Network Traffic/Resource Management TRIZ Cases

A virtual fence detects public-network UEs near non-public cells and shifts them to another band to limit shared-spectrum interference.

Data volume thresholds let inactive 5G user equipment send only suitable small payloads, cutting power use and signaling overhead.

Initial control and response frames let stations report future unavailability and coexistence feedback, reducing interference and improving allocation.

Machine learning classifies video flows as streaming or offline downloads, enabling traffic shaping that cuts delays and preserves video quality.

Sending BSR in MSGA over 2-step RACH cuts NTN uplink delay and resource use while supporting QoS-based path selection.

Handover timing based on model aggregation time and remaining service time reduces disruption, resource load, and convergence delays.

Dynamic PDCP discard timing keeps high-importance XR packets longer during congestion while freeing resources by dropping low-importance data.

Network-set service and RB rules control when satellite store-and-forward is allowed, helping NTN links meet latency needs.

Separate congestion level reporting from packet marking ratios so the UPF can process RAN congestion data accurately and handle traffic more effectively.

Historical cell load and real-time UE mapping improve congestion detection and shape video traffic by plan and device type.

Equivalent TBS-based UCI allocation prevents PUSCH overload during repeated uplink transmission and preserves control signaling reliability.

Adaptive antenna beams are reassigned for aerial UEs to cut handovers and interference while preserving terrestrial radio resources.

An unscheduled uplink control transmission keeps a UE on a shared spectrum band so granted uplink data can proceed without losing channel access.

Actual service features from the CU-UP let the CU-CP guide DU scheduling with better fit than subscribed core-network parameters.

A proxy server aggregates packets across Wi-Fi and mobile channels, using virtual ports and address mapping to cut packet loss and latency.

Inactive PPDU segments create switching gaps between stitched UWB bands, enabling wider-band sensing without missing frequency transitions.

A session control node triggers application relocation to nearer servers and updates routing to cut latency and improve core network traffic efficiency.

By predicting future coverage and capacity, this case sets CCO timing in advance to reduce terminal communication disruptions.

An SCP shares service instance and overload information so client nodes can throttle requests selectively, avoiding arbitrary throttling and looped errors.

Augmented cross-station traffic data and knowledge distillation improve offline RL generalization for future base station load prediction.

A cloud controller coordinates sidelink resources across multiple PLMNs to allocate orthogonal V2X spectrum and reduce cross-operator interference.

MTNC-IDs carried in SRV6 headers let 5G transport adapt QoS and network slicing paths without slow manual traffic engineering changes.

Dynamic PDCP discard timers shorten low-importance packet retention during congestion, preserving capacity and high-priority transmission.

A V2X layer maps service identifiers to available interfaces so each message uses a channel that can satisfy its QoS needs.

Flow identifiers added to trigger frame user information improve uplink and peer-to-peer scheduling while supporting QoS-aware resource allocation.

Combining multiple SDUs into one PDCP PDU cuts packet overhead and PDU rate, improving mobile data transfer efficiency.

BlockAck control frames reveal WiFi bandwidth usage when data frames are missed by streaming meters due to interference or incompatible modes.

PDCP acknowledgments and flow control prevent premature PDU deletion in multi-hop RLC forwarding, reducing latency and retransmissions.

By routing audio to the lower-traffic band and video to the other band, this case reduces delay and prevents out-of-sync display.

A UE gateway creates and locks device identity registry entries to secure mesh-based IoT access while enabling rapid broadband deployment.

Preconfigured QoS, channel, and bearer mapping lets terminals send BSRs and allocate uplink resources by cell type for better multi-connection QoS.

LBT-based RB selection, subchannel grouping, and selective guard bands improve unlicensed sidelink reliability while limiting allocation overhead.

A software intelligence layer reshapes IQ packet handling across DUs and RUs to prevent 5G fronthaul overload while keeping bandwidth use high.

Predicted base-station load enables more robust mobility load balancing, reducing reconfiguration churn while improving network performance.

Splitting end-to-end QoS into PC5 and Uu segments improves indirect-link QoS accuracy while limiting signaling overhead.

Adaptive transmission rates matched to network state keep digital twin attribute data flowing in real time for responsive safety warning applications.

QoS-based session-to-core mapping lets packets bypass sequential merging, cutting latency for low-latency services through parallel core processing.

Shared spur frequency and power data lets a receiver correct RF spurs more accurately, supporting high-order QAM with lower overhead.

During an ongoing R-TWT service period, a non-member STA can negotiate temporary access or contend for RA-RU to send urgent burst traffic.

QoS-driven TDD selection lets a base station match uplink-downlink patterns to each UE traffic flow, improving spectrum use for asymmetric services.

Measures channel occupancy and uses fallback on the primary channel to improve fair frame transmission in extended-bandwidth wireless LANs.

Relay-related data from candidate UEs and sidelink RRC exchange support faster, more accurate relay selection and reselection in NR.

Separate control factors and formulas allocate coded modulation symbols for mixed-priority UCI on PUSCH, improving uplink efficiency.