Abstract: A method for training a reinforcement learning model forming a channel switching agent in a wireless communication network. The method includes: obtaining a predicted quality of service indicator for one or more channels of a wireless network for a future period of time; providing the predicted quality of service indicator as input to a reinforcement learning model which is configured to provide an output related to a channel selection for the first communication link; if the output indicates a selection of a new channel different from the currently active channel for the first communication link, initiating a channel switching procedure for the first communication link to a second channel; obtaining measurement results indicating a current quality of service for at least the first communication link; determining a reward for the reinforcement learning model based on the obtained measurement results; and adapting the reinforcement learning model based on the reward.

Abstract: A computer-implemented method for a terminal device. The method includes: providing, by a terminal device, a first information characterizing a position of the terminal device, performing at least one sidelink-based positioning procedure associated with at least one further terminal device.

Abstract: A method, for example a computer-implemented method, for determining a position of a terminal device. The method includes: determining, by a network device, a position of a first terminal device, determining, by the network device, a position of a second terminal device, and initiating, by the network device, at least one sidelink-based positioning procedure associated with at least one of the first terminal device and the second terminal device.

Abstract: A computer-implemented method for transmitting information. The method includes: transmitting, by a network device, a first information to a first terminal device, the first information instructing the first terminal device to perform at least one sidelink-based positioning procedure associated with at least one further terminal device, receiving second information from at least one of a) the first terminal device and b) the at least one further terminal device, the second information characterizing at least one result of the at least one sidelink-based positioning procedure.

Abstract: A method for operating a first apparatus. The method includes: collecting at least one first radio traffic data set that is associated with a utilization of at least one radio channel; training a machine-trainable function based on the collected at least one first radio traffic data set; collecting at least one second radio traffic data set, which is associated with the utilization of the at least one radio channel, wherein the second traffic data set is different from the first data set; determining, using the machine-trained function, at least one utilization scheme associated with the at least one radio channel based on the at least one second radio traffic data set; allocating at least one radio resource on the at least one radio channel according to the determined utilization scheme; and transmitting data via the at least one allocated radio resource of the at least one radio channel.

Abstract: A method for operating a first apparatus. The method includes: training at least one trainable function that is associated with the first apparatus and that is associated with at least one radio channel, and obtaining at least one trained function; collecting at least one radio traffic data set that is associated with a utilization of the at least one radio channel; determining, using the at least one trained function, at least one utilization scheme that is associated with the first apparatus based on the collected at least one radio traffic data set; monitoring whether at least one conflict control indicator is received, and determining at least one monitoring result from the monitoring; allocating radio resources of the at least one radio channel based on the monitoring result and based on the determined utilization scheme; and transmitting data via the allocated radio resources of the at least one radio channel.

Abstract: Methods and apparatuses for radio communication. The method comprises: transmitting first information that characterizes at least one quality associated with a downlink channel received by a radio terminal; and transmitting second information that characterizes a present or future environmental situation of a physical entity that is associated with the radio terminal.

Abstract: An apparatus, method and computer program is described comprising: initialising trainable parameters of a transmission system having a transmitter, a channel and a receiver; generating training symbols on the basis of a differentiable distribution function; transmitting modulated training symbols to the receiver over the channel in a training mode; generating a loss function based on the generated training symbols and the modulated training symbols as received at the receiver of the transmission system; and generating updated parameters of the transmission system in order to minimise the loss function.

Abstract: A wireless system includes a controller that is configured to measure a first Reference Signal Received Power (RSRP1) from a first carrier at a first time, measure a second Reference Signal Received Power (RSRP2) from a second carrier at a second time, annotate the RSRP1 to the first carrier and the RSRP2 to the second carrier, in response to the first time and the second time being within a contemporaneous period, associate the RSRP1 and RSRP2 to the contemporaneous period, create an N-Dimension vector of RSRP1 and RSRP2 at the contemporaneous period, process the N-Dimension vector via a trainable function to obtain a predicted data rate, and in response to the predicted data rate falling below a normal operating range threshold, operate the system in a low bandwidth mode.

Abstract: An apparatus, method and computer program is described including circuitry configured for using a transmitter algorithm to convert one or more inputs at a transmitter of a transmission system into one or more data symbols, wherein: the transmission system includes the transmitter implementing said transmitter algorithm, a channel and a receiver including a receiver algorithm; the transmitter algorithm includes trainable parameters for converting one or more received data symbols into one or more outputs; and the transmitter algorithm is stochastic.

Abstract: An apparatus, method and computer program is described comprising: initialising trainable parameters of a transmission system having a transmitter, a channel and a receiver; generating training symbols on the basis of a differentiable distribution function; transmitting modulated training symbols to the receiver over the channel in a training mode; generating a loss function based on the generated training symbols and the modulated training symbols as received at the receiver of the transmission system; and generating updated parameters of the transmission system in order to minimise the loss function.