In Training

Mobility Optimizer

In Training

Optimizes handover parameters and mobility management to reduce dropped calls, ping-pong handovers, and unnecessary cell reselections. Currently in training with focus on high-speed mobility scenarios.

Version

v0.5.0

Department

RAN Optimization

Vendor

DarkNOC Internal

Certified

Not yet certified

Evaluation Scores

Composite Score

42%

FGrade
Layer 1: Command Correctness51%

Validates that generated commands are syntactically and semantically correct

Layer 2: Situational Appropriateness38%

Evaluates whether the action fits the current network context and conditions

Layer 3: Anticipated Impact35%

Physics-based simulation of the expected outcome before execution

Layer 4: DOIL Compliance44%

Verifies adherence to the Declarative Operational Intent Layer contract

Version History

v0.5.0In TrainingCURRENT
2026-03-05Score: 42%

Added velocity-aware handover timing. Progress toward Bronze threshold.

v0.4.0In Training
2026-02-10Score: 35%

Improved prediction model. Still struggling with high-speed mobility.

v0.3.0In Training
2026-01-15Score: 28%

Proof of concept. Handover prediction accuracy insufficient.

DOIL Contract Summary

Intent Class

mobility-optimization

Risk Level

high

Review Cycle

N/A - In Training

Constraints

  • Training mode only: no live network modifications
  • Handover parameter suggestions require simulation validation
  • Must account for inter-RAT mobility scenarios
  • Cannot modify serving cell during active voice call

Production Readiness

Production Readiness1/5 passed

Guardrails enforced

Simulation-only mode. No live network access.

Rollback tested

Not yet applicable. Agent in training phase.

Staged deployment proven

Not yet applicable. Agent in training phase.

Audit trail complete

Training logs available. Production audit trail not applicable.

Human review approved

Not yet submitted for review.