Network Traffic/Resource Management TRIZ Cases

A user equipment performs sidelink transmissions using configured and dynamic grant resources coordinated by a base station.

A network switch configures an offload path to bypass the core network for direct traffic forwarding.

Network side device detects traffic load parameters to cluster cells and adjust uplink downlink configurations.

A relay station notifies a base station of optimal transmission timing to enable efficient data exchange.

Mapping reference signals to selected symbols reduces resource consumption while maintaining parameter estimation accuracy and orthogonality.

User equipment sends data packets with a PDN connectivity request to the mobility management entity for immediate core network processing.

Segmenting random access response processing across distinct MAC entities prevents conflicts from multiple TRPs while reducing device complexity.

Segmenting virtual queues within a single physical buffer prevents unicast lockout while maintaining differentiated service guarantees across traffic classes.

Segmenting channel width data into primary and extension subfields prevents pre-EHT stations from misidentifying operating widths while enabling EHT throughput.

Segmenting processing between a dedicated DSP and control processor reduces power consumption while maintaining high-speed audio signal execution.

A software-defined network controller virtualizes radio resources to optimize service delivery across diverse traffic scenarios.

Measuring service request frequency triggers dynamic 3GDT mode switching to prevent SGSN node capacity exhaustion from frequent Instant Message traffic.

Aligning data frame sizes with scheduling intervals reduces memory buffer requirements and time lags in HSDPA networks.

A TCP spoofer selectively allocates spoofing resources based on host characteristics and packet loss conditions to improve throughput.

Base station allocates control channel resources for user equipment scheduling requests based on detected traffic types.

Dynamic channel allocation enables NB-IoT devices to aggregate bandwidth, resolving uplink capacity bottlenecks without complex carrier aggregation mechanisms.

Groups client devices with similar packet traffic characteristics to enable spatial signal multiplexing on wireless paths.

Joint selection of MEC hosts and UPFs resolves latency bottlenecks by evaluating candidate nodes against performance boundaries and mobility probabilities.

Queue-aware scheduling system for millimeter wave self-backhaul networks optimizes transmitter-receiver pair assignments to minimize packet transmission delays.

A communication device estimates position using distance measurements from multiple wireless units.

Sectored cell sites provide high-speed airborne broadband while minimizing interference with geo-stationary satellites.

A relay user equipment filters data packets using source identifiers and pre-configured lists to extend network coverage while reducing processing complexity.

A central spectrum broker processes coexistence values to allocate TV white space resources fairly among heterogeneous networks.

Correlating distinct IP addresses from different access networks prevents packet loss during inter-technology handovers.

A client device transmits steering opportunity signals to a home network controller for coordinated access point transitions.

Including service level indicators in the attach request resolves service information uncertainty during initial network access.

A network apparatus evaluates host node carbon emission footprints to determine optimal deployment options for machine learning inference tasks.

Electronic device selects specific relay vehicles to forward messages, reducing interference and signaling overhead in Internet of Vehicles networks.

Prioritizing universal prior model downloads via a temporary data boost reduces session setup delays and bandwidth usage in AR VR applications.

Source node forwards access stratum configuration to target node, reducing re-establishment time after radio link failure.

Merging multiple RLC entities into one unit with dynamic path selection reduces radio resource consumption while maintaining reliability.

AP calculates MU BSS load metrics to resolve inefficient channel utilization in dense WLAN environments.

A virtual networking interface hosts multiple applications within a mobile packet core to enable automated traffic routing and management.

Selective address inclusion in the MAC frame header reduces overhead while maintaining forwarding capability through ToDS and FromDS indicator bits.

A base station entity handles small and infrequent IoT data transmissions using optimized radiofrequency signals.

Terminal device determines Q slots based on resource reservation period to exclude overlapping transmission resources.

A computer system segments enterprise applications into reusable services to generate customizable objects for deployment.

Concurrent logical channel processing reduces PHY layer transmission delay by enabling parallel encoding and early transport block assembly.

Segmenting downlink data across paired user equipment overcomes antenna limits and boosts throughput.

Cloud servers and smartphone apps route firmware to ECUs via short-range links, eliminating facility visits for updates.

A logical channel resource allocation method prioritizes channels based on segmentation capability to ensure efficient data transmission.

Dynamic packet scheduling algorithms adjust transmission parameters to balance throughput against quality of service requirements under varying network loads.

A base station updates contention window size based on autonomous uplink reception rates to optimize resource allocation.

A control device selects processing units to execute core network functions based on capability data.

Segmenting the PPDU header into legacy-compatible and enhanced portions minimizes spoofing errors between stations with different decoding capabilities.

Sorts relay stations by signal-to-noise ratio indices to reduce feedback overhead and complexity.

A radio access network node adjusts random access response code rates based on connection success metrics.