Network Planning TRIZ Cases

UE-trained ML models link signal quality to distance, enabling dynamic antenna tilt control while preserving user location privacy.

A motorized rail moves the router based on multi-device signal feedback to reduce dead spots and interference across a premises.

Steer reflected radio waves by estimating terminal position and incident direction, reducing phase-control overhead at the base station.

Downward-directed reflecting panels extend coverage into blind zones while limiting radio-wave leakage outside the intended space.

Automated RET-to-cell mapping improves multi-band antenna tilt accuracy, cuts manual adjustment errors, and simplifies centralized management.

Sensor data predicts device motion to steer phased-array beams and trigger handovers, reducing sweep latency and link drops.

Sensor data predicts device motion to steer phased-array beams and speed wireless handovers without full field-of-view sweeps.

Steered discovery frames map AP coverage overlap so redundant radios can be reassigned, reducing co-channel interference in dense WLANs.

Base-station and terminal position data steer reflector element phases toward the user, improving reception without per-element channel overhead.

Multiple predetermined channel checks before sidelink transmission improve fair unlicensed-band access while limiting delay and sensing energy.

Sharing channel occupancy time between UEs cuts Listen Before Talk delay and improves spectrum use in unlicensed wireless access.

Fronthaul data guides when multiple RATs should share active radio chains, cutting power use while maintaining multi-RAT operation.

Temporary whisper zones and ESC sensing protect incumbent CBRS access while restoring commercial channel availability when no use is detected.

Existing network measurements are converted across RATs and bands to estimate coverage and cell load for faster, lower-cost RAN deployment.

Circular frequency shifting lets the SAS reassign PAL users when incumbents reclaim channels, reducing disruption and interference.

Preconfigured candidate PSCells and execution conditions cut handover signaling, improving 5G mobility reliability and latency.

Explicit or implicit beam-aware repetition control improves PUCCH mapping, reception success, and coverage when antenna beams switch over time.

Resource notifications combined with selective LBT help transmission nodes avoid autonomous allocation conflicts without adding LBT delay to all transmissions.

Terminals use granted resources and successful channel access to enable reliable sidelink transmission in unlicensed spectrum.

Connection-metric distributions are clustered to diagnose weak cellular coverage and suggest base station configuration changes.

When backhaul is insufficient, RF beamforming steers UE handover to a RAN site with available capacity while preserving coverage.

Switching between type1 and type2 PRACH access based on shared occupancy time improves NR-U fairness while limiting access delay.

Bursting transmissions within TOW and MCOT limits with CCA checks helps share unlicensed spectrum fairly while limiting interference.

Verified position data from a subscriber database improves interference calculation accuracy for indoor wireless devices and protected receivers.

Segmenting network coverage into data sets and poor-sample polygons helps pinpoint service gaps for periodic coverage optimization.

A single scheduling cell sends unified PDCCH control for multiple PDSCH cells, easing scheduling bottlenecks as terminal density grows.

Cooperative base station pairs are planned to close Doppler sensing blind areas and achieve fuller coverage in integrated sensing networks.

A unified DCI format lets one scheduling cell control PDSCH across multiple cells, easing 5G scheduling capacity limits and signaling overhead.

Classifying call failure samples by coverage and signal quality helps pinpoint root causes and prioritize effective network remedies.

Open transportation and household data are used to predict traffic at candidate cell sites, speeding network planning with better forecasts.

Shared COT lets a UE select sidelink resources by source and destination IDs plus CAPC priority, improving V2X reliability and latency.

Scanning secondary bandwidth parts for TXOP reservation messages lets APs share channel access with less sensing delay and better bandwidth use.

Combining geographic, wireline, mobility, infrastructure, and security data, this tool improves fiber route feasibility and recommendation quality.

Future-state RAN prediction lets centralized control messages arrive aligned with actual base station conditions for real-time, reliable operation.

Periodic terminal-initiated COT lets NR-U devices share unlicensed spectrum with network-initiated COT while reducing collisions and improving access.

By clearing LTE interference on selected time-frequency resources, a base station can send NR messages more reliably in shared spectrum.

Restricting mismatched TDD time units in selected beam directions cuts cross-link interference between neighboring cells and preserves spectrum use.

Initial BWP and expected transmission resource exchange enables fair spectrum sharing between public and private 5G networks with lower coordination overhead.

Bandwidth-aware channel listening switches backoff by bandwidth size to improve fair, efficient unlicensed spectrum access.

Neighboring access points share metrics and feedback to choose channel width and reduce overlap, including hidden-node conflicts.

Configurable BS and UE modes define when channel sensing is required, balancing unlicensed-spectrum compliance with lower access delay.

By converting only 5G signals at the remote unit, this case expands indoor coverage while preserving 2G, 3G, and 4G compatibility.

Broadcast SFI and channel usage cues on idle unlicensed channels so NR-U nodes avoid directional interference and use radio resources more efficiently.

Dynamic LBT thresholding uses detected narrowband bandwidth to avoid false idle decisions and improve shared-spectrum access.

Population distribution data guides geographic units, mobile routes, and stationary test points to verify network coverage with less time and resource use.

Resource status feedback helps a source base station choose handover or multi-connectivity targets that can support required network slices.

Unused TXOP bandwidth is announced with delay requirements so other APs can contend for urgent traffic and cut transmission delays.

Specific timing information lets the terminal determine cell and beam application timing, improving communication quality during inter-cell mobility.

Dynamic event monitoring triggers unscheduled RRM after power, restart, radar, or frequency changes to keep wireless AP networks stable.

Flexible UE-initiated COT scheduling in unlicensed spectrum cuts PUSCH segmentation and enables immediate uplink transmission for URLLC.

Measurement data and 3D structure coordinates update propagation models to improve radio field estimation across complex wireless environments.

Adjusts Wi-Fi AP power, channels, and active coverage by user density to limit cross-AP interference while maintaining venue coverage.

Local feedback checks predictive ML models against actual network behavior to catch invalid radio resource decisions with less signaling.

When FBE uplink depends on gNB-initiated COTs, delay and overhead rise; this case shows UE-started COTs after channel sensing.

Using 3GPP UEs and gNodeBs for shared spectrum sensing avoids dedicated ESC networks, reduces whisper zones, and improves band availability.

Fixed-width channels can underload or overload networks; SAS preference signaling enables compatible, load-aware spectrum allocation across operators.

This case coordinates UWB timing with WLAN transmissions to limit overlap, preserve UWB detection, and support dense Wi-Fi operation.