Network Traffic/Resource Management TRIZ Cases

A PHY preamble group ID lets communication nodes recognize Multi-AP coordination groups, improving synchronized transmission and reducing interference.

Pre-established QoS flow and PDU session context enables seamless service migration between terminal devices with stable continuity.

A combined IR-UWB frame embeds radar content in positioning frames to avoid switching delays and missed transmissions.

Urgency signaling lets non-AP multi-link devices share packet timing with APs, improving scheduling priority for delay-sensitive traffic.

A peer UE signals upcoming data so another UE can send an SR before data arrival, cutting uplink grant delay and improving transfer efficiency.

Assistance information sent during DRX active time helps terminals avoid conflicting sidelink resources, reducing interference and retransmissions.

Compressing SRv6 path segment identifiers cuts packet overhead and chip load, enabling more efficient bidirectional tunnel establishment.

Coordinated load exchange between mesh APs and controllers prevents back-and-forth balancing, reducing interference and improving throughput.

Direct local and virtual-local routing cuts IoT latency while gateway aggregation reduces cloud traffic and server load.

Monitored electromagnetic awareness and learning engines enable real-time spectrum allocation and core or MEC reconfiguration in private wireless networks.

Edge-based sensing and learning map the electromagnetic environment to identify usable frequencies and optimize wireless resources in real time.

When re-selection time is short, extending the sidelink resource window with partial sensing helps UE avoid collisions and keep transmissions reliable.

Dual redundant packet generation uses algebraic combinations to preserve packet loss concealment while limiting bandwidth in audio and video delivery.

Dynamic QoS profile selection lets a RAN node adapt to network status and terminal load, preventing overload and improving transmission.

Terminal status feedback lets the core network adjust XR QoS by battery and overheating state, improving service quality while limiting energy waste.

Small IoT data is sent through NAS signaling without a user plane bearer, using network-set rate limits to save resources and keep delivery stable.

Contrastive pre-training reduces semantic distance in fading channels, improving reconstructed model accuracy and communication efficiency.

RL-based TSN agents coordinate wired and wireless flow schedules to preserve deterministic timing, low latency, and efficient resource use.

Partial-bandwidth RU and column signaling in NDPA frames enables channel sounding beyond 160 MHz for more efficient Wi‑Fi transmission.

Allocating UE identifiers and QoS-managed service flows helps deliver XR data to multiple devices within allowable delay time.

Access points adjust SSID beacons, PHY rates, and channel presence by traffic load to cut congestion and improve wireless access.

Predicted QoS association data lets the core network generate QoS parameters that better match access network service needs and improve processing efficiency.

When a UE reaches its DRB limit, priority-based slice preemption frees lower-priority sessions so critical applications can open new PDU sessions.

A first identifier lets the network distinguish users, apps, or services on one terminal and apply finer-grained configuration.

Preconfigured inter-donor forwarding and new BAP addresses keep IAB packet delivery running when a relay backhaul link fails.

A separate APN-AMBR policer allocates bandwidth slices across P-GW worker instances, avoiding session rejection when one instance is full.

Flexible resource element set mapping improves control channel estimation accuracy without increasing reference signal density or wasting resources.

Standardized X2, Xn, S1, Ng, and F1 message exchanges enable seamless bearer migration between wireless nodes for handover and resource use.

Applications request network slices via APIs, while automated orchestration reconfigures functions and resources to meet QoS needs.

Random access signaling selects when π/2-BPSK is used on uplink shared channels to cut PAPR while preserving coexistence and coverage.

Historical rate learning lets a base station predict user demand and regrade bandwidth, improving XR and 5G-A resource matching.

Prestored uplink bit rearrangement cuts rate matching and channel encoding load, improving reliability for low-power IoT tags.

Threshold-triggered IAB capacity reports cut signaling overhead and latency while keeping admission control current in multi-hop wireless networks.

Pre-stored PCell/PSCell reservations and execution conditions let the UE switch cells faster while cutting handover signaling overhead.

Load-threshold carrier selection reduces congestion in direct link communications and improves transmission reliability and resource use.

Preconfigured routing addresses let relay nodes match and forward MBMS packets across IAB hops, enabling multicast delivery to many terminals.

A UE switches a single uplink carrier by pattern to send control information directly to each eNodeB, avoiding X2 latency.

A layered terminal identifier lets networks distinguish users, apps, and services to assign more precise configuration and improve performance.

Uses LCCFS sequence selection and adjacent-location encoding to forecast multivariate network data accurately without noisy imputation.

Pre-announced AP QoS parameters let an STA schedule delay-sensitive WLAN traffic with better transmission performance and less negotiation overhead.

Segmented preamble fields carry bandwidth, puncturing, HARQ, and multi-AP signaling to support complex wireless packet formats.

Dedicated optical paths are created for delay-sensitive traffic flows so base stations can bypass shared-path congestion and cut transfer latency.

When a BWP switch targets a different bandwidth part than random access, the UE adapts it in parallel to avoid added access latency.

Pre-stored QoS flow information lets UE preserve bearer context during 4G-to-5G handover, reducing signaling delay and service interruption.

Estimated QoS and translator-mediated stream handling reduce provisional reservations when integrating 3GPP wireless and TSN networks.

When an IAB backhaul link breaks, packets are sent through another donor gNB so the original donor can decipher and forward them.

Precomputed slice-aware mobility rankings improve 5G handover decisions by cutting rejections, latency, and signaling overhead.

Flexible UE capability reporting and cross-slot scheduling help 5G links handle PDSCH, PUSCH, and PDCCH timing at high subcarrier spacing.

Structured A1 policy transfer links UE identities and profiles across O-RAN and 5GC to improve multi-vendor RIC management and service differentiation.

Multiple TIDs are mapped within the same access category to separate low-latency and regular Wi-Fi traffic and reduce contention delays.