An electronic device may include a transceiver, a communication circuit, at least one antenna circuit, a processor, and a memory. The transceiver may include at least one transmission (Tx) chain and at least one reception (Rx) chain. The communication circuit may include a plurality of front ends electrically connected to the transceiver. The at least one antenna circuit may be connected to the plurality of front ends, respectively. The processor may be operatively connected to the communication circuit. The processor is configured to change the power and/or circuit driving of the at least one reception (Rx) chain on the basis of the strength of an output signal of the at least one transmission chain.

An electronic device may include a transceiver, a communication circuit, at least one antenna circuit, a processor, and a memory. The transceiver may include at least one transmission (Tx) chain and at least one reception (Rx) chain. The communication circuit may include a plurality of front ends electrically connected to the transceiver. The at least one antenna circuit may be connected to the plurality of front ends, respectively. The processor may be operatively connected to the communication circuit. The processor is configured to change the power and/or circuit driving of the at least one reception (Rx) chain on the basis of the strength of an output signal of the at least one transmission chain.

User equipment (UE) may determine a probability that a cellular network may allocate a resource block to the UE having a frequency that, when a cellular transmitter of the UE transmits a radio frequency (RF) signal using the resource block, a harmonic signal may be generated that interferes with a global navigation satellite systems (GNSS) signal received by a GNSS receiver of the UE. The probability may be determined based on a number of factors that may impact resource block allocation, including a location of the UE, a current date and/or time, a historical allocation of resource blocks (which may be crowdsourced), a client type associated with a signal to be transmitted, a signal environment at the UE, real world conditions, and so on. Based on the probability, the UE may selectively perform a mitigation procedure or transmit an RF signal without performing the mitigation procedure.

A mesh network node can include a self-interference cancellation subsystem. Operation of the self-interference cancellation subsystem enables persistent and/or continuous spectrum monitoring by the mesh network node. The mesh network node can transmit spectrum information at one or more intervals to a spectrum access server which can leverage spectrum information provided by multiple mesh nodes to optimize connections and/or links between nodes in the mesh network.

Aspects of the disclosure relate to an apparatus (e.g., a user equipment (UE)) configured to operate in a full-duplex mode. The apparatus may include at least one transmit chain configured to operate within a first frequency band and at least one receive chain configured to operate within a second frequency band. The apparatus may receive coordination information that is configured to mitigate the self-interference between the at least one transmit chain of the apparatus and the at least one receive chain of the apparatus. In some examples, the received coordination information includes at least one of subcarrier spacing coordination information, beam coordination information, or slot format index coordination information. In some examples, the apparatus may transmit a first signal while receiving a second signal based on at least the subcarrier spacing coordination information, the beam coordination information, or the slot format index coordination information to mitigate self-interference.

A radar signal processing system with a self-interference cancelling function includes an analog front end (AFE) processor, an analog to digital converter (ADC), an adaptive interference canceller (AIC), and a digital to analog converter (DAC). The AFE processor receives an original input signal and generates an analog input signal. The ADC converts the analog input signal to a digital input signal. The AIC generates a digital interference signal digital interference signal by performing an adaptive interference cancellation process according to the digital input signal. The DAC converts the digital interference signal to an analog interference signal. Finally, the analog interference signal is fed back to the AFE and cancelled from the original input signal in the AFE processor while performing the front end process, reducing the interference of the static interference from the leaking of a close-by transmitter during the front end process.

A radar signal processing system with a self-interference cancelling function includes an analog front end (AFE) processor, an analog to digital converter (ADC), an adaptive interference canceller (AIC), and a digital to analog converter (DAC). The AFE processor receives an original input signal and generates an analog input signal. The ADC converts the analog input signal to a digital input signal. The AIC generates a digital interference signal digital interference signal by performing an adaptive interference cancellation process according to the digital input signal. The DAC converts the digital interference signal to an analog interference signal. Finally, the analog interference signal is fed back to the AFE and cancelled from the original input signal in the AFE processor while performing the front end process, reducing the interference of the static interference from the leaking of a close-by transmitter during the front end process.

A system for canceling signal interference (SI) includes a transceiver configured to concurrently transmit signals and receive signals within a single frequency band, which causes signal interference between the transmitted and received signals. The SI canceller is configured to use a set of cancellation coefficients to generate a cancellation signal to mitigate the SI. The system is configured to iteratively change the cancellation coefficients by a step factor to produce tuned cancellation coefficients. The step factor is determined by a cancellation error gradient and one or more of: a tunable coefficient step aggressiveness factor; and a time-based forgetting factor; and cause the SI canceller to cancel the SI using the tuned cancellation coefficients.

A network device includes a transceiver configured to concurrently transmit signals and receive signals within a single frequency band resulting in radio-frequency signal interference. The device includes an analog canceler configured to mitigate the signal interference. The device includes a neural network that receives data that describes characteristics of the signal interference and provides coefficients for the analog canceler as outputs. The neural network-generated coefficients are applied to the analog canceler which uses them to cancel the signal interference.

One aspect of the present specification provides wireless communication device in a wireless communication system. The wireless communication device includes: at least one transceiver; at least one processor; and at least one computer memory operably connectable to the at least one processor and storing instructions that, based on being executed by the at least one processor, perform operations comprising: receiving, via the at least one transceiver, sidelink signal based on a NR operating band n38 or a NR operating band n47, and wherein predefined reference sensitivity value, which is based on the NR operating band n38 or the NR operating band n47, is applied to the at least one transceiver.