A communication device includes a receiver, a transmitter and a control circuit. The receiver is configured to receive, from an infrastructure equipment of a mobile communications network, downlink signals on a downlink via a wireless access interface of the mobile communications network. The transmitter is configured to transmit, to the infrastructure equipment, uplink signals on an uplink via the wireless access interface. The control circuit is configured to control the receiver to receive the downlink signals and control the transmitter to transmit the uplink signals. The control circuit is further configured to delay a reception period for the receiver to receive the downlink signals after a transmission period in which the transmitter transmits the uplink signals when a duration of the transmission period exceeds a predetermined threshold.

Provided in embodiments of the present disclosure are a signal processing method and a device, the method comprising: sending first information to a terminal, the first information including: relation information of a TRS or a CSI-RS with an SRS, and the first information being used to indicate that the terminal adjust a sending frequency of the SRS according to a TRS or CSI-RS estimated frequency.

A carrier frequency tracking method, a signal transmission method, and a related apparatus. The carrier frequency tracking method includes: a terminal device receives a first tracking reference signal from a first transmission reception apparatus of a single frequency network cell; the terminal device receives a second tracking reference signal from a second transmission reception apparatus of the single frequency network cell, where the first tracking reference signal and the second tracking reference signal occupy different time-frequency resources; and the terminal device performs carrier frequency tracking based on at least one of the first tracking reference signal and the second tracking reference signal.

When the ultra-low power mm-scale sensor node does not have a crystal oscillator and phase-lock loop, it inevitably exhibits significant carrier frequency offset (CFO) and sampling frequency offset (SFO) with respect to the reference frequencies in the gateway. This disclosure enables efficient real-time calculation of accurate SFO and CFO at the gateway, thus the ultra-low power mm-scale sensor node can be realized without a costly and bulky clock reference crystal and also power-hungry phase lock loop. In the proposed system, the crystal-less sensor starts transmission with repetitive RF pulses with a constant interval, followed by the data payload using pulse-position modulation (PPM). A proposed algorithm uses a two-dimensional (2D) fast Fourier transform (FFT) based process that identifies the SFO and CFO at the same time to establish successful wireless communication between the gateway and crystal-less sensor nodes.

A method of modifying a common phase error (CPE) estimate of a slot including symbols, the method including receiving a CPE value corresponding to a symbol of a slot by an artificial neural network, generating a modified CPE value with the artificial neural network, and outputting the modified CPE value from the artificial neural network.

When the ultra-low power mm-scale sensor node does not have a crystal oscillator and phase-lock loop, it inevitably exhibits significant carrier frequency offset (CFO) and sampling frequency offset (SFO) with respect to the reference frequencies in the gateway. This disclosure enables efficient real-time calculation of accurate SFO and CFO at the gateway, thus the ultra-low power mm-scale sensor node can be realized without a costly and bulky clock reference crystal and also power-hungry phase lock loop. In the proposed system, the crystal-less sensor starts transmission with repetitive RF pulses with a constant interval, followed by the data payload using pulse-position modulation (PPM). A proposed algorithm uses a two-dimensional (2D) fast Fourier transform (FFT) based process that identifies the SFO and CFO at the same time to establish successful wireless communication between the gateway and crystal-less sensor nodes.

A communication device includes a receiver, a transmitter and a control circuit. The receiver is configured to receive, from an infrastructure equipment of a mobile communications network, downlink signals on a downlink via a wireless access interface of the mobile communications network. The transmitter is configured to transmit, to the infrastructure equipment, uplink signals on an uplink via the wireless access interface. The control circuit is configured to control the receiver to receive the downlink signals and control the transmitter to transmit the uplink signals. The control circuit is further configured to delay a reception period for the receiver to receive the downlink signals after a transmission period in which the transmitter transmits the uplink signals when a duration of the transmission period exceeds a predetermined threshold.

Some aspects of the present disclosure relate to detection of a Phase Hit and, upon detecting the Phase Hit, determining the magnitude and location of the Phase Hit. Detecting the Phase Hit may involve comparing a phase offset difference for successive pilot symbol to a detection threshold. Determination of the detection threshold may involve a Neyman-Pearson binary hypothesis testing (NP-BHT) approach. Once the magnitude and location of the Phase Hit are known, data symbols received after the location may be processed to remove the magnitude of the Phase Hit.

A device may selectively listen for a tracking reference signal (TRS) during connected mode discontinuous reception (CDRx) based on whether the device is to switch between repeaters of a base station (such as during travel). A device may determine whether the device is in a high speed train (HST) scenario (such as based on a difference in frequency errors generated using a synchronization signal block (SSB) and generated using a TRS, based on a trajectory of a frequency error or a frequency error difference over time, based on instantaneous frequency errors, etc.). When the device is in a HST scenario, the device listens for a TRS during CDRx, and the device generates a frequency error using the TRS. When the device is not in a HST scenario, the device prevents listening for a TRS during CDRx (with a SSB received during CDRx to be used to generate a frequency error).

Techniques for blind distributed multi-user MIMO enable simultaneous decoding of multiple concurrent wireless transmissions without the need for coordination between wireless devices or a measurement phase. Wireless devices are permitted to transmit independently and at arbitrary times. Concurrent transmissions from wireless devices superimpose in the wireless channel and are received at various base stations. The base stations forward received data samples to a central entity (e.g., a cloud computing service), which uses known preambles to reliably estimate CFOs and channels between the transmitting devices and the receiving base stations while simultaneously recovering the data samples of the individual data streams.