Network Traffic/Resource Management TRIZ Cases

A target donor CU bundles recursive handover commands and admission results to limit signaling during inter-CU IAB migration.

WTRU registration signaling coordinates unavailability periods and helps reduce network congestion.

Crowd flow motifs enable traffic prediction where historical network data is scarce.

This case uses digital conversion, frequency offsets, and summation to combine legacy BTS and packetized mid-haul signals.

AF-mediated RAN capacity updates match 5G streaming bitrates to changing resources.

File identifiers and types in PDU headers let core networks enforce file-level QoS for high-bandwidth, low-latency traffic.

The method identifies the connected SIM's base station and directs paging there, reducing resource waste in same-network multi-SIM UE.

Anti-MARCO antibodies selectively repolarize suppressive myeloid cells.

This case uses robust control and data-specific MCS groups to adapt channel access and improve WLAN transmission in dense environments.

The control system predicts service-area conditions and relocates network functions to reduce latency as radio usage fluctuates.

This case trains agents for varied traffic scenarios, clusters their policies, and deploys fewer policies across base stations.

A bidding engine tracks demand and availability to auction network slices with edge computing resources for efficient allocation.

Compare NPN identification and association information to validate system data and maintain service continuity across handovers.

Density-based relay probabilities reduce redundant emergency transmissions and channel congestion.

This case uses separate congestion timers for each DNN and SNPN to preserve NAS-level control as UEs move between PLMNs and NPNs.

Aggregated HE and EHT PPDUs use separate bandwidth indicators to simplify signaling and preserve 802.11ax compatibility.

This case derives target-cell uplink timing from downlink and source-cell timing, reducing mobility latency without a full RACH procedure.

Device Assisted Services verifies requested QoS policies and routes traffic through suitable channels across wireless and IP networks.

This case uses tags to associate modality-specific service data flows and apply coordinated QoS across wireless transmission.

Prioritize network slice intentions by SLA to resolve conflicts automatically.

This case uses weighted establishment causes, bearer types, and priority levels to rank UEs and guide fair gNodeB service decisions.

Key and non-key PDU sets receive different transmission durations, improving decoding reliability while limiting resource waste.

This case bonds Wi-Fi and cellular channels, mirrors packets after errors, then resumes unique packet delivery when conditions stabilize.

This case coordinates cellular gateway failover and traffic throttling to limit congestion while preserving essential connectivity.

A priority-aware CAC mechanism adjusts access attempts and backoff to reduce collisions and resource overhead in D2D communications.

A service management server reserves route-based QoS across mobile operators and feeds availability updates to vehicles.

Delay-aware XR scheduling forms selective DSR reports and stops unnecessary random access when uplink control resources are unavailable.

Separated RLC and PDCP layers use adaptation-layer signaling to share transmission status and coordinate packet discard in relay networks.

The UE requests uplink resources before feedback arrives, reducing TCP round-trip latency and supporting higher throughput.

The case uses reservation periods and selection windows to streamline NR V2X resource selection while reducing blind decoding complexity.

This case links application-layer delay and jitter measurements to network re-selection, strengthening 5G URLLC QoS assurance.

Predicted terminal trajectories dynamically set resources, cycles, and retransmission locations to reduce collisions and update delays.

When UE registrations span PLMNs, HPLMN session control preserves MA PDU continuity and supports ATSSS traffic steering.

A UE timer triggers data reallocation or removal when one dual-connectivity branch fails, limiting prolonged congestion.

Dynamic zone identities address inaccurate vehicle-distance estimation in V2X sidelinks.

This case coordinates carrier limits and bandwidth across NR and E-UTRA base stations to mitigate UE overheating while managing throughput.

Serial-numbered buffers let unaffected packets decompress independently, reducing loss propagation and retransmission after packet loss.

This case derives control-information MCS from data spectral efficiency to improve reliability for intended and unintended receivers.

An access gateway maps QoS files to VLAN priorities, enabling uplink packet control when a fixed network accesses a 5G core.

When service-field bandwidth bits fail validation, PPDU scrambling bits preserve bandwidth determination and reduce retransmissions.

This case configures separate DTX limits for licensed and unlicensed sidelink bands to detect radio link failure reliably.

The method checks transmission quality and remaining time to delay or send data, improving reliability while limiting network saturation.

A survival time parameter lets wireless services tolerate packet loss windows, improving spectral efficiency and resource allocation.

Radio nodes exchange resource aggregation updates to improve load balancing with less signaling.

A two-stage UCI resource selection scheme handles varying payload sizes while reducing indication bits and preventing losses.

Network slicing and real-time location or time data adjust PDU sessions to preserve priority access as network demand rises.

The case uses RSRP, RSSI, RSRQ, and CQI to schedule direct or indirect IIoT links for lower latency and reliable communication.

This case uses both RLC legs for high-priority PDCP data to reduce delays and improve delivery reliability in dual connectivity.

This case uses essential physical, MAC, and selective RLC functions to reduce relay complexity and support low-latency links.

This case uses sensor units, RF analysis engines, and MEC processing to turn physical-layer data into actionable spectrum decisions.