proven with the world’s largest SON deployment.

Self-Organizing Network
solution architecture and modules

Automatic Neighbor Relation

Automatic Neighbor Relations (ANR) enables automated configuration of cell relations at the base station level. ANR coordinates the addition and removal of elements and changes to settings to optimize network quality and capacity.

Configuration Consistency Audit and Correction (CAC)

Configuration Consistency Audit and Correction (CAC) tracks network settings for inconsistencies and automatically corrects them when needed. Includes external cell and blind handover definitions, LAC and TAC compliance, frequency priority check, BCCH group filling, duplicate neighbors and objects, and more.

Capacity and Coverage Optimization (CCO)

Capacity and Coverage Optimization (CCO) focuses on an analysis of network optimizations such as over- and undershooting cells, congestion points, LAC/TAC Assignments, and cross feeders. Automated adjustments can then be made to optimize, for example, cell tilt-angles to optimize signal strength. In manual mode, recommendations are listed for human review and application.

Mobility Robustness Optimization

Mobility Robustness Optimization (MRO) optimizes the cell-to-cell handover of user devices, idle mode, and cell-reselection parameters. MRO improves dropped call/connection and handover (HO) rates whilst managing standby, influence, or interference challenges.

Self-Healing (SH)

Self-Healing (SH) combines Fault Management (FM) and Performance Management (PM) components to detect and manage network performance degradation. Includes automated reset option for sleeping cells, anomaly detection for KPIs, and cell outage compensation.

Mobility Load Balancing (DLB)

Mobility Load Balancing (MLB) enables automated analysis and adjustment of traffic settings to optimize throughout and power utilization aligning to network policy. Frequent data capture and analysis compares new test settings and performance to previous settings and either maintains new or roll-back settings to ensure the best performance. Ideal for managing network congestion.

Automatic Plug-and-Play Optimization (APO)

Automatic Plug-and-Play Optimization (APO) simplifies and optimizes new cell site setup by aligning settings considering the location, neighbor performance, codes, and parameters to best-performance state.

Code Optimization (CO)

Code Optimization (CO) manages interference and code usage via automated algorithms applying changes to parameters such as BCCH/BSIC, TCH, PSC, PCI, and RSI.

Energy Saving (ES)

Energy Saving (ES) utilizes historic data to predict usage and adjust or suspend cells/carriers to save energy.

Special Event Management (SEM)

Special Event Management (SEM) operates in near-real-time and ensures optimum load and quality management during peak-demand events such as football games, concerts, or emergencies.

User Centric Optimization (UCO)

User-Centric Optimization (UCO) enables user or group analysis and special settings to tune the performance of that user or group to desired levels.

Using Artificial Intelligence in optimizing mobile telecoms networks

Artificial Intelligence (AI) is ideal to analyze large volumes of network data and apply learning that evolves as knowledge improves. Human analysis is challenging with the volume of data and network complexity involved. Continuous application of proprietary algorithms and machine learning-based AI enables self-optimizing network configuration. Improvements can be automatically applied via Innovile’s comprehensive interfaces or used for manual review and application by the Network Operations Centre (NOC) or Network Engineering functions. Our AI-empowered SON solution enables zero-touch networks.


Design and Delivery of the Self-Organizing Network solution

Careful design and implementation is needed to ensure the optimum application of any SON solution. Innovile’s deep domain expertise is used in every project to help clients define and plan the best architecture, rollout plan, and optimization strategy.

Always in close partnership with client resources, Innovile works quickly to prioritize implementation stages and configure connectors to the client’s network architecture. Network management policies and parameters are reviewed and fine-tuned accounting for benchmarked improvements known to be possible by when implementing the SON solution.

Phased rollout is used to test-and-train algorithms and AI to quickly align to the client’s chosen level of network autonomy. Following implementation, training and support services ensure optimized use. Or Innovile’s cost-effective Managed Services are used to maintain SON enabling the client to redeploy resources to other priority areas.

Self-Organizing Network solution use cases and references

Innovile’s SON solution is immensely scalable as demonstrated by the world’s largest Tier-1 SON deployment in Russia. Covering six time zones, more than 1 million network elements, and 80 million customers, this complex project resulted in great network alignment and performance improvements. Innovile remains the partner of choice to continue to optimize this vast network as it evolves across its distributed operations.

Combined solutions for maximum benefit: Innovile provides a combination of Configuration Management, Network Operation, and Self Organizing Network solutions to a Tier-1 Operator in Portugal. This creates a harmonized solution for the operator who was looking for simplicity and end-to-end automated network management capabilities.

Experience breeds speed: A Tier-1 Ukrainian Operator partnered with Innovile to deploy SON network-wide in just 3 months demonstrating great teamwork and planning, spotlighting the out-of-the-box interfaces that speed up implementation and keep costs low. Having done this a few times before, Innovile’s engineering and professional services team members made sure the project was delivered on-time and on-budget. Immediate results were seen with up to 15% performance improvements in key quality and capacity metrics over GSM, UMTS, and LTE technologies.

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