Power Management TRIZ Cases

A beamforming method selects target beams by ranking receiving power and allocates transmission energy using a direct closed-form ratio.

A user equipment controller manages individual discontinuous reception timers for each component carrier to optimize operation modes.

Frequency domain duplication folds signal copies to reduce ADC power consumption while maintaining data throughput.

Transceivers detect preamble sequences to determine address ranges, reducing energy consumption while maintaining reliable data transmission.

A network controller selects energy-efficient transmission paths across multiple MAC/PHY stacks to reduce power consumption.

A network element adjusts user and cell level parameters to maximize downlink transmission power within radio-frequency limits.

Ghost beams reduce power consumption by activating high resource usage channels only when requested.

A communication apparatus manages transmission power across multiple component carriers using dynamic prioritization logic.

A foldable terminal uses a covering detection sensor to automatically activate the correct display part when the protective case is removed.

Predefined rank-based power ratio simplifies UE demodulation, improving throughput while reducing allocation complexity.

A low-power wake-up receiver manages station sleep states using a timer to control main transceiver activation.

A terminal determines target events based on measurement values and reference information.

A user equipment method coordinates asynchronous network events to transmit keep alive messages opportunistically.

An LTE eNB predicts maximum resource limits to optimize power amplifier bias voltage regulation.

A network node retains user equipment context after detach to enable selective energy saving.

Segmenting radio resource management into panel-specific entities resolves the contradiction between multi-panel performance and device complexity.

Base stations configure terminal transmit power using service type, priority, and radio environment data to reduce retransmissions and latency.

A wake up signal transmitted by user equipment indicates upcoming random access activity to network infrastructure.

A wireless device adjusts transmit power using neighbor path loss measurements to optimize signal strength.

A wireless transceiver adjusts packet size limits based on control channel intervals to optimize concurrent multi-radio operation.

A new mesh node detects a connected client device to initiate secure self-service installation without technician intervention.

A relay station aggregates non-overlapping frequency sub-bands to enable simultaneous reception and transmission.

A Service Capability Exposure Function manages MBMS bearer activation to enable efficient group message transmission.

A Wi-Fi access point monitors Target Wake Time session health by measuring timing drift between expected and actual station wake times.

Segmenting power control parameters per cell resolves management complexity while maintaining reliable multi-cell communication.

A User Equipment receives Downlink Control Information to determine uplink transmit power.

A joint downlink assignment embeds uplink grants within control signaling to configure data transmission.

Access point controls station awake duration via wakeup poll frames to prevent unnecessary power consumption during WLAN transitions.

A communication control apparatus selects protection target cells to configure new small cell coverage.

A MIMO antenna array switches elements to mitigate interference with Bluetooth interfaces.

Dynamic RF control extends backup runtime by reducing consumption without adding capacity.

Paging subgrouping divides user equipment into groups, minimizing false pages and extending battery life.

A radio resource control method reports a reduction range of the maximum allowable transmission rate from base stations to a network controller.

A wireless access point alternates between reduced-power and reception periods using periodic beacons to conserve energy during passive radar scans.

A test system calculates relative power by comparing detected peaks against a baseline to rank interferers automatically.

Configuring machine-type communication devices with optimized retransmission parameters reduces energy consumption while maintaining coverage reliability.

A wireless device switches communication modes to reduce power consumption and heat generation.

A telematics controller detects packet-switched unavailability and signals circuit-switched capability to the service delivery network.

A user equipment generates temperature thresholds to define thermal zones and sends information to a network device for mitigation actions.

User equipment detects inactive or poor quality sidelinks and disables them to conserve power and signaling resources.

A communication apparatus processor determines actual capability and reports reduced capability to a network device.

A distributed communication system uses a scheduling unit to manage multiple communication units and compensates for signal attenuation across connection lines.

Coordinating PLMN searches across multiple SIM cards via shared timers reduces redundant scanning, lowering battery consumption and search time.

Segmenting communication signals into sub-bands isolates downlink paths from uplink interference, resolving oscillations in distributed antenna systems.

Buffering uplink data until downlink grants arrive synchronizes transmissions, reducing active state transitions and conserving battery life.

Controller detects human proximity and adjusts aggregate power levels to maintain signal quality while complying with regulatory limits.

A source device scheduler estimates buffer capacity and channel conditions to time Bluetooth A2DP transmissions.

A macro cell generates and broadcasts activation matrices to manage small base station power states.