Network Traffic/Resource Management TRIZ Cases

A centralized SD-WAN controller enforces adaptive QoS policies by monitoring WAN interface bandwidth utilization to reduce congestion at branch edge routers.

Access server adjusts load sharing ratios among RADIUS servers based on real-time state information.

Network controller filters interfered channels from access point lists to compute optimal WLAN channel plans.

A cellular observability architecture segments data into short-term and long-term storage layers to manage network monitoring information efficiently.

A non-cyclic evolving resource structure adapts subcarrier allocation across time-varying channels to exploit multiuser diversity gains.

A network device determines interference levels by comparing channel quality information from individual and aggregated bandwidths.

An ML algorithm selects optimal Wi-Fi, cellular, or Bluetooth paths for live audio streams, preventing interruptions caused by high latency in crowded venues.

A base station generates transmission schedules by allocating packet time segments proportionally to client device data queues.

A WiBro frame transmission method removes redundant header fields and inserts a transport connection identifier to reduce overhead.

Aggregates cell site performance indicators into service areas to detect network anomalies, resolving misleading data from individual sectors.

A terminal triggering method suspends subsequent trigger requests to reduce network burden.

Network devices instruct a target terminal to forward data to multiple terminals, reducing resource wastage from individual transmissions.

Network component classifies IP flows by quality of service requirements to multiplex packets into shared queues.

Base stations suppress packet headers to deliver streaming media locally, reducing bandwidth consumption by avoiding remote network backhaul.

A central control node allocates time slots and frequencies to base stations and broadcast towers within cell clusters.

Segmenting control functions allows centralized resource management without low latency links, reducing packet delay and increasing network capacity.

A switching function dynamically selects unicast or multicast transport channels based on real-time radio conditions and user equipment feedback.

Dynamic bitrate scaling resolves slow adaptation speed in wireless networks by replacing fixed linear rates with multiplicative increases.

A data transfer apparatus associates packet attributes with identifiers to prioritize transmission and reduce cycle counts.

A hardware data packet classifier assigns priority to network traffic using identifiers from RTC devices.

A quasi-stateful load balancing mechanism reduces state information by deactivating temporary link pinning entries for default flows.

Mapping access points to a virtual entity reduces transmission delay and prevents server overload in low-power lossy networks.

Radio access network devices configure transmission times based on terminal reliability needs, achieving 99.999% accuracy in V2X scenarios.

A centralized unit center integrates multiple logical CUs to share function modules across service layers.

Dynamic parent switching in multi-hop networks avoids data congestion, reducing power consumption while maintaining data collection rates.

Processor detects mobile devices inside vehicles and instructs them to suppress external communication signals.

Control device selects a transmission channel with sufficient packet sending frequency to support multiple packet flows.

Multi-stage channel reservation signals transmit multiple beam-specific signals to clear interference across larger areas while managing transmission time.

Dynamic resource repurposing between control and data traffic optimizes utilization while minimizing interference.

A User Equipment requests Quality of Service parameters through the Non-Access Stratum protocol to configure dedicated session flows.

A vehicle processor selects a telematics control unit to fulfill data transfer requests based on power and timing constraints.

A terminal detects reserved resource overlaps and transmits selection information via a specific collision notification channel.

User equipment maintains pre-configured grant-free resources during cell transitions to reduce signaling overhead.

Monitoring pairing efficiency metrics allows the access node to dynamically limit dual connectivity, reducing resource consumption for non-MIMO devices.

User equipment detects invalid guaranteed bit rate quality of service flow descriptions to prevent session failures and maintain integrity.

Categorizing voice frames by mouth-to-ear delay reduces network resource reservations while maintaining strict delay bounds for sensitive traffic.

A system dynamically adjusts bandwidth part allocations based on monitored usage parameters to optimize resource utilization.

Generating a handover prediction model identifies missing neighbors in neighbor relation tables, reducing dropped calls and interference.

Segmenting the system into parent and child devices enables multi-operator slice assignment while maintaining manageable operational complexity.

Group-based scheduling coordinates uplink resources across cells to reduce interference and increase capacity during high-demand events.

A supervisory device classifies wireless clients to assign adaptive channel widths for IoT and high-efficiency devices.

A RAN device sends network slice identifiers to terminals using a mapping relationship with core network identifiers.

A wireless terminal apparatus measures signal strength to determine adjacency and automatically configure network connections.

Terminal automatically activates data service for specific voice applications to resolve network access constraints without user intervention.

A multi-access PDU session transfers its 3GPP part to a PDN connection during inter-system changes.

Predicting network congestion allows devices to adjust streaming quality before buffer depletion, maintaining seamless playback.

A network node manages user identities within a single User Equipment to control active PDU sessions.