Abstract

TITLE

Accepted Is Not Installed, Charged Is Not Settled: AI Safety for Telecommunications Session, Resource, Usage, and Charging State Consistency

ABSTRACT

Part 04 of 15 — AI Safety and Operational Consistency Technical Disclosure Series

In one line: No single subsystem's report proves an end-to-end telecom outcome. An evaluator reconstructs the real session lifecycle from independently produced evidence and returns COMPATIBLE, INCOMPATIBLE or UNRESOLVED, without ever authorizing action by itself.

AI-driven telecommunications networks, 5G-Advanced and emerging 6G architectures, programmable network APIs, autonomous network agents, network slicing and cross-operator orchestration rely on distributed network functions to establish, modify, monitor, terminate and financially account for sessions. Individually valid subscriber, session-control, roaming, resource-allocation, user-plane metering, charging and settlement records may nevertheless describe different operational states. Acceptance of a network API request does not prove the resource was installed. A subscriber trust change, such as SIM swap or consent withdrawal, does not necessarily terminate a session. A local roaming-context release at a visited SMF does not establish full home-routed or local-breakout session closure. A usage report is not counted usage, a charging record is not an invoice, and an invoice is not financial settlement.

This 423-page defensive technical disclosure presents a computer-implemented, evidence-qualified architecture that reconstructs telecommunications session lifecycle consistency across subscriber identities, home and visited operators, programmable service interfaces, resource reservations, installed configurations, user-plane observations, usage accounting, charging functions and deferred settlement. Its purpose is to prevent an AI agent, closed-loop automation or operations system from treating one subsystem's report as proof of an end-to-end outcome.

A source-qualified lifecycle graph maintains typed, non-equivalent states for session establishment, subscriber trust, operator responsibility, API acceptance, resource reservation, resource installation, measured service delivery, usage reporting, charge generation, invoicing and settlement. Each item of evidence is bound to operation identity, resource generation, event-time interval, subscriber context, applicable policy and verified outcome. Cumulative and incremental counters are generation-qualified, so UPF restarts, counter resets, counter wrap, duplicate reports, overlapping measurement intervals and retries do not cause double counting. Remote-operator observations are evaluated as bounded intervals with causal links, without assuming a global clock or atomic snapshot.

Example: a visited network reports a session released while the home network still shows it active and charging. The evaluator does not promote the local release to full-session closure; it returns UNRESOLVED until home-side evidence confirms the outcome.

Consistency is assessed as COMPATIBLE, INCOMPATIBLE or UNRESOLVED. Missing evidence, delayed remote-operator responses, unknown prior execution effects, incomplete reconciliation and open financial obligations are preserved as UNRESOLVED rather than interpreted as completed operations; an unreachable operator is treated as unknown, not as empty state. Late-arriving evidence and corrected charging records trigger scoped, append-only, versioned reassessment without rewriting history.

A central AI-safety principle separates observation consistency from authority to act. A verdict is not an execution token, an outcome receipt or a ledger entry, and never by itself authorizes resource modification, subscriber-state changes, quota issuance, financial adjustment or settlement.

The disclosure comprises Common Workflow C-CW-01 (seven phases, 38 stages: identity and source context; trust and purpose applicability; home/visited roaming reconciliation; Quality on Demand and installed resources; usage and charging lineage; mandatory predicates to tri-state verdict; outage, late evidence and corrections), six embodiments, formal mathematical specifications, nine source-derived diagrams and fifteen explanatory drawings, 40 implementation and verification checkpoints and a threat model. Reproducible Python reference code passes 87 synthetic tests, with comparative evaluator latency measured in C, C++, Rust, Go, Java, JavaScript, PyPy and CPython. These are laboratory results and do not establish production latency, deployment readiness or independently verified network safety.

The mechanisms apply to 3GPP Release 18, 19 and 20 5G-Advanced and 6G systems, including the 5G Core session-management, user-plane and policy framework (TS 23.501, 23.502, 23.503), PFCP usage reporting (TS 29.244), 5G converged charging (TS 32.240, 32.255, 32.290, 32.291), network data analytics (NWDAF, TS 23.288) and intent-driven management (TS 28.312). They support autonomous network operation at TM Forum Autonomous Networks Level 4 and above, ETSI ZSM closed-loop automation, O-RAN SMO rApp workflows, and CAMARA network-API platforms exposing Quality on Demand and SIM Swap services. The architecture is vendor-neutral and independent of any equipment manufacturer, cloud provider, AI model, programming language or proprietary platform.

The technical contribution is verification of end-to-end telecom session outcomes from source-qualified, generation-bound evidence, with explicit uncertainty and strict separation between observing a state and authorizing action on it.

Related applications: Indian Patent Application No. 202631129178 (patent pending), from which this content is drawn; PCT/IB2026/055615 (published as WO 2026/150382); and follow-on applications PCT/IB2026/055760, 055870, 056058, 056571, 056771, 056809, 056941, 057198, 057540 and 058236. Companion Internet-Draft: draft-das-ai-safety-telecom-session-lifecycle-00.

Author: Sangam Kumar Das, Independent Researcher, Balasore, Odisha, India. Publication date: 30 October 2026. Open to acquihire, strategic collaboration, licensing or joint development with organizations building telecom, network-API, charging or AI-agent infrastructure: [email protected], +91-9861363532.

KEYWORDS

Accepted is not installed; charged is not settled; telecom session lifecycle reconstruction; evidence-qualified session state; typed non-equivalent states; three-valued consistency; COMPATIBLE INCOMPATIBLE UNRESOLVED; observation versus authority separation; non-actuating verification; source-qualified lifecycle graph; AI-native 6G; 5G Advanced; 5.5G; 6G; 5G Core; 3GPP service-based architecture; 3GPP Release 18; 3GPP Release 19; 3GPP Release 20; TS 23.501; TS 23.502; TS 23.503; TS 29.244; TS 32.240; TS 32.255; TS 32.290; TS 32.291; TS 23.288; TS 28.312; cloud-native telecommunications; telco cloud; PDU session; PDU session release; SMF; H-SMF; V-SMF; AMF; UPF; PCF; NEF; N4; PFCP; N16; NWDAF; MDAF; network slicing; QoS flow; 5QI; DNN; session continuity; GSMA Open Gateway; CAMARA APIs; CAMARA Quality on Demand; CAMARA SIM Swap; QoD; programmable QoS; network exposure; network API platform; network API monetization; network as a service; network as code; API idempotency; resource reservation; resource installation verification; interoperator roaming; home-routed roaming; local breakout; roaming reconciliation; wholesale roaming settlement; TAP; BCE; converged charging system; CHF; Nchf; CDR; online charging; offline charging; rating group; quota management; URR; PFCP usage report; generation-qualified usage counter; cumulative counters; counter reset; counter wrap; UPF restart; double counting; duplicate usage report; charging reconciliation; invoice verification; financial settlement; revenue assurance; revenue leakage prevention; exactly-once billing; retry safety; SIM swap fraud; eSIM; SUPI; GPSI; MSISDN; number portability; consent withdrawal; purpose limitation; effective-time policy; agentic AI; AI agents for telecom operations; AI agent network operations; multi-agent telecom control; AI-native core network; autonomous networks; TM Forum Autonomous Networks; autonomous networks Level 4; Level 5 autonomy; ETSI ZSM; zero-touch network and service management; intent-based networking; intent-driven management; closed-loop automation; network digital twin; O-RAN; SMO; Non-RT RIC; rApp; AI-RAN; evidence provenance; data lineage; event sourcing; eventual consistency; append-only versioned correction; late-arriving records; no global clock; partial operator outage; deferred obligations; TOCTOU; execution finality; standard-essential technology; SEP; FRAND licensing

CPC CODES (author-suggested)

H04W 76/30; H04W 76/20; H04W 8/18; H04W 8/12; H04W 28/24; H04W 4/24; H04W 24/02; H04W 12/40; H04M 15/00; H04L 12/14; H04L 41/5003; H04L 41/16; H04L 41/0894; H04L 41/0816; H04L 41/40; H04L 43/08; G06Q 30/04; G06Q 50/50; G06F 21/6245

IPC CODES (author-suggested)

H04W 76/30; H04W 8/18; H04W 4/24; H04W 24/02; H04W 12/40; H04M 15/00; H04L 12/14; H04L 41/50; H04L 43/08; G06Q 30/04; G06Q 50/50

These classification codes are author-suggested search classifications, not official classifications assigned by a patent office.

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