H04B1/7107

REUSE OF TRANSMISSION RESOURCES FOR DEVICE TO DEVICE COMMUNICATION

The present invention provides a method of determining a transmission power for device to device, D2D, transmissions between a first user equipment device and a second user equipment device using transmission resources being used for transmissions to a cellular network entity by a third user equipment device, the method comprising determining a measure of a path loss between the cellular network entity and the first user equipment device, and using the measure of the path loss to determine a maximum transmission power such that the D2D transmissions are received at the cellular network entity with a signal level around or below a noise level.

REUSE OF TRANSMISSION RESOURCES FOR DEVICE TO DEVICE COMMUNICATION

The present invention provides a method of determining a transmission power for device to device, D2D, transmissions between a first user equipment device and a second user equipment device using transmission resources being used for transmissions to a cellular network entity by a third user equipment device, the method comprising determining a measure of a path loss between the cellular network entity and the first user equipment device, and using the measure of the path loss to determine a maximum transmission power such that the D2D transmissions are received at the cellular network entity with a signal level around or below a noise level.

SIGNALING OF NON-LINEARITIES FOR INTER-UE INTERFERENCE CANCELLATION

Systems, methods, and devices for wireless communication that support mechanisms signaling non-linearities to a victim user equipment (UE) for interference cancellation in a wireless communication system. A victim UE may experience interference from an uplink transmission by an aggressor UE to a base station. The victim UE may obtain a power amplifier model associated with the aggressor UE. The power amplifier may include a non-linearity model of a power amplifier of the aggressor UE causing the interference on the victim UE. The power amplifier model obtained by the victim UE may be dependent on various parameters, such as a transmit power used by the aggressor UE to transmit the uplink transmission causing the interference. Based on the aggressor UE transmit power, the victim UE may select parameters for power amplifier model and may estimate the interference caused by the uplink transmission for interference cancellation.

SIGNALING OF NON-LINEARITIES FOR INTER-UE INTERFERENCE CANCELLATION

Systems, methods, and devices for wireless communication that support mechanisms signaling non-linearities to a victim user equipment (UE) for interference cancellation in a wireless communication system. A victim UE may experience interference from an uplink transmission by an aggressor UE to a base station. The victim UE may obtain a power amplifier model associated with the aggressor UE. The power amplifier may include a non-linearity model of a power amplifier of the aggressor UE causing the interference on the victim UE. The power amplifier model obtained by the victim UE may be dependent on various parameters, such as a transmit power used by the aggressor UE to transmit the uplink transmission causing the interference. Based on the aggressor UE transmit power, the victim UE may select parameters for power amplifier model and may estimate the interference caused by the uplink transmission for interference cancellation.

Receiver for wireless communications networks

An iterative receiver is proposed for receiving in a cell a signal and for providing information carried on the signal by execution of at least one processing iteration. The receiver includes an estimate assembly for receiving the signal and providing, at each one of the processing iterations, a respective information estimate; a regeneration assembly for receiving, at each processing iteration, the information estimate provided by the estimate assembly at that iteration, and for providing a regenerated signal therefrom based on the information estimate and on attenuation of radio channels over which the signal has been transmitted; an interference estimate unit for providing, at each iteration, an interference estimate based on the signal and the regenerated signal, the estimate assembly providing, starting from a second processing iteration of the processing iterations, the information estimate based on the interference estimate; and an extraction unit for extracting the information from the information estimate.

Mutual WLAN and WAN interference mitigation in unlicensed spectrum

The disclosure provides for interference mitigation for wireless signals in unlicensed spectrum. A wireless device may receive a combined signal including a first radio access technology (RAT) signal and a second RAT signal. The wireless device may generate, using a first RAT receiver in a first processing path, a channel estimate for the first RAT signal based on a previously decoded signal of the first RAT. The wireless device may reduce interference to the second RAT signal caused by the first RAT signal, in a second processing path, using the channel estimate. The wireless device may further decode the second RAT signal. The wireless device may remodulate the decoded signal using a transmitter to generate a remodulated second RAT signal. The remodulated second RAT signal may be canceled from the combined signal. The wireless device may decode a remaining portion of the combined signal including the first RAT signal.

Mutual WLAN and WAN interference mitigation in unlicensed spectrum

The disclosure provides for interference mitigation for wireless signals in unlicensed spectrum. A wireless device may receive a combined signal including a first radio access technology (RAT) signal and a second RAT signal. The wireless device may generate, using a first RAT receiver in a first processing path, a channel estimate for the first RAT signal based on a previously decoded signal of the first RAT. The wireless device may reduce interference to the second RAT signal caused by the first RAT signal, in a second processing path, using the channel estimate. The wireless device may further decode the second RAT signal. The wireless device may remodulate the decoded signal using a transmitter to generate a remodulated second RAT signal. The remodulated second RAT signal may be canceled from the combined signal. The wireless device may decode a remaining portion of the combined signal including the first RAT signal.

Interference mitigation for positioning systems
09739872 · 2017-08-22 · ·

An interference removal filter that includes a combination of a first filter and a second filter, where the first filter passes signals over a frequency range of size B with a variation of less than +/−3 dB, where the peak value of the impulse response of the second filter is displaced in time from the peak value of the impulse response of the first filter by at least 2/B time units, and where the combination of the first filter and the second filter produces a notch in frequency at a frequency location within the frequency range.

Interference mitigation for positioning systems
09739872 · 2017-08-22 · ·

An interference removal filter that includes a combination of a first filter and a second filter, where the first filter passes signals over a frequency range of size B with a variation of less than +/−3 dB, where the peak value of the impulse response of the second filter is displaced in time from the peak value of the impulse response of the first filter by at least 2/B time units, and where the combination of the first filter and the second filter produces a notch in frequency at a frequency location within the frequency range.

Interference suppression for CDMA systems

Interference is cancelled from a baseband signal by synthesizing interference from estimated symbols in interfering subchannels. The estimated symbols are hard-coded, soft weighted, or zeroed, depending on the value of an estimated pre-processed signal-to-interference-and-noise ratio (SINR) in each subchannel in order to maximize a postprocessed SINR. The estimated pre-processed SINR is obtained from averages of estimated symbol energies and estimated noise variances, or from related statistical procedures.