Network Traffic/Resource Management TRIZ Cases

Dynamic MME reassignment balances network loads, preventing resource imbalance and improving utilization efficiency.

A resource allocation device estimates mobile terminal movement to adjust computing resources across MEC server groups.

Nodes evaluate capabilities using weighted values to select an optimal root, reducing channel congestion and messaging delays.

Carrier segmentation reduces computational complexity while minimizing performance degradation during mobile device handoffs.

Alternate extension bit interpretation configures Protocol Data Units to signal complete Service Data Units without Length Indicator fields.

A communication device sets unique quality of service identification information to differentiate relayed data from self-generated traffic.

A gateway device learns network access time to reject session requests from specific user equipment groups.

Network reserves random access resources via signaling to reduce collisions and improve battery life in unlicensed spectrum.

Segmenting broadcast control channels allows user equipment to correctly display operator names while managing channel resource complexity.

A single application processor manages discrete LoRA and digital mobile radio modems to extend cellular coverage in areas with limited connectivity.

A communication device switches between different bandwidths and control resource sets to manage dynamic traffic needs.

A network gateway node selectively suppresses machine-type communication trigger requests during congestion using dynamic settings from a control node.

Reserved provisional time slots enable collision-free network joining while reducing latency and power consumption in wireless IO systems.

A QoS flow processing method configures mapping relationships between flows and data radio bearers to support service transfer.

Segmented schedulers coordinate via an intermediary to resolve the contradiction between improved resource utilization and increased scheduling complexity.

Closed-loop feedback synchronizes terminal and base station frequencies, preventing data loss from mismatched beacon frames.

A captive portal system redirects client requests to negotiate authorization via RFC 5176 before full network access.

Best effort packets carry control codes to adjust bandwidth dynamically, eliminating resource waste from uncoordinated QoS processes.

Decompressor node reuses historical packet data to initialize decompression contexts, reducing initialization delays on narrow bandwidth wireless links.

Wireless switches assign adoption priorities to access devices based on traffic generation, preventing data transfer interruptions during disconnect events.

Base station reconfigures frequency bands between radio access technologies to enable transmission diversity.

Encapsulates multiple data frames into a single packet, eliminating separate headers and interframe spacing to resolve network efficiency bottlenecks.

Segmented clear channel assessments during discontinuous transmission periods reduce radar interference while maintaining network capacity.

Storing candidate secondary cell group configurations reduces signaling overhead and conserves communication transmission resources during SN change procedures.

A hub device dynamically selects between Wi-Fi and LTE connections based on real-time network utilization metrics.

Transferring MAC layer control to a central access point reduces radio remote unit power consumption and hardware complexity.

Machine learning system determines load distribution parameters to maximize aggregated user throughput across overlapping radio access network cells.

A divided MAC protocol structure separates session management from data transmission to minimize handover time and reduce system load.

Dynamic path selection switches to a secondary link when the primary path fails, reducing latency during temporary outages.

A capability negotiation mechanism manages User Equipment admission for multicast sessions.

A self-healing system ranks cell sites and eNodeB devices using filtered key performance indicators to prioritize restoration.

A user equipment signals an advanced buffer size table indication to a network device.

Deep packet inspection identifies service types in user packets, enabling automatic traffic offloading without manual access point name configuration.

A wireless scheduler module estimates cell resource consumption to allocate units across cells without recursive processing.

Periodic passive scanning reduces scan energy consumption while maintaining reliable WLAN discovery for efficient traffic offloading.

A user equipment transmits feedback information using resources determined by transmission or reception IDs.

A relay device sends an uplink grant request before decoding sidelink data to pre-allocate network resources.

Associating guaranteed processing bandwidth with specific message parameters prevents service starvation during congestion.

Implicit SDAP configuration via PDCP signaling reduces network resource consumption by eliminating redundant explicit setup procedures.

A back-off mechanism directs User Equipment to pause requests during network congestion.

A mobile device updates its status icon by analyzing specific frequency band availability bits within system information messages.

A primary node delays secondary node addition to manage network load distribution.

Infrastructure equipment encrypts baseband packet data to protect proprietary configurations and customer data when shared between different network operators.

Separating link adaptation loops for mixed traffic resolves conflicting quality of service requirements by tailoring modulation and coding scheme selection.

A mode switching mechanism triggers User Equipment transitions between cellular and Device-to-Device communication modes based on network signals.

User equipment measures RS-SINR on the physical downlink control channel and reports the value to the base station via predefined triggers.

A radio access network device assigns distinct wait times for core network overload to manage user equipment reconnection attempts.

A first user equipment avoids D2D transmission on resources where reception power exceeds a threshold, reducing resource collisions.

Multicast transmission nodes adjust data rates and buffer sizes based on PDCP sequence number feedback, reducing resource waste and delay.