Network Planning TRIZ Cases

Transmitting a scheduling request on licensed spectrum during unlicensed channel assessment ensures reliable data transmission when Listen Before Talk fails.

Terminal devices select transmission modes based on user attributes to optimize data packet delivery in unlicensed spectrum.

Central controller divides radio nodes into clusters to compute fractional frequency reuse patterns.

Time-domain repetition of transport blocks reduces latency and improves reliability by pre-configuring different repetition factors based on priority levels.

A macro base station coordinates paging requests across small cell networks to manage unlicensed spectrum access.

RRC signaling uses bitmaps to configure multiple channel access opportunities within periodicity, resolving Rel-15 resource inefficiencies in NR-U.

Dynamic antenna beam adaptation manages coverage areas to resolve handoff reliability issues caused by constantly changing network sectors.

Terminating autonomous uplink transmission prevents interference with scheduled data in unlicensed bands.

A 3D propagation model tunes path loss parameters using CW data and KPIs to optimize radio network planning.

Synchronizing beacon periods via a flexible MAC protocol reduces interference between devices sharing unlicensed frequency bands.

A radio base station requests terminal capability information to determine positioning availability directly from connected devices.

User equipment reports measurement state information to distinguish coverage enhancement operation from normal mode.

A terminal device selects channel access procedures based on timing gaps and resource relationships to optimize initial access in shared bands.

A wireless system monitors remote units to establish a usefulness measure based on received signal strength and data traffic distribution.

Numerology-independent measurement parameters resolve configuration rigidity across diverse carriers, enhancing resource utilization in shared spectrum.

A coexistence manager coordinates secondary user networks to prevent signal interference during dynamic spectrum access.

A communication method associates environment data with learning data to determine machine learning suitability.

Fits data characteristic information using a power-law model to determine user transmission rates and assess base station capacity needs.

A wireless communication device designates transmission resources via physical layer information to support uplink signals.

Switches between FBE and LBE Listen-Before-Talk modes to optimize channel access in unlicensed spectrum.

Defining entry and leaving conditions for UE relays resolves incompatibility with ad-hoc deployments.

User equipment notifies the base station of channel occupation duration using slot format details, resolving inefficient unlicensed channel sharing.

A spectrum management system allocates frequency sets to remotely piloted vehicles for autonomous channel selection.

Centralized coordination via a master network reduces signaling overhead while maintaining peak data rates through time-varying resource allocation.

A communication control device selects a coexistence manager using stored connection information to enable wireless node integration.

A mechanism collects user equipment trajectory data through minimization of drive test measurements configured by network devices.

An LAA base station performs channel sensing and transmits reservation signals to manage unlicensed band access.

A communication management system selects and dispatches movable objects equipped with base station functions to predetermined areas based on positional information.

Classifying wireless cells by KPIs determines optimal antenna tilt ranges, resolving coordination inefficiencies in automatic RF optimization.

A dynamic priority management mechanism transmits access priority information within transmission opportunities to configure spectrum sharing among network entities.

A radio transitions between sub-1 GHz and 2.4 GHz channels using overlapping sequences to support multiple protocols.

Centralizing coordination necessary parameters in one unit prevents information loss during configuration while maintaining operational ease.

An access point shares unused resource unit portions with neighbors, improving bandwidth utilization without increasing interference.

Per-PLMN reporting enables dynamic resource reallocation to resolve the bottleneck of missing operator-specific utilization data.

Segmenting quiet periods across sub-bands resolves the trade-off between incumbent detection accuracy and channel retention stability.

A radio remote system determines adaptive beam weights from channel information to compress antenna domain signals into lower-dimensional frequency domain data.

Master node assigns configuration IDs to coordinate conditional secondary node changes, reducing procedure failures from unsupported protocols.

Radio resource management system allocates underutilized frequency spectrum to secondary communication networks.

Dynamic capacity planning iterates access scheduling against service features to resolve static estimation inaccuracies.

Partitioning user equipment identifiers into subsets allocates control messages to locations that reduce interference between co-channel macro and small cells.

Partitioning coverage areas into dedicated cells optimizes radiation patterns, balancing traffic load while reducing interference in communication networks.

Generating a radio map enables selecting physical cell identity modulo 3 and 30 values that minimize cumulative interference in overlapping LTE cells.

User equipment measures unlicensed spectrum occupancy and reports findings to the base station, enabling fair sharing with WiFi without adding RF chains.

A user equipment and base station monitor shared frequency spectra to detect busy conditions and adjust transmissions dynamically.

Dynamic hyper cell configuration coordinates transmit points to reduce interference in cellular networks.

An information processing apparatus compares measured signal reception data with predicted values to aggregate terminal counts within local areas.

Cooperative sensing identifies idle spectrum segments to reduce channel acquisition time while maintaining signal clarity in crowded licensed bands.

A wireless coverage assessment system collects signal measurements from user terminals to generate accurate network maps.