Channel-state information helps suppress clutter in reference-signal sensing, improving wireless target detection accuracy.
Using dual carriers and nonlinear frequency mixing, ambient backscatter shifts replies in-band to cut self-interference and device power demand.
By down-converting backscatter signals to baseband and rotating carrier phase, the receiver removes harmonics with less computation.
Cross-cell interference and RIM reference signals are used to localize atmospheric ducts from source position and propagation delay.
RF excitation triggers memory-bank responses for backscatter device verification, cutting message exchanges and power demand for passive onboarding.
Iterative link-budget calculations select HF frequencies that keep receiver signal levels above interference for resilient long-range links.
This case uses preamble sequences, blanking, and induced delays to clarify backscattered signals at readers and intermediate nodes.
This case screens HF frequencies by ionospheric limits and received power, choosing channels that exceed interferer levels.
Local gNBs detect remote interference through reference-signal position and trigger mitigation to improve uplink connection reliability.
Segmented antenna arrays with software-defined processing track stable radio sources to measure ionospheric density gradients, reducing device complexity.
A scatterer density-based predictive channel modeling method uses graph attention networks to capture high space-time correlations in wireless signals.
A channel modeling method segments non-line-of-sight paths into forward and backward scattering components using sensing parameters.
Reader performs channel measurement on a backscatter communication channel using reference signals, resolving uncertainty in channel quality.
Transmitting ionospheric conditions and confidence levels with signals allows clients to weigh accuracy risks against lost opportunities.
Network device configures dedicated resources for backscatter channels within New Radio systems.
A transmitter preconditioning data signals using inverse ionospheric transfer functions derived from receiver feedback.
A gateway device modulates digital data into analog signals refracted by the ionosphere for long-range transmission.
A beam domain channel modeling method for orbital angular momentum wireless communication derives a time-varying channel matrix using a beamforming matrix.
Modulating the radar cross-section of a mobile device encodes display data onto reflected waves, reducing power consumption compared to active WiFi streaming.
A first apparatus initiates attachment to a second device using backscattered polling signals and signal strength measurements.
Ionospheric modeling corrects HF signal delays using sounding signals, enabling accurate time distribution without GPS dependency.
Segmenting optimization into two stages using Lagrangian functions and gradient descent maximizes total transmission rate while satisfying energy constraints.
A terminal device obtains measurement configuration to perform channel quality assessment between a network side and a backscatter communication device.