Network Planning TRIZ Cases

AI predicts optimal beam sets and activation times for inter-cell handovers, reducing failures, link drops, and throughput loss.

Filtered line-of-sight path selection cuts network planning complexity while preserving mesh coverage and plan quality.

Blockchain smart contracts let GAA users coordinate interference margins directly, easing SAS load while improving shared CBRS spectrum use.

Type 2 channel sensing in SCI format 2-C lets a sidelink UE transmit only on idle resources, improving allocation flexibility and reducing interference.

Automated validation and fallout handling catch ZTP workflow errors early, enabling reliable multi-vendor O-RAN cell site deployment.

A transit AMF proxies UE control plane traffic in shared RANs, cutting direct core interconnect complexity across multiple operators.

A single DCI from one scheduling cell allocates PDSCH resources across multiple cells, easing control-channel limits as terminal counts grow.

Restricted TDD time units and directional application cut cross-link interference between neighboring cells with different TDD patterns.

RAR signaling indicates channel access type so the UE can decide Msg3 LBT earlier, reducing delay while preserving reliable access.

By combining polarization and orbital angular momentum bases, this case reconstructs 3D radio-wave geometry to improve capacity and detection resolution.

Combining short-term and long-term DSS cell load predictions improves spectrum allocation accuracy and reduces mismatch with actual traffic demand.

Stop indications and listen-before-talk curb overlapped configured grant uplink interference while preserving autonomous PUSCH transmission.

Alternating communication and sensing time periods in one frame improve spectral efficiency while avoiding added overhead and link interference.

Dynamic vCU reallocation in vRANs responds to network changes to maintain quality of service and improve resource efficiency.

Unused time units are reassigned for repeated uplink transmission so code rate thresholds are met and deep-coverage combination gain improves.

Pre-ranked beam priority tables use device mobility and location to improve throughput while cutting handover overhead in beamforming mobile networks.

KPI-driven cell site models automate wireless deployment by ranking configurations for local coverage, reliability, and performance.

Grid-based triangular coverage analysis ranks high-impact cellular site locations to improve weak-area coverage and reduce call drops.

SSB-specific RA-RNTI mapping lets UEs distinguish RARs in shared RACH occasions, cutting latency, retransmissions, and data interruption.

When a neighboring cell goes down, antenna tilt and band adjustments extend coverage into the outage area while limiting disruption and dead zones.

UEs compare overlapping sidelink reservations with channel access parameters to flag conflicts early and reduce interference in unlicensed bands.

By excluding beamforming nodes from radio maps and location fixes, wireless positioning gains more stable signal models and higher accuracy.

Adds LBT-specific mobility logging and reporting for NR-U cells, giving SON and MDT the data needed for better network optimization.

Targeted signal measurements use vehicles and UAVs to map poor coverage zones faster and guide wireless network improvements.

Performance data guides dynamic BBU-RU pairing in Open RAN, balancing multi-vendor flexibility with UE service and reliability needs.

Dynamic O-RAN resource pooling shares underused assets across RAN portions and MNOs to improve utilization, flexibility, and cost control.

Multiple LBT bandwidth checks let a UE expand sidelink bandwidth in unlicensed spectrum, including guard bands, for higher throughput.

AI-driven RIC uses interference history and domain proxy data to preplan CBRS channel switches, reducing disruption and energy use.

A local spectrum controller uses game-based allocation and historic efficiency data to improve 6 GHz fairness, utilization, and interference control.

A pre-switch gap period aligns relay and network beam and power states, avoiding transient mismatches during beam switching.

Cross-BSS sounding lets APs collect interference channel feedback from other BSS STAs, enabling coordinated beamforming and concurrent transmission.

Grouped PRACH occasions tied to downlink reference signal repetitions improve random access coverage without excessive procedure complexity.

Dual PSCCH scheduling helps sidelink devices handle COT and slot timing mismatch, cutting idle reservation signaling and interference.

Using the mobile client's actual location for AFC lookup improves 6 GHz frequency selection and reduces interference for fast-moving nodes.

Sensor-based antenna position and orientation reporting lets AFC map 6 GHz coverage and auto-adjust alignment or power to avoid overlap.

CG-UCI carries downlink timing and CAPC data so a base station can share channel occupancy time with lower latency in unlicensed spectrum.

Shared COT signaling guides sidelink transmission mode selection, improving fair channel access for terminal data and signaling.

Transforms antenna radiation patterns into ML-ready signal strength arrays to estimate cellular coverage faster than ray tracing.

RB- and RBG-level scheduling with rate matching and puncturing lets 6G share overlapping 5G NR spectrum while cutting control overhead.

An anchor eNB keeps UE state across connected cells to cut handover signaling, save battery life, and reduce resource use in dense networks.

By reporting only requested codebook parameters per band or band combination, the terminal cuts signaling overhead while preserving accurate capability data.