Mobility Optimizer

In Training

Mobility Management

Optimizes handover parameters and mobility management across heterogeneous network deployments. Uses real-time signal measurements and user trajectory prediction to minimize service interruptions during cell transitions. Currently in active training with focus on 5G NR conditional handover scenarios.

handover5G NRmobilityHetNet

Current Score72.4

Best Score78.1

Total Iterations847

Skill Version0.4.2-beta

Score Progression

Training score across 50 iterations

4-Layer Evaluation

Performance across correctness, simulation, performance, and robustness

Layer 1: Correctness

Parameter validation and constraint satisfaction

Layer 2: Simulation

Performance in simulated network environment

Layer 3: Performance

KPI achievement against targets

Layer 4: Robustness

Stability under varying load conditions

Agent Parameters

Current configuration values

lookahead_cells3

prediction_window_ms500

handover_margin_db3

time_to_trigger_ms160

measurement_bandwidthfull

enable_conditional_hotrue

Experiments

Latest 20 training runs

70% success

ID	Score	Description	Duration	Time
#20	72.0	Handover prediction with 3-cell lookahead	45m 36s	< 1h ago
#19	79.6	Load balancing across macro + small cells	38m 42s	4h ago
#18	69.4	User trajectory prediction using signal patterns	23m 29s	7h ago
#17	63.7	Mobility parameter tuning for high-speed corridor	47m 39s	11h ago
#16	74.8	Inter-RAT handover optimization (4G/5G)	31m 39s	15h ago
#15	76.9	Ping-pong handover reduction strategy	24m 31s	15h ago
#14	64.6	Connected-mode mobility optimization	30m 43s	16h ago
#13	65.0	Idle-mode cell reselection tuning	16m 58s	1d ago
#12	76.5	Beam management for mmWave mobility	26m 42s	1d ago
#11	72.5	Conditional handover parameter search	21m 3s	1d ago
#10	61.3	Early measurement reporting optimization	44m 55s	2d ago
#9	67.5	Dual connectivity mobility management	23m 34s	1d ago
#8	76.4	Cross-border handover optimization	32m 48s	2d ago
#7	67.2	Indoor-outdoor transition handling	48m 52s	2d ago
#6	60.0	Velocity-aware parameter adaptation	54m 21s	2d ago
#5	70.4	Multi-beam tracking optimization	54m 31s	3d ago
#4	74.2	Fast handover recovery mechanism	16m 22s	1d ago
#3	62.2	Mobility robustness optimization	53m 4s	1d ago
#2	60.8	Load-aware handover triggering	36m 39s	1d ago
#1	72.5	QoS-driven mobility decisions	31m 55s	4d ago

DOIL Script

Declarative Operational Intent Language - defines what the agent should achieve

mobility.doil
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=="text-emerald-="text-amber-400">400">"text-accent">intent=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: optimize_mobility
=="text-emerald-="text-amber-400">400">"text-accent">domain=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ran.mobility_management
=="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">0.4.="text-amber-400">2-beta"

=="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">: minimize_handover_failure_rate
  =="text-emerald-="text-amber-400">400">"text-accent">secondary=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: minimize_ping_pong_ratio
  =="text-emerald-="text-amber-400">400">"text-accent">constraint=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: maintain_service_continuity >= ="text-amber-400">99.5%

=="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">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">deployment=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: heterogeneous
  =="text-emerald-="text-amber-400">400">"text-accent">scenario=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-gray-500">[urban_dense, high_speed_corridor="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">hysteresis_db=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-gray-500">[="text-amber-400">0.5, ="text-amber-400">6.0, ="text-amber-400">0.5="text-gray-500">]
    =="text-emerald-="text-amber-400">400">"text-accent">time_to_trigger_ms=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-gray-500">[="text-amber-400">40, ="text-amber-400">640, ="text-amber-400">40="text-gray-500">]
    =="text-emerald-="text-amber-400">400">"text-accent">a3_offset_db=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-gray-500">[="text-amber-400">0.5, ="text-amber-400">6.0, ="text-amber-400">0.5="text-gray-500">]
    =="text-emerald-="text-amber-400">400">"text-accent">cell_individual_offset_db=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-gray-500">[-="text-amber-400">6, ="text-amber-400">6, ="text-amber-400">1="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">max_handover_latency_ms=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-amber-400">50
    =="text-emerald-="text-amber-400">400">"text-accent">min_measurement_period_ms=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-amber-400">200

=="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_parameter_ranges
    - =="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">: run_mobility_trace(users=="text-amber-400">500, duration=3600s)
    - =="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">[ho_success_rate, ping_pong, throughput="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">: stress_test(load_factor=="text-gray-500">[="text-amber-400">0.5, ="text-amber-400">0.8, ="text-amber-400">1.0, ="text-amber-400">1.2="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">: handover_success_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">98.5%
  =="text-emerald-="text-amber-400">400">"text-accent">patience=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: ="text-amber-400">20
  =="text-emerald-="text-amber-400">400">"text-accent">strategy=="text-emerald-="text-amber-400">400">"text-gray-="text-amber-400">500">: bayesian_optimization

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