Service Provisioning TRIZ Cases

Status bar icons show whether WiFi or cellular is active, helping users avoid unexpected charges when devices switch networks.

Aggregated service names keep NF discovery available for callback routing when some service types go offline, reducing latency in 5G networks.

Logical and physical inventory models automate network resource discovery, assignment, and activation across complex legacy systems.

A home-network control function detects roaming and visited-network support to adapt service chaining for better routing and resource use.

AMF and PCF coordinate DNN replacement and NSSAI-based policy updates to prevent PDU session errors and keep 5G IoT services stable.

Offline scripting in a secure element enables shared file update scripts, secure authentication, and lower OTA infrastructure cost.

A standardized R1-O1 protocol lets multivendor rApps exchange network, configuration, performance, and fault data with the NRT-RIC.

Filters and identifies multiple AP configuration sets in DPP, reducing enrollee ambiguity during network provisioning.

Failure-message timers and SIM-stored rate limits guide RCS retry timing, preventing blacklisting and keeping services available.

Selecting a DNAI by combining transmission and EAS processing delays helps terminals reach the right edge application server within delay limits.

A pre-disconnect notification lets the network clear VoWiFi and IKE state before Wi-Fi drops, reducing re-registration delay and failures.

UE-led EAS discovery shares the selected endpoint with the EES to synchronize service sessions and improve initial user plane routing.

NWDAF coordinates app-specific terminal measurements so networks can detect poor communication status and adjust resources more intelligently.

Location-based wallet configuration switches a mobile payment card to an available roaming network, enabling interoperable payments beyond the home network.

A unified ECS provisioning flow reduces signaling overhead and configuration complexity for terminal devices across 3GPP and non-3GPP networks.

Aerial server and core network coordination authenticate drone subscription data, set mobility restrictions, and reduce cellular interference.

Distributed orchestration containers and backup MaaS nodes maintain first-to-last mile mobility when rural connectivity is lost.

Dynamic UI and control logic provisioning lets an IoT control app support new device types without waiting for marketplace updates.

Beacon-triggered vehicle apps are deployed and retired automatically in a trusted execution environment, reducing driver interaction and credential risk.

Propagating an MPS on-demand indicator through 5G core and NAS messaging lets authorized users keep priority access during congestion.

A temporary hotspot lets a previously configured wireless device securely pass network credentials to a headless device without manual entry.

Terminal devices choose unicast, multicast, or broadcast configuration delivery by service, device level, and signal quality to cut overhead and power use.

Persistence indicators let UEs reuse valid positioning assistance data and request updates only when needed, cutting redundant network traffic.

Group-based capability exposure lets an edge enabler server handle location, QoS, and path requests for multiple UEs with less signaling.

Operational conditions drive dynamic network slice reliability in HRI and HRC, reducing overprovisioning, resource use, and energy waste.

A flick gesture on a touchscreen selects content and sends it to another device for faster, more intuitive sharing and display.

Automated ZTP distributes provisioning payloads across O-RAN components to cut manual errors and speed deployment and updates.

Dynamic control-function registration keeps IMS routing data current, so user packet cores connect to active P-CSCF services.

Geographically diverse access points transmit radar illumination while UEs only receive, cutting interference, saving power, and preserving communication resources.

Rolled-up hierarchical alerts and model voting cut noisy stream anomalies into timely, relevant notifications with lower processing overhead.