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.
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.
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 have been developed to target each a specific challenge.
Each individual application can be tailored further to specific use cases as per customer’s requirements.
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
- 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
The Capacity Booster application optimises network capacity across all RAN technologies through integrated CSON functions, continuously monitoring network performance and automatically implementing optimisation strategies to maximise throughput and user experience
- 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
- 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
- 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
- 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
- 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
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
The Benchmarker application aggregates and analyses crowdsourced network performance data from multiple operators within defined geographical areas, providing comprehensive competitive intelligence through sophisticated scoring algorithms.
- 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 accesses competitors’ intelligence related to network rollout plans and provides insights into their deployment strategy and their presence.
- 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 automatically adjusts cell coverage patterns to optimise service quality across diverse usage scenarios.
- 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
- 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 various aspects of mobile network performance such as spectral efficiency, QoS/QoE, management of network slice and indoor positioning, allowing for both strategic and real-time optimisation depending on the use case
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
Ideal to help with quality and customer experience, NIx QoE apps improve customer satisfaction through BSS and OSS data correlation
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
GenAIOps – Intelligent customer experience
GenAIOps – Intelligent customer experience
NIx RAN incorporates cutting edge GenAIOps capabilities, transforming traditional RAN operations into an intelligent, autonomous system. Our AI-powered agents provide natural language-based network insights, predictive optimisation recommendations, automated parameter tuning and autonomous issue resolution across all RAN domains.
NIx RAN incorporates cutting edge GenAIOps capabilities, transforming traditional RAN operations into an intelligent, autonomous system. Our AI-powered agents provide natural language-based network insights, predictive optimisation recommendations, automated parameter tuning and autonomous issue resolution across all RAN domains.
Autonomous RAN operations with GenAIOps
Autonomous RAN operations with GenAIOps
NIx RAN’s agentic architecture includes specialised AI agents for autonomous Radio Access Network operations,
from intelligent optimisation to predictive maintenance and strategic planning.
Our intelligent agents use natural language processing to transform complex RAN data into actionable insights, automate routine optimisation tasks, predict network issues before they impact service quality and provide root cause analysis with automated remediation. The system continuously learns from network patterns and operator actions, enabling increasingly sophisticated autonomous operations.
Autonomous RAN Optimisation System (AROS) providing intelligent parameter tuning
RAN intelligence agent delivering predictive analytics and recommendations
Energy optimisation agent managing sustainable network operations
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
