A wireless device may select, based on a first group of search space sets for monitoring control resource sets (coresets) and a second group of search space sets for monitoring the coresets, reference signals, associated with the first group of search space sets, for link monitoring in both a first mode and a second mode. In the first mode, the first group of search space sets are monitored and the second group of search space sets are unmonitored. In the second mode, the first group of search space sets are unmonitored and the second group of search space sets are monitored. The wireless device may measure, both in the first mode and the second mode, the reference signals for the link monitoring.

A receiver includes an interface and a processor. The interface is configured to receive a signal including symbols carrying bit values in respective symbol intervals, and to convert the received signal into a serial sequence of digital samples, the received signal being modulated using a Differential Manchester Encoding (DME) scheme that (i) represents a first bit value by a first symbol type having a level transition in the corresponding symbol interval and (ii) represents a second bit value by a second symbol type having a constant level in the corresponding symbol interval. The processor is configured to derive an error signal from the digital samples, and to produce a quality measure of the received signal based on the derived error signal.

There is provided a solution for employing a neural network in a radio receiver. According to an aspect, a method comprises: acquiring, from a received frame, a set of samples associated with a position of a control information element in the frame; inputting the set of samples to nodes of an input layer of a neural network, the input layer having the same number of nodes as a number of samples in the set of samples; processing the set of samples in the neural network that has been trained, before receiving the set of samples, to decode one or more determined values of the control information element and to detect discontinuous transmission; outputting, in an output layer of the neural network, an indicator indicating a decoded value of the control information element comprised in the set of samples or an indicator indicating the discontinuous transmission.

Provided is a method of transmitting scheduling control information on a physical uplink shared channel by a base station. The method includes transmitting control information indicating a specific modulation and coding scheme (MCS) index corresponding to modulation and coding scheme (MCS) information to be applied to the physical uplink shared channel through a physical downlink control channel, and receiving the physical uplink shared channel modulated based on specific MCS information determined using one of two or more MCS tables containing the specific MCS index and modulation order information corresponding to at least the MCS index.

The present invention relates to a communications channel adaptation method for URLLC services which is configured for ensuring reliability when implementing said URLLC services and executed in a communications system with at least one transmitter node (eNode) and a receiver or mobile terminal, wherein the receiver or mobile terminal measures the desired signal-to-interference ratio (SIR) from the reference signal received in instant t=i−1 and saves this SIR value (SIR.sub.i-1) in a memory; wherein based on this SIR value in instant t=i−1 (SIR.sub.i-1), a CQI value (CQI.sub.i-1) is determined and sent to the transmitter node (eNode), which selects the modulation and coding format in the subsequent transmission (MCS.sub.i) in the downlink according to that CQI measured in instant t=i-1 (CQI.sub.i-1); and wherein upon receiving in instant t=i the data packet sent by the transmitter node (eNode), the receiver terminal measures the SIR (SIR.sub.i) and saves it in a memory.

Embodiments of the present disclosure describe apparatuses, methods and machine-readable storage medium for beam reporting, beam indication and scheduling of data transmission during beam management.

A method of communicating information from a sensor concerning a received signal, comprising: responsive to receiving by at least one detecting sensor, during a defined time interval, data indicative of an entire data of a frequency band received by it during the defined time interval, comprising at least one signal emitted at least one emitter, and to detecting of the emitted signal by the at least one detecting sensor, sending from the sensor assistance information corresponding to the detected emitted signal during the defined time interval, to at least one non-detecting sensor. This information can be utilized by the non-detecting sensor to perform an action with respect to data indicative of an entire data of the frequency band received by the non-detecting sensor during a corresponding defined time interval, the action corresponding to at least one emitted signal received by the non-detecting sensor during the corresponding defined time interval.

Some embodiments of the present disclosure provide a user equipment (UE) having active device components and passive device components. Responsive to receiving downlink (DL) transmissions in time division duplexing (TDD) mode, the active device components perform DL decoding while the passive device components perform passive transmission of ACK/NACK data. Such passive transmission may involve encoding the ACK/NACK data in an altered version of received radio frequency (RF) signals and using so-called backscatter communications to reflect the received RF signals, with alteration, using the same frequency resources used to receive the DL transmissions.

The disclosure relates to a mobile communication device circuitry, comprising: a radio receiver configured to receive a plurality of channel state information (CSI) measurement requests, each CSI measurement request triggering a CSI measurement; and a processor configured to process the plurality of CSI measurement triggers within a CSI reporting period according to a CSI computation scheduling which is based on a multi-service priority queue of multi-size jobs, each job corresponding to a respective CSI measurement trigger.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learned communication over radio frequency (RF) channels. One method includes: determining an encoder and a decoder, at least one of which is configured to implement an encoding or decoding that is based on at least one of an encoder machine-learning network or a decoder machine-learning network that has been trained to encode or decode information over a communication channel; determining first information; using the encoder to process the first information and generate a first RF signal; transmitting, by at least one transmitter, the first RF signal through the communication channel; receiving, by at least one receiver, a second RF signal that represents the first RF signal altered by transmission through the communication channel; and using the decoder to process the second RF signal and generate second information as a reconstruction of the first information.