NIx RAN
AI-powered Radio Access Network applications
NIx RAN AI-powered Radio Access Network Solutions
NIx RAN
Transform your RAN operations with our comprehensive suite of intelligent applications for monitoring, optimisation and autonomous network management across all radio access technologies.
NIx RAN portfolio
NIx RAN portfolio
Future Connections’ NIx RAN revolutionises Radio Access Network operations through advanced AI-driven applications.
From zero-touch performance management to energy-efficient operations and competitor intelligence, NIx RAN delivers end-to-end automation across 2G to 5G networks, enabling operators to maximise network performance while reducing operational costs and improving sustainability.
The NIx RAN portfolio includes a comprehensive range of plug & play solutions that address specific use cases. Built on open source and cloud-native principles, they are developed for traditional networks and for OpenRAN deployments as rApps and xApps, in accordance with OpenRAN standards.
The high flexibility of the applications enables customisation to your unique environment and preferred cSON/SMO/RIC configuration, delivering additional efficiency while future-proofing your investment.
NIx Inspector
Ideal to help with optimisation and performance assurance, NIx Inspector apps identify
top offenders and recommend areas of improvement
and actions for better
customer experience
NIx Manager
Ideal to help with operations and optimisation, NIx Manager apps monitor continuously
CM data evolution to detect performance degradations
and adjust settings for
an optimal service
NIx Planner
Ideal to help with quality
and planning,
NIx Planner apps
deploy a competitor intelligence-driven strategy
by mediating and ingesting cross-domain data
and recommending
site modifications
NIx QoE
Ideal to help with quality
and customer experience,
NIx QoE apps improve customer satisfaction through BSS and OSS data correlation
The NIx RAN applications are purpose-built to address specific network challenges and use cases. Each individual App/rApp/xApp can be tailored to implement complex policies and enriched with external data sources, enabling data-driven optimisation and intelligent decision-making.
NIx Inspector
Built to optimise performance and ensure network quality, NIx Inspector applications use PM and CM data to identify top offenders, recommend areas of improvement and prescribe actions for enhanced customer experience
The Footprint application addresses inefficiencies caused by sub-optimal cell coverage areas. By continuously monitoring and analysing the coverage pattern of each cell, the solution identifies the misconfigured ones that overshoot or undershoot their intended coverage zones, enabling precise coverage optimisation.
- Automatic identification of the incorrectly configured cells
- Automatic adjustments of the electrical tilt of the antenna of the offending cells
- Use of advanced geospatial analytics based on AI/ML techniques
- Accuracy improvements up to 85% over traditional techniques
- Intelligent RAN and QoS optimisation
- OPEX reduction
- Energy efficiency improvements
- Interference Mitigator
- FDD-MU MIMO Optimiser
- Massive MIMO Beam Optimiser
- xFeeder Detector
- Coverage Optimiser
- AI-driven automatic degradation detection, user notification and remedies recommendation, as well as fully autonomous remedies implementation
- Customisable single health index score (multi-domain performance composite KPI)
- Automatic identification of worst offenders and problems severity
- Advanced analytics to pinpoint the cause of degradation
- Drill down analysis by geographical area, cluster, node, cell
- Fast identification of service degradation
- Multi-domain operations agility in network supervision
- Centralised single source of truth and analytics platform
- Integration with OSS/BSS using open API and TM Forum standard APIs
- RIC Insights
- RAN GPT
- Real-time audit identifying discrepancies between configured neighbour cells and actual inventory databases
- Intelligent distance-based filtering that automatically blacklists neighbour cells exceeding predefined geographic thresholds
- Dynamic blacklist management
- Advanced analytics to pinpoint the cause of degradation
- Generation of detailed audit reports
- Fast identification of errors in the inventory
- Network performance improvements by reducing handover failures and minimising interference
- Accurate and geographically relevant neighbour lists at all times
- Neighbour Relations Optimiser
- Small Cells ANR
- 5G NSA to 5G SA Reconfigurer
- Continuous monitoring with sub-second decision making capabilities
- Unified optimisation across 2G, 3G, 4G, and 5G networks for multi-technology support
- Adaptive ML algorithms that learn from network behaviour patterns
- Self-configuring optimisation through automated parameter tuning without manual intervention
- Dynamic capacity scaling for special events and traffic surges
- Integrated optimisation across multiple network layers
- Proactive detection and resolution of RF interference issue
- Network capacity increase
- OPEX reduction by reducing manual network tuning by 80%
- Network incidents reduction through proactive optimisation
- Scalable architecture
- Network experience enhancement by reducing drop calls and seamless mobility and by improving data speed
- Mobile Robustness Optimiser
- Mobile Load Balancer
- External Interference Detector
- Special Event Handler
- Carrier Aggregation Optimiser
- UL/DL Power optimiser
- Traffic Steering Manager
The Conflicts application delivers comprehensive radio network planning. Embedded algorithms optimise radio parameters with geographical significance, including PSC/PCI conflict resolution and carrier aggregation planning, ensuring interference-free network deployment.
- Automatic detection and configuration of conflicts in RAN
- Configuration updates of RAN elements, accessible to the entire organisation
- Planning and adjustments of RAN parameters based on geographical location
- PSC/PCI conflicts: custom scoring based on collision detection used for BCCH, PSC, PCI and BCCH BSIC suggestion
- Carrier aggregation planning with Holistic Scoring Index (HSI) of the optimal SCells for each PCell
- Commanding of CRQs and configuration files generation for the resolution
- Faster and more dynamic network planning and deployment strategy
- Implementation of different rollout strategies and capacity expansion
- Enablement of prioritisation and cost optimisation
- PCI RSI Optimiser
- PSC Optimiser
The Auditor application provides end-to-end visibility and automated configuration management across diverse and complex RAN environments, enabling seamless network evolution and multi-vendor interoperability.
- Complex network parameter setting enforcement such as baseline parameters, exempted parameters, parameter settings per scenarios, parameter versioning, site exclusions, etc.
- Implementation of closed-loop remediation
- Change of configuration parameter history record for easy tracking
- Improvement of data accuracy and reliability
- Reduction of verification and remediation complexity
- Reduction of configuration errors
- Improvement of network performance and QoE
- Configuration Consistency Auditor
- Configuration Parameter History
- EN-DC Configurator
- Carrier Aggregation Configurator
- PCC/SCC Configurator
The Supervisor application monitors near-real-time performance metrics to detect degradations, tracks configuration management activities and maintains network topology registries. The solution automatically identifies root cause influencers and generates remediation actions for rapid issue resolution.
- Automatic monitoring of near-real time PM to detect performance degradations using supervised ML techniques
- Identification of influencers and generation of zero-touch remediation actions with configuration management and network topology
- Visualisation of aggregated values for managed object items and status
- Provision of parameter change history record for easy tracking
- Reduction of customer complaints through proactive analysis
- Easy identification of common causes of degradations
- Reduction of MTTR
- Health Checks
- Compensation
- Recovery
- Fault diagnosis
- HW failure prediction
- Sleeping Cell Detector
- Smart Alarm Detector
- Cloud observer
The Energy Saver application intelligently configures and orchestrates vendor energy-saving features to maximise RAN energy efficiency while minimising performance impact, delivering sustainable network operations without compromising user experience.
- Dynamic adjustment of vendor power features with customisable policies
- Traffic load forecasting with AI/ML for safe network operations
- Flexible adaptation to different customisable strategy settings
- Orchestration across different technologies (3G, 4G, 5G)
- Near-real time energy saving processes with advanced UL/DL link adaptation, enhancement of UL link and processes optimisation within edge K-clusters
- Dynamic configuration with no human intervention
- Tailor-made configuration policies
- Additional savings of 2% to 3% with conservative policy configuration and of 8% to 15% with aggressive power savings
- RAN ES Features Orchestrator
- vRAN Functions Energy Saver
- DSS Optimiser
NIx Manager
NIx Planner
The Benchmarker application aggregates and analyses crowdsourced network performance data from multiple operators within defined geographical areas, delivering comprehensive competitive intelligence through sophisticated scoring algorithms and comparative analytics.
- Seamless ingestion and integration of crowdsourced data from multiple operators and competitors
- Advanced scoring algorithms for multi-dimensional performance evaluation with weighted metrics
- Continuous data analysis with temporal pattern
- Robust validation, outlier detection and bias correction mechanisms for data quality assurance
- Separate performance assessment for 2G/3G/4G/5G technologies
- Performance scoring adjusted for geographical and demographic factors
- Comprehensive market position analysis and performance gap identification for competitive benchmarking
- Identification of competitive advantages and market differentiation opportunities
- Enhanced customer retention by proactively addressing areas with competitive service disadvantages
- Objective performance data for reporting and dispute resolution
- Targeted network optimisation, expansion and upgrade based on real-world performance gaps and on competitive positioning
The Smart Planner application application provides actionable competitive intelligence on network rollout plans, offering strategic insights into competitor deployment strategies, coverage footprints and market presence to inform data-driven planning decisions.
- Maximised utilisation of existing capacity with minimum investment
- Identification of potential bottleneck using AI/ML
- Automatic recommendation and implementation of the best course of action
- Fast identification of competitors' modifications: site addition, dismantling, tilts and orientation changes, capacity upgrades
- Integration with operator's rollout plans, search areas and friendly sites
- AI-based traffic prediction models
- Operational efficiency by reducing manual planning effort and accelerating network design timelines
- Enablement of simultaneous evaluation of multiple deployment scenarios
- Data-driven decision making for network evolution
- Cross functional value bridging technical and business aspects
The Coverage Booster application continuously monitors customer experience metrics and dynamically adjusts cell coverage patterns to optimise service quality across diverse usage scenarios, ensuring superior performance where it matters the most.
- Integration of multiple data sources including customer complaint systems, drive test results, crowdsourced measurements, etc.
- Continuous tracking of key performance indicators (such as call drop rates, data throughput, video streaming quality, voice quality scores, application response time) and correlation with geographic locations and network conditions
- Dynamic coverage adaptation by adjusting the antenna tilt and transmission power levels according to user density, services and interference
- Adaptation of the coverage specifically for indoor penetration challenges and outdoor mobility requirements
- Service-specific optimisation for coverage patterns for different application types such as voice, video streaming, gaming and IoT services
- Proactive identification of experience issues before customer impact
- Automated resolution of coverage complains
- Optimisation of network conditions for specific customer applications and services
- Enhancement of customer experience by achieving faster data speed and better voice quality
- Reduction of site acquisition costs through intelligent coverage optimisation
The 5G Configurator delivers automated configuration and optimisation services across multi-vendor 5G networks by leveraging disaggregated O-RAN architecture, accelerating deployment while ensuring compliance to standards and interoperability.
- Seamless integration with other near-RT RIC applications
- Sub-100ms configuration updates based on network conditions
- Vendor-agnostic operations across heterogeneous O-RAN deployments
- Containerised microservices architecture with Kubernetes orchestration
- Machine learning models for predictive configuration optimisation
- Full adherence to O-RAN Alliance specifications and 3GPP standards
- Acceleration of 5G service deployment
- Reduction of configuration complexity
- Enablement of true vendor interoperability
- Continuous improvement of network performance
- OPEX reduction
- Minimisation of time-to-market for new 5G services
The CX Booster application enhances mobile network performance across multiple dimensions, including spectral efficiency, QoS/QoE optimisation, network slice management and indoor positioning. The solution enables both strategic planning and real-time optimisation, adapting to specific use case requirements for superior customer experience delivery.
Depending on the specific use case:
- Automatic expansion or reduction of slice resources based on real-time demand, to guarantee quality of experience (QoE)
- Maximisation of spectral efficiency by intelligently pairing users and enabling optimal MU-MIMO configurations
- QoS/QoE self-optimisation for 5G services based on Quality-of-Service Class Identifier (QCI) requirement
- Provision of highly accurate indoor location data by leveraging multiple positioning techniques
- Optimisation of UL and DL resource allocation in split bearer deployments within the 5G network, maximising spectral efficiency and enhancing QoS and QoE
- Precise, predictive and effective network management
- Enhanced network performance and efficiency
- Guaranteed consistent and high-quality service delivery for various applications (voice, data, critical services) and user segments
- Reduction of manual intervention
- OPEX savings
- Identification and addressing of potential issues or performance degradations before they significantly impact users or breach SLAs
- Dynamic and intelligent allocation of network resources (e.g., spectrum, slices, power)
- Improved user satisfaction
- Smart Slice Quota Assurer
- Channel Estimator (QoS/QoE)
- QoS Assurer
- Positioner
- Split Ratio Auto Controller
Depending on the specific use case:
- Continuous monitoring of quality metrics (like MOS, packet loss, user experience) and identification of top offender cells where voice quality issues are occurring
- Advanced root cause analysis to diagnose the specific reasons for quality degradation
- Iterative and autonomous optimisation of various RAN parameters to improve voice quality
- Identification of optimal parameter configurations by leveraging AI/ML-based framework for continuous evaluation and refinement of voice quality
- Improvement of voice quality user experience
- Reduction of manual effort and human error in maintaining voice quality
- Proactive resolution of potential voice quality degradations before they significantly impact users
- Improvement of network efficiency
- Precise and effective optimisation strategies by leveraging extensive historical data, AI/ML and real-time insights
- Flexible deployment control through the support of various operational modes (open-loop, closed-loop, hybrid) and a user-friendly interface for configuration and monitoring
- VoLTE Configurator and Optimiser
- VoNR Configurator and Optimiser
NIx QoE
AI for RAN Apps - Core capabilities
AI for RAN Apps - Core capabilities
NIx RAN applications leverage advanced AI and ML techniques to deliver autonomous network operations
across the complete RAN lifecycle – from monitoring and optimisation to strategic planning.
Monitor network performance
It generates RAN health index or composite KPIs, allows customisation of health index with adjustable weight and provides the worst Top N network elements
Guarantee network performance assurance
It monitors automatically near-real time PM to detect performance degradations, identifies influencers and generates remediation actions with CM and network topology
Identify and remediate network configuration conflicts
It detects and configures automatically conflicts in RAN, updates configuration of RAN elements, plans and adjusts RAN parameters based on geographical location
Optimise coverage intelligently
It automates the optimisation of cells coverage, uses advanced geospatial analytics based on AI/ML and improves accuracy up to 85% over traditional techniques
Enforce network rollout strategies
It maximises the utilisation of existing capacity with minimum investment, identifies potential bottleneck using AI/ML, recommends and implements automatically the best course of action
Improve network sustainability
It adjusts dynamically vendor power features with customisable policies, forecasts traffic load with AI/ML for safe network operations and adapts flexibly to different strategy settings
Agentic architecture for autonomous operations
Agentic architecture for autonomous operations
Our AI agents use natural language processing to:
- Transform complex network data into actionable insights
- Automate routine tasks
- Predict network issues before they impact service
- Provide intelligent root cause analysis with recommended actions
The system continually learns from network patterns and operator actions, constantly improving its predictive capabilities and autonomous decision-making.
Autonomous RAN Optimisation System (AROS)
Natural language queries for complex KPI analysis, RAG-based parameter knowledge base, reasoning-based parameter optimisation and automated optimisation execution with vendor-specific command generation
Intelligent coverage optimisation
AI-powered geospatial analytics for coverage optimisation, automated antenna tilt adjustments, predictive coverage modeling and real-time performance correlation with coverage patterns
Smart
energy management
ML-based traffic forecasting for energy optimisation, automated energy saving feature orchestration, predictive maintenance scheduling and sustainability impact analysis
Predictive network planning
Competitor intelligence analysis, AI-driven rollout strategy optimisation, capacity demand forecasting and automated site selection recommendations
