Mobility & handovers
Analyze serving cells and specific neighbours to review handover timing, ping-pong behaviour, handover success and inter-layer mobility.
CELL & NEIGHBOUR PARAMETER OPTIMIZATION
Each cell is different.
So is each neighbour.
Quark uses configuration data, performance data and radio/mobile measurement data to characterise individual cells and neighbour relationships, then generate fine-tuned parameter recommendations.
CELL & NEIGHBOUR CONTEXTQUARK
RadioTrafficMobility
ONE RELATIONSHIP. TWO CONTEXTS.QUARK
ConfigurationPerformanceMeasurements
THE QUARK PRINCIPLE
Network conditions vary.
Parameters should reflect them.
Operational networks often inherit common parameter templates. Yet cells differ in coverage geometry, clutter, traffic, interference, neighbouring cells, radio layers and mobility patterns.
Quark treats each cell and neighbour relationship as an individual optimization object. It uses measured network behaviour to produce recommendations for mobility, radio quality, traffic distribution, power control and radio-resource utilization.
OPTIMIZATION AREAS
Focus the change
where the evidence points.
Parameter changes should address observed behaviour and an agreed engineering objective.
Radio quality & interference
Use measurements and performance data to investigate interference, poor quality, overshooting coverage and inappropriate thresholds.
Traffic balancing
Assess overlapping cells, bands and layers to support traffic distribution, capacity utilization and congestion management.
Power control
Develop cell-specific power-control recommendations that balance coverage, quality and interference.
INPUTS TO RECOMMENDATIONS
Build a detailed
network picture.
Data requirements depend on the technology, vendor and optimization scope.
Configuration data
Cell configuration, neighbour definitions and radio parameters.
Performance data
Counters and KPIs describing mobility, quality, traffic and utilization.
Radio/mobile measurement data
Radio measurements, traffic recordings, cell locations, orientations and relevant network relationships.
Individual recommendations
Cell- and neighbour-specific parameters for engineering review and controlled implementation.
HOW QUARK WORKS
Measure. Refine. Validate.
A repeatable engineering process with review and accountability for consequential changes.
Measure
Collect and validate the configuration, performance and radio evidence relevant to the scope.
Analyze
Characterise individual cells and neighbour relationships under real traffic and radio conditions.
Recommend
Generate fine-tuned cell- or neighbour-specific parameter recommendations.
Review
Check engineering rationale and constraints through the operator’s approval process.
Operator implementation
Operator teams introduce approved changes within agreed windows, with backup and rollback arrangements.
Validate
Compare post-change KPIs and measurements with the baseline and investigate adverse movement.
THE TARGET NETWORK
Multi-vendor engineering
requires specific mappings.
Quark was designed as a multi-vendor, multi-technology platform. Mobility, quality and traffic-distribution objectives may be shared, while parameter names, ranges, counters and implementation mechanisms remain vendor- and technology-specific.
The target deployment requires appropriate data adapters and engineering mappings. Scope, integration and supported parameter families should be confirmed for the network being addressed.
LTE / ZAMBIA
LTE optimization: higher throughput, fewer handover failures.
The objective
Improve LTE radio performance and mobility while increasing user throughput.
Our approach
Used live performance statistics and traffic recordings to assess individual cells, carriers and neighbour relationships. Optimization covered antenna configuration, radio resource management and uplink power control, alongside PCI, neighbour and mobility settings.
REPORTED RESULTS
Reported percentage change · 0–20% scale
1.3 dB
Reduction in uplink RSSI
The presentation reports pre/post KPI averages over five working days.
UMTS / MUMBAI, INDIA
UMTS optimization: better connection setup and call retention.
The objective
Improve UMTS service quality through targeted radio, mobility and resource configuration.
Our approach
Used live performance statistics and traffic recordings to examine cells, multiple carriers and individual neighbour relationships. Optimization addressed antenna configuration, CPICH power and cell offsets, with further tuning of soft handover, RACH and HSDPA settings.
The pre/post comparison showed lower RRC setup failure rates for both circuit-switched and packet-switched services, together with lower RAB drop rates for both service types.
REPORTED RESULTS
Better setup.
Better retention.
RRC setup failure rate
Circuit-switched services
RRC setup failure rate
Packet-switched services
RAB drop rate
Circuit-switched services
RAB drop rate
Packet-switched services
Direction of the reported pre/post change
The presentation reports pre/post KPI averages over five working days.
THE NEXT STEP
Tune the network around
its measured behaviour.
Discuss the performance problem, target technologies and available data with our team.