MEASUREMENT-DRIVEN RADIO PLANNING

Plan scarce spectrum
around real radio conditions.

Lattice uses configuration, site, performance and measurement data to model interference relationships and generate frequency, radio-identity and neighbour plans.

ENGINEERING MODEL
SITE COVERAGE & RADIO RELATIONSHIPSLATTICE
ABCDEF
See coverage, attenuation and overlap in context.

MEASUREMENT-DRIVEN AFP

Plan from measured
interference.

Automatic Frequency Planning balances spectrum reuse with interference, coverage, capacity, traffic, neighbour relationships and operational constraints.

Lattice uses measurement reports, traffic recordings and handover information to model those relationships. Candidate allocations are evaluated within the frequency and radio-identity rules of the target network, including PSC and PCI where applicable.

WHERE LATTICE FITS

Adapt the plan as
the network evolves.

Radio planning needs to respond to spectrum constraints, topology changes and the interference experienced by users.

Frequency replanning

Review allocations when network evolution or interference has reduced the effectiveness of the original plan.

Spectrum refarming

Plan the remaining network when spectrum is released from a technology or layer.

Network consolidation

Re-plan around site, carrier or capacity rationalisation and changing traffic distribution.

Topology changes

Revisit the radio plan after site additions, deletions, band changes or other material changes.

DATA & DELIVERABLES

From observed relationships
to an optimized plan.

Inputs and outputs depend on technology, vendor and project scope.

Network information

Configuration, performance, cell and site information, and frequency or radio-identity constraints.

Live-network measurements

Measurement reports, traffic recordings and handover data used to model interference.

Engineering plans

Frequency plans, PSC/PCI plans where applicable, neighbour plans and engineering outputs for controlled implementation.

THE PLANNING CYCLE

Model. Plan. Iterate.

Frequency and neighbour planning go together so that mobility relationships remain aligned with the revised radio environment.

  1. Prepare the scope

    Validate network data, establish the baseline and define planning constraints.

  2. Measure the network

    Use radio measurements, traffic and handover evidence for the target area.

  3. Model interference

    Construct the cell-to-cell interference representation used for planning.

  4. Generate the plan

    Evaluate frequency and radio-identity allocations against reuse and operational constraints.

  5. Align neighbours

    Review neighbour relationships alongside the revised radio plan.

  6. Iterate & review

    Compare candidate plans, refine constraints and obtain engineering approval.

  7. Operator implementation & validation

    Operator teams implement approved changes with backup and rollback readiness. Compare post-change performance with the agreed baseline.

ENGINEERING CONTROL

Planning that fits
the target network.

Lattice is multi-vendor and multi-technology by design. Data formats, planning constraints, frequency and identity rules, and implementation mechanisms require technology- and vendor-specific integration and mapping.

A live-network plan requires engineering review, an agreed baseline, approved implementation, rollback readiness and post-change KPI and interference comparison. Further analysis and parameter recommendations may be needed to address residual issues.

GSM / DELHI, INDIA

GSM optimization: 54% fewer radio-related customer complaints.

Tier-1 operator, Delhi, IndiaNetwork scope: 4,000+ sites

The objective

Improve service quality across a GSM network comprising 900 MHz and dual-band 900/1800 MHz sites.

Our approach

Delivered three cycles of automatic frequency planning and parameter optimization, addressing frequency assignments alongside cell and neighbour configuration.

REPORTED RESULTS

54%

Fewer customer complaints
attributed to radio issues.

Cells meeting all KPI thresholds

A gain of 12.10 percentage points

Before66.52%
After78.62%

TCH drop rate

Lower call drop rate

Before1.06%
After0.84%

Voice NQI

Improved from −3.35 to +1.42

−40+2−3.35+1.42BeforeAfter

The engagement combined frequency planning and parameter optimization; these results reflect the overall project.

THE NEXT STEP

Make a plan for
the network you operate.

Discuss your spectrum constraints, network evolution and measurement data.

Discuss Lattice