Coverage Analyzer

Certified

Coverage Planning

Analyzes network coverage using MDT (Minimization of Drive Tests) data, identifies coverage gaps, and generates optimization recommendations. Processes geospatial signal measurements to create actionable coverage improvement plans. Certified with strong performance across urban and suburban scenarios.

coverageMDTgeospatialplanning

Current Score88.6

Best Score90.2

Total Iterations1,890

Skill Version1.1.0

Score Progression

Training score across 70 iterations

4-Layer Evaluation

Performance across correctness, simulation, performance, and robustness

Layer 1: Correctness

Geospatial processing and data validation

Layer 2: Simulation

Propagation model comparison across 500 sites

Layer 3: Performance

Detection accuracy and false positive rate

Layer 4: Robustness

Performance with sparse measurement data

Agent Parameters

Current configuration values

rsrp_threshold_dbm-110

sinr_threshold_db-3

coverage_probability_target_pct95

grid_resolution_m50

min_samples_per_grid5

interpolation_methodkriging

Experiments

Latest 20 training runs

70% success

ID	Score	Description	Duration	Time
#20	88.0	RSRP heatmap generation from MDT data	46m 40s	< 1h ago
#19	95.6	Coverage hole detection algorithm v3	55m 37s	3h ago
#18	85.4	Overshooting cell identification	31m 3s	5h ago
#17	79.7	Pilot pollution analysis in dense urban	58m 49s	14h ago
#16	90.8	Indoor coverage estimation model	28m 40s	18h ago
#15	92.9	Uplink coverage gap analysis	21m 5s	19h ago
#14	80.6	SINR distribution optimization	59m 50s	14h ago
#13	81.0	Coverage-capacity trade-off analysis	51m 1s	1d ago
#12	92.5	Terrain-aware propagation modeling	31m 41s	17h ago
#11	88.5	Building penetration loss estimation	15m 36s	1d ago
#10	77.3	Multi-layer coverage validation	32m 4s	2d ago
#9	83.5	Drive test correlation with MDT	58m 51s	1d ago
#8	92.4	Automatic neighbor relation audit	46m 44s	1d ago
#7	83.2	Coverage probability mapping	43m 5s	2d ago
#6	76.0	Interference footprint analysis	48m 2s	2d ago
#5	86.4	Beam coverage pattern optimization	35m 0s	2d ago
#4	90.2	SSB beam coverage validation	45m 45s	1d ago
#3	78.2	Rural coverage extension analysis	57m 10s	1d ago
#2	76.8	Emergency coverage assessment	36m 17s	2d ago
#1	88.5	Temporal coverage variation study	53m 49s	2d ago

DOIL Script

Declarative Operational Intent Language - defines what the agent should achieve

coverage.doil
37 lines
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
=="text-emerald-="text-amber-400">400">"text-accent">intent=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: analyze_coverage
=="text-emerald-="text-amber-400">400">"text-accent">domain=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ran.coverage_planning
=="text-emerald-="text-amber-400">400">"text-accent">version=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-emerald-="text-amber-400">400">"="text-amber-400">1.1.="text-amber-400">0"

=="text-emerald-="text-amber-400">400">"text-accent">objective=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">:
  =="text-emerald-="text-amber-400">400">"text-accent">primary=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: identify_coverage_gaps
  =="text-emerald-="text-amber-400">400">"text-accent">secondary=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: generate_optimization_recommendations
  =="text-emerald-="text-amber-400">400">"text-accent">constraint=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: analysis_accuracy >= ="text-amber-400">90%

=="text-emerald-="text-amber-400">400">"text-accent">context=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">:
  =="text-emerald-="text-amber-400">400">"text-accent">data_source=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-gray-500">[MDT, drive_test, crowdsourced="text-gray-500">]
  =="text-emerald-="text-amber-400">400">"text-accent">network_type=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-gray-500">[4G_LTE, 5G_NR="text-gray-500">]
  =="text-emerald-="text-amber-400">400">"text-accent">morphology=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-gray-500">[urban_dense, urban, suburban, rural="text-gray-500">]

=="text-emerald-="text-amber-400">400">"text-accent">parameters=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">:
  =="text-emerald-="text-amber-400">400">"text-accent">search_space=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">:
    =="text-emerald-="text-amber-400">400">"text-accent">rsrp_threshold_dbm=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-gray-500">[-="text-amber-400">120, -="text-amber-400">100, ="text-amber-400">2="text-gray-500">]
    =="text-emerald-="text-amber-400">400">"text-accent">sinr_threshold_db=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-gray-500">[-="text-amber-400">6, ="text-amber-400">3, ="text-amber-400">1="text-gray-500">]
    =="text-emerald-="text-amber-400">400">"text-accent">grid_resolution_m=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-gray-500">[="text-amber-400">25, ="text-amber-400">100, ="text-amber-400">25="text-gray-500">]
    =="text-emerald-="text-amber-400">400">"text-accent">min_samples_per_grid=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-gray-500">[="text-amber-400">3, ="text-amber-400">10, ="text-amber-400">1="text-gray-500">]
    =="text-emerald-="text-amber-400">400">"text-accent">interpolation_method=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-gray-500">[IDW, kriging, neural_network="text-gray-500">]
  =="text-emerald-="text-amber-400">400">"text-accent">constraints=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">:
    =="text-emerald-="text-amber-400">400">"text-accent">min_data_freshness_days=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-amber-400">30
    =="text-emerald-="text-amber-400">400">"text-accent">min_statistical_confidence_pct=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-amber-400">95

=="text-emerald-="text-amber-400">400">"text-accent">evaluation=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">:
  =="text-emerald-="text-amber-400">400">"text-accent">layers=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">:
    - =="text-emerald-="text-amber-400">400">"text-electric-="text-amber-400">400">correctness=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: validate_geospatial_processing
    - =="text-emerald-="text-amber-400">400">"text-electric-="text-amber-400">400">simulation=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: compare_with_propagation_model(sites=="text-amber-400">500)
    - =="text-emerald-="text-amber-400">400">"text-electric-="text-amber-400">400">performance=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: measure_kpis(="text-gray-500">[detection_rate, false_positive_rate, accuracy="text-gray-500">])
    - =="text-emerald-="text-amber-400">400">"text-electric-="text-amber-400">400">robustness=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: test_sparse_data(density=="text-gray-500">[="text-amber-400">0.1, ="text-amber-400">0.3, ="text-amber-400">0.5, ="text-amber-400">1.0="text-gray-500">])

=="text-emerald-="text-amber-400">400">"text-accent">convergence=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">:
  =="text-emerald-="text-amber-400">400">"text-accent">metric=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: coverage_gap_detection_rate
  =="text-emerald-="text-amber-400">400">"text-accent">target=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: >= ="text-amber-400">92%
  =="text-emerald-="text-amber-400">400">"text-accent">patience=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-amber-400">25
  =="text-emerald-="text-amber-400">400">"text-accent">strategy=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ensemble_optimization

Back to Catalog Learn Concepts