Power Management TRIZ Cases

Common and per-sub-configuration CSI quantities cut redundant reporting, reducing signaling overhead and UE/base-station power use.

By combining serving relay transmit power with SL-RSRP and SD-RSRP measurements, remote UEs can compare relay candidates more accurately.

Integrates renewable energy targets into network slice provisioning by checking data center feasibility against QoS, capacity, and energy use.

Downlink power sensing lets a TDD repeater adjust uplink gain and noise to prevent oscillation, saturation, and interference.

Negotiated uplink and downlink FDMA lets AMP devices raise data throughput and multi-device addressing while managing power limits.

A modulated PN sequence sent before sidelink data lets the receiving UE train AGC early and avoid decoding errors under varying signal conditions.

Separate power control for SL-PRS and PSCCH improves sidelink signal detection while reducing interference and implementation burden.

Different time and frequency resources let one wake-up signal scheme address multiple terminals while cutting terminal monitoring power.

Adaptive RF power control uses device position and reception sensitivity to keep wireless AV links stable while reducing energy use.

Antenna port subset mapping enables more accurate CSI feedback across sub-configurations while reusing existing codebooks to limit complexity.

Broadcast time offsets let non-AP STAs align TSF timers and determine neighboring AP RTWT start times for timely channel acquisition.

PDCCH-triggered random access with cross-cell timing thresholds speeds uplink synchronization during handover while reducing signaling overhead.

Format-specific PUCCH target power with hysteresis improves uplink demodulation, cuts DTX, and avoids wasted terminal energy.

When antenna-specific insertion loss exceeds UE power headroom, uplink reference signals are reconfigured to preserve channel estimation and throughput.

By monitoring uplink conditions and retransmission need, the UE can sleep before timer expiry to cut 5G CDRX power loss.

A first signal guides when and where to detect a wake-up signal, reducing power use and complexity despite clock drift.

Normalized RSSI compensates for AP-client transmit power imbalance, improving roaming decisions and preventing low-signal data stalls.

Scenario-based wake lock approval blocks unnecessary background tasks, cutting standby power use while preserving needed event response.

Defined MPR values for FR2-1 256QAM uplink help Power Class 1 UEs cut power consumption while preserving coverage and efficiency.

A low-power wake-up signal lets NR terminals keep the main communication module asleep until paging is needed, cutting energy use.

Received-power detection and spatial isolation feedback let wireless resources adjust transmit power to avoid blocking interference and preserve spreading gain.

A single frame signals power save modes across Wi-Fi multi-link affiliated STAs, cutting frame exchanges and improving indication efficiency.

Preconfigured uplink power domains cut terminal control-signal monitoring while preserving reliable URLLC transmission on shared resources.

A unified PRACH repetition setting lets UEs and base stations reuse repetition numbers, simplifying random access while improving UL coverage.

Encrypted client contexts let IoT network functions reconstruct state on demand, cutting tracking updates, latency, and power use.

Aggregating K LP-WUS wake-up signals extends low-power receiver coverage and improves transmission performance for terminal wake-up.

Configured DRX and DTX timing lets terminals send HARQ-ACK or SR outside active periods, cutting delay and power use.

Control cells signal system information changes for other cells, cutting broadcast energy while keeping terminals correctly updated.

When C-DRX and cell DTX/DRX overlap, suspending the second timer during shared inactive periods cuts unnecessary timer running and power use.

Beam failure checks are limited to active cell DTX periods, cutting false declarations and unnecessary UE energy use in wireless links.

Selective S-PRS transmission in NR sidelink improves UE positioning for V2X while balancing latency, reliability, and signal overhead.

An intelligent network entity ranks slice-capable nodes by confidence and renewable energy use to cut NSP processing overhead and energy demand.

Network-requested PHR replaces unreliable pathloss triggers in asymmetric UL TRPs, cutting reporting latency and improving uplink throughput.

Configurable TRS scheduling helps UEs keep frequency and timing aligned across DRX sleep cycles while limiting power use.

A dedicated initial DL BWP lets RedCap UEs handle OSI, RRM, and SSB reception with less BWP switching, cutting power use and delay.

Grouped PDCCH monitoring lets terminals receive cell DRX activation signals in carrier aggregation while reducing unnecessary power use.

Group-based reader triggers and larger random IDs cut initial access collisions, helping Ambient IoT devices connect more reliably in 5G.

Periodic wake-up signal monitoring lets terminal devices cut power use and signaling overhead while still meeting latency needs.

Dynamic capability switching during awake communication cuts power use while preserving flexible wireless operation across changing conditions.

Frequent irrelevant Wi-Fi packets can keep wearables waking up; this case disables Wi-Fi in low-power mode and shifts to Bluetooth or NFC.

Restricted PMI sets per antenna panel simplify port mapping while preserving uplink performance in full-power multi-panel transmission.

Configuring UE transmit power for concurrent NR uplink and sidelink in unlicensed bands helps balance allowed output limits and terminal capability.

Task-aware network allocation shifts heavy computing to edge resources to meet QoS targets while lowering terminal power use and cost.

Gradient data is split by priority across airComp and digital links to cut device power use and radio resource overhead.

Higher-layer signaling exposes idle-mode CSI-RS occasions so UEs can measure cells without long SSB wake-ups, reducing energy use.

Threshold-based wakeup detection, CCA, and random backoff help energy-harvesting tags avoid collisions and balance uplink access.

Future traffic prediction guides RF channel shutdown and delayed scheduling, cutting base station energy use without harming QoS.

By shifting power from edge bands to the center measurement bandwidth, the serving cell extends coverage without exceeding AAU power limits.

Dynamic switching between bandwidth-part MCS tables uses channel quality and power reduction feedback to sustain throughput with 256QAM.

Indicator-based UE state switching preserves uplink transmission after a downlink-only command, cutting decoding load, memory use, and power.