Position Fixation TRIZ Cases

A relay UE modeled as a TRP forwards SL-PRS and positioning messages, enabling accurate location of out-of-coverage remote UEs.

Jointly reporting derived time results with carrier phase data cuts 5G positioning overhead while preserving precise phase resolution.

Counts UEs by area and assistance-data type to switch between broadcast and unicast delivery, reducing signaling and network resource use.

Multiple reference UEs send parallel measurements to the LMF, improving 5G target UE localization and ranging accuracy with low latency.

Large AI positioning models are delivered over the user plane instead of control signaling, improving UE location estimation in indoor factories.

Dynamicity-aware uncertainty mapping adjusts robot localization confidence around moving objects to improve motion planning reliability.

Automatic viewer detection and photo clustering let a digital picture frame fetch relevant images and deliver personalized verbal storytelling.

Delay, location, and processing data from a smart repeater let the core network correct UE positioning measurements and improve accuracy.

Audio attributes from RFID tags refine or replace camera and RSSI location methods, improving tag positioning when shelves or containers block sight.

Reference point reporting with sidelink measurements improves multi-antenna vehicle positioning accuracy and robustness.

Similarity between input and training data enables communication AI model monitoring when location or channel labels are unavailable.

Angular measurements from multiple landmarks enable 3D position and attitude recalibration without inertial units, refined by iterative estimation.

Auxiliary determining units verify abnormal signal areas to improve wireless positioning accuracy and shorten initial location time.

A positively skewed error model deweights multipath-biased NSS code observations to improve positioning accuracy in urban environments.

A UE sends area-related reporting information so the network can configure event reporting outside allowed areas, improving coverage and power use.

Signal propagation time between fixed devices and a mobile unit enables indoor positioning, usage-based billing, and protected IoT data.

Aperiodic measurement gaps let terminals measure positioning reference signals on demand, cutting latency while improving location accuracy.

Threshold-based PRU activation and sidelink requests cut association delay while preserving similar radio conditions for accurate positioning.

Phase-based time-of-flight from multi-frequency carrier signals enables low-cost, sub-meter mobile positioning while separating direct and multipath paths.

Field measurements from wireless stations are turned into path-loss heat maps to quickly pinpoint RF interference sources without manual searches.

Connected UEs supply location and measurement data so a fixed wireless CPE can estimate its position without onboard GPS hardware.

Configuring UE measurement gaps outside the assigned bandwidth part improves PRS positioning resolution and shortens measurement time.

Coarse UE location guides base station beamforming, boosting PRS power and cutting interference for more precise positioning.

XAI-selected CIR features and a two-stage neural network improve indoor positioning accuracy while reducing computation and mobile power use.

UWB ranging, RSSI, and orientation data help rank nearby playback devices so users can stream to the closest, most relevant endpoint.

Positioning errors are fed back to tune path-loss distance formulas, improving terminal location accuracy across multiple base stations.

Combining FR1 angle-of-arrival and FR2 time-of-arrival measurements improves terminal positioning accuracy while reducing latency and beam errors.

Measured and estimated tag distances are compared to detect displaced, blocked, or faulty UWB base stations and protect positioning accuracy.

Periodic GNSS measurement gaps let connected NTN user equipment keep positioning updates without stalling HARQ or wasting power.

Selective RSTA-ISTA pair choice uses RF metrics to cut passive ranging power and convergence time while improving indoor positioning accuracy.

Multiple APs combine ToF, AoA, and RTT with weighted feedback to improve indoor location accuracy while reducing measurement overhead.

BLE beacons and PNAs enable precise casino floor tracking with lower power use, supporting player services and machine operations.

Dedicated PSCCH and SL PRS pools with preconfigured mapping improve sidelink positioning accuracy, synchronization, and resource selection.

Reporting SRS resource and UE Tx TEG associations helps 5G NR reduce uplink timing errors and improve UL-TDOA and multi-RTT positioning.

UEs nearest to an RFID tag send positioning signals, while backscatter reports help the location server improve 5G positioning accuracy.

ISM band spread-spectrum reference signals support indoor positioning while reusing the same receiver to limit interference, cost, and power use.

Hybrid RF, acoustic, and SLAM-based localization reduces indoor multipath and setup burden while delivering millimeter-level positioning accuracy.

Viewer detection and prelinked photo sources let a digital picture frame auto-sync, filter, and narrate relevant images without manual account switching.

Group devices exchange location estimates and metadata to cut uncertainty, improve geolocation precision, and reduce power use.

Correlation-based TDOA and FDOA processing estimates radio source location without direction information, avoiding costly array antennas.

Event-based LoS/NLoS detection lets a UE switch between phase and timing positioning reports to improve accuracy without unnecessary resource use.

Adjusts carrier phase update rates to UE velocity and carrier frequency, reducing Doppler error for more precise positioning.

Hierarchical alarms flag positioning errors before and after integrity thresholds, enabling timely correction and more reliable location results.

Local audio screening sends spectrograms only after gunshot detection, cutting bandwidth and processing load while improving urban location accuracy.

Dynamic skipping of UWB ranging rounds cuts mobile phone power use by adapting the ranging interval to detected movement.

Phase-difference sensing across multiple antennas estimates signal arrival angles for accurate indoor and urban wireless location finding.

Dual optical displacement sensing tracks RF imager position and tilt, improving behind-wall object location and material differentiation.

Crowd-sourced beacon altitudes combine GNSS, pressure data, and LOS inference to reduce vertical error in 3D UE positioning.

Field signal measurements from a drone replace error-prone 3D map pre-calculation to estimate base station beam direction and width.

RSS measurements from multiple antennas are converted into position probabilities, enabling indoor localization that adapts to environmental and hardware changes.