Network Traffic/Resource Management TRIZ Cases

A deterministic coordinator divides end-to-end QoS parameters into domain-specific values for precise resource scheduling.

A downlink credit distribution protocol allocates transmission credits based on detected network adversity.

TWAMP framework segments heterogeneous networks to measure end-to-end SLA, resolving compatibility and precision trade-offs.

Distributes preparation information to target networks before handover, reducing signaling delays and service breaks during roaming.

A communication method autonomously establishes links and detects interference using spectrum sensing.

Dynamic packet assignment between LTE and WLAN paths stabilizes transmission when multiple user equipments compete for heterogeneous network resources.

A terminal filters capability parameters based on network-requested ranges before transmission.

A terminal device determines transmission data using protocol data unit sets and remaining delay budgets across logical channels.

Selective reporting reduces uplink resource wastage by transmitting upper entity buffer sizes only when necessary.

Classifying wireless stations by service type enables proactive load balancing that prevents voice call maximums and maintains quality of service.

AMF collects network function performance measurements for trusted non-3GPP access registration and service requests.

Assigning higher priority to base stations without voice-interworking capabilities for voice-over-packet service.

A computing device rearranges traffic data using calculated RRC inactivity timer values to detect abnormal network sessions.

Configuring trigger types for pre-emptive buffer status reports allows parent nodes to predict buffer sizes and reduce scheduling delays.

Policy and Charging Rules Function combines authorized quality of service parameters with requested values to update charging rules.

Network functions deliver QoS fluctuation probability data to applications, enabling proactive adaptation that prevents outages for non-elastic workloads.

Segmenting packet data convergence protocol windows between base stations resolves flow control complexity while reducing latency.

A policy management system calculates intended resiliency metrics and determines zone policies to coordinate access networks.

A network node calculates packet loss rates to reduce rated bandwidth and offload excess traffic to secondary links.

A station device transmits connection change information to mobile devices for seamless network switching.

User equipment redirects IP flows to WLAN during 3GPP access switching to improve mobility efficiency.

A relay UE adds reflective quality-of-service indicators to downlink packets for remote device configuration.

Segmenting antenna functions across peripheral devices establishes multiple radio links, increasing bandwidth without enlarging the main device.

Application server combines round-trip time and bandwidth detection to prevent erroneous congestion control during cell handovers.

Base station registers with destination SAS while maintaining source authorization, eliminating service disruption during spectrum access system migration.

A distributed load control system classifies user equipment to adjust transmission probabilities for optimal resource usage.

A base station estimates recurring tune-away periods from missed communications to configure transmission schedules.

Processing circuitry selects a radio access technology for sidelink transmission to avoid mutual interference between coexisting standards.

A radio terminal controller manages direct communication by receiving data and associated radio resource information from a base station.

A network device manages access network selection to route data traffic between 3GPP and non-3GPP systems.

A 5G boundary node paces user plane traffic output to match next hop rates.

Master nodes receive flow identifiers from secondary nodes to relocate unsuitable default radio bearers, preventing quality degradation.

Segmenting control information from data transmission preserves uplink redundancy for ultra-reliable low latency communications when timing overlaps occur.

A deduplication filtering cache stores combined field values to identify redundant Bluetooth Mesh data packets at the node level.

A sensor compares incoming identifiers with stored values to apply compatible software updates.

A dynamic baseband unit pooling system aggregates distributed and centralized resources to allocate capacity based on real-time radio activity.

Temporal bandwidth parts adapt transmission parameters to resolve interference and battery conservation challenges in unlicensed spectrum.

A base station analyzes wireless link conditions to select optimal transmission modes for WebRTC packets.

Access points exchange home agent addresses and cache predictive data to redirect traffic through tunnels, resolving roaming disruptions across subnets.

Roofing mesh nodes calculate passthrough traffic capacity to incentivize node contributions, resolving difficult tracking of distributed network resources.

Core network nodes generate distinct Aggregate Maximum Bit Rate settings for relaying user equipment based on active connection status.

A bandwidth part activation timer controls user equipment switching on unlicensed bands.

Nodes estimate propagation delays and process time to determine remaining delay budgets, ensuring data delivery within specified limits.

A terminal determines service transmission permissions on configured grant resources using logical channel indication information.

User equipment reports supported processing time information to a network device for tailored scheduling.

Terminal-initiated scheduling allocates pre-reserved radio resources for direct device-to-device links.

Segmenting discard times by path latency reduces buffer size requirements while preventing packet loss during multipath transmission.

Radio device adjusts antenna field shape using image information to resolve signal interference and energy consumption trade-offs.