Spectral Gaps Assessment TRIZ Cases

By estimating UE location from uplink signals, LTE can lower downlink power and adjust patterns to limit WiFi interference while sustaining service.

Condensing LTE downlink traffic into burst subframes frees idle RF time for WiFi, reducing coexistence interference and energy use.

Condensing LTE downlink traffic into burst subframes frees idle RF time for WiFi sensing and access while maintaining coverage.

Dynamic LBT across NR-U sub-bands lets UE adapt UCI bit blocks and polar coding to cut resource waste while keeping uplink control reliable.

Maps MIB across selected OFDM symbols with LBT to improve unlicensed LTE detection, speed SI acquisition, and coexist with WLAN.

Dynamic LTE downlink power, modulation, and antenna adjustments cut WiFi interference while preserving required user data rates.

Adaptive error correction tracks periodic LTE reference-signal interference to keep WiFi links reliable in shared RF bands.

Sparse sensing cuts Nyquist-rate sampling demands in wireless sensors, lowering power and hardware complexity while preserving signal recovery.

Detected LTE reference-signal periodicity is used to retune WiFi error correction, reducing recurring link errors in shared RF bands.

Condensing LTE downlink traffic into selected subframes creates idle RF periods that let WiFi sense clear channels and transmit.

Secondary terminals use sub-Nyquist energy detection and fusion-center aggregation to sense occupied bands with lower ADC cost and aliasing impact.

Parallel preamble correlators detect multiple code patterns to synchronize peer links, cut interference, and support reliable high-bandwidth transfers.

Sparse uplink signals are sampled below Nyquist rate to cut sensor power and cost while preserving reliable wireless detection and reconstruction.

Sparse uplink sensing replaces Nyquist-rate sampling with compressive measurements to cut sensor power and cost while preserving signal recovery.

Compressed samples from remote samplers let a central processor prepare handoffs early, cutting signaling delay and keeping mobile links coherent.

Time-divided LTE control subchannels reserve RF band access so WiFi can sense clear intervals and coexist with less interference.

Compressive sampling lets a central processor anticipate UE movement across regions, cutting signaling delay and improving resource allocation.

Compressive sampling tracks moving UEs across communication zones, cutting handoff signaling delays while maintaining channel continuity.

Adaptive bandpass and bandstop filtering isolates interference per cycle, preserving usable spectrum and improving receiver signal-to-noise ratio.

Charge-domain RF variable filters add adaptive notch control to suppress interference with existing radio systems while lowering complexity and power use.

A packet acquisition controller freezes AGC, selects the strongest IQ stream, and adapts thresholds to improve low-signal detection.

Freezing AGC on valid low-level signals and selecting the strongest IQ stream improves packet sensitivity while reducing false MIMO detections.

Freezing AGC on weak signals and selecting the strongest IQ stream improves packet detection sensitivity while cutting false MIMO triggers.

Two cyclic auto-correlation statistics are compared to detect data signals reliably with finite samples and no noise power estimation.

Automatic I/Q template matching identifies 6.25 kHz or 12.5 kHz signals and switches receive modes without manual intervention.

Pseudo-random seeded projections compress high-dimensional sparse data without storing a large measurement matrix, cutting memory use.

Iterative gain adjustment and interferer suppression let wideband samplers recover weak narrowband signals without ADC saturation.

A programmable filter bank and reconfigurable processor sense channel occupancy to reallocate bandwidth and limit terminal interference.

Hash-based key-value compression builds sparse data signatures without storing a large measurement matrix, cutting memory use and computation.

Sparse sensing cuts Nyquist-rate sampling in wireless receivers, lowering power and cost while preserving signal detection and recovery.

When CCA delays LTE LAA access, a truncated subframe reservation signal preserves transmission opportunities and peak data rates.

By identifying BSS membership from MU-PPDU fields, the AP discards non-BSS uplink packets to cut processing load, power use, and channel waste.

Early MU-PPDU signal-field checks let an AP reject non-BSS packets sooner, cutting WLAN processing waste while preserving validation accuracy.

Q-value signaling lets terminals detect DBTW status despite LBT-blocked sync bursts, enabling faster timing synchronization.

Dynamic sensing channel grants let wireless networks share data resources for sensing while limiting interference and preserving communication quality.

Multiple PUCCH resources across different beams improve uplink reliability under interference while limiting configuration complexity.

Autonomous sensing and resource-pool selection help sidelink positioning signals avoid collisions while preserving terminal location accuracy outside coverage.

Near real-time signal classification maps active emitters and open spectrum space across multiple wireless standards without external connectivity.

Real-time gateway profiling and slicing-aware path selection help edge and IoT devices avoid congestion, data loss, and static routing limits.

Using feedback across multiple PRBs increases unlicensed-band occupancy, prevents resource collisions, and enables stable sidelink transmission.

Multiple uplink resource partitions let UCI switch to another unlicensed carrier when interference blocks the first, improving HARQ feedback reliability.

Frequency hopping and HARQ feedback help UEs avoid repeated spectrum contention and release unused sidelink resources for higher throughput.

By classifying MU-PPDUs from signal fields, the AP discards non-BSS OFDMA packets to reduce interference and improve WLAN throughput.

Adaptive PL-RS-based timing lets UE complete path loss calculation and activate PUCCH SCell faster without sacrificing reliability.

By reporting carrier combinations and sub-combinations with sequence-based capability data, UE cuts redundant signaling and supports parallel inter-frequency measurements.

Near real-time RF signal profiling identifies emitters, tracks spectrum state changes, and reveals open frequencies across wireless standards.

Parallel timers let NR user equipment stop PDCCH monitoring by channel occupancy, improving power use and unlicensed spectrum utilization.

Shared COT information lets the MAC layer choose logical channels and LBT type more efficiently, improving NR-U and SL-U sidelink access.

Predefined channel access points based on subcarrier spacing help sidelink terminals avoid LBT conflicts and use shared spectrum more efficiently.

Logical HARQ mapping lets sidelink transport blocks retransmit on available carriers after LBT failure, cutting delay and improving efficiency.

Unified LBT failure reporting across multiple RB sets improves sidelink channel access reliability while limiting signaling overhead in V2X.

Adaptive DMRS settings for repeated control channels improve channel estimation and decoding reliability, especially for UEs with few antennas.

A terminal device measures Channel State Information using valid downlink subframes in Licensed-Assisted Access cells.

Base stations perform preliminary listen before talk to predict carrier availability, preventing skipped transmissions and reducing unnecessary grant requests.

A unified channel contention scheme applies multiple clear channel assessment levels to differentiate intra-BSS and inter-BSS frames.

Active-set tone reservation reduces peak-to-average power ratio using iterative peak-canceling vectors.