Abstract: To support a wide range of code rates in probabilistic shaping based modulation schemes solutions, a constellation which is at least based on a trained model is used in the modulation. Depending on an implementation the trained model may be a constellation comprising a plurality of sub-constellations with trained parameters as constellation points, or the trained model may be for generating a constellation and corresponding constellation points.

Abstract: An apparatus, method and computer program is described comprising: generating a first loss function component comprising comparing first location data with first location estimates, wherein the first location estimates are based on channel state data, wherein the first location estimates are generated using a model, and wherein the model comprises a plurality of trainable parameters; generating a second loss function component comprising comparing the first location data with second location estimates, wherein the second location estimates are based on channel state data that have been subjected to a first augmentation and wherein the second location estimates are generated using the model; generating a third loss function component comprising comparing third location estimates based on channel state data and fourth location estimates based on channel state data that have been subjected to a second augmentation, wherein the third and fourth location estimates are generated using the model; and training the tr

Abstract: According to an aspect, there is provided an apparatus comprising a combiner for combining a received analog signal with an analog dithering signal to produce a combined analog signal, a one-bit analog-to-digital converter for converting the combined analog signal to a combined digital signal, means for performing joint downsampling and feature extraction for the combined digital signal, means for implementing a trained machine-learning algorithm for calculating one or more input parameters for waveform generation at least based on one or more features extracted from the combined digital signal and a parametric waveform generator for generating the analog dithering signal based on the one or more input parameters.

Abstract: An apparatus and method is described including obtaining or generating a transmitter-training sequence of messages for a transmission system, wherein the transmission system includes a transmitter, a channel and a receiver, wherein the transmitter includes a transmitter algorithm having at least some trainable weights and the receiver includes a receiver algorithm having at least some trainable weights; transmitting perturbed versions of the transmitter-training sequence of messages over the transmission system; receiving first receiver loss function data at the transmitter, the first receiver loss function data being generated based on a received-training sequence as received at the receiver and knowledge of the transmitter training sequence of messages for the transmission system; and training at least some weights of the transmitter algorithm based on first receiver loss function data and knowledge of the transmitter-training sequence of messages and the perturbed versions of the transmitter-training seque

Abstract: This specification relates to end-to-end learning in communication systems and describes: organising a plurality of transmitter neutral networks and a plurality of receiver neural networks into a plurality of transmitter-receiver neural network pairs, wherein a transmitter-receiver neural network pair is defined for each of a plurality of subcarrier frequency bands of a multi-carrier transmission system; arranging a plurality of symbols of the multi-carrier transmission system into a plurality of transmit blocks; mapping each of said transmit blocks to one of the transmitter-receiver neural network pairs; transmitting each symbol using the mapped transmitter-receiver neural network pair; and training at least some weights of the transmit and receive neural networks using a loss function for each transmitter-receiver neural network pair.

Abstract: A method, apparatus and computer program are described includes obtaining or generating a transmitter-training sequence of messages for a first transmitter of a first module of a transmission system, wherein the transmission system includes the first module having the first transmitter and a first receiver, a second module having a second transmitter and a second receiver, and a channel, wherein the first transmitter includes a transmitter algorithm having at least some trainable weights; transmitting a perturbed version of the transmitter-training sequence of messages from the first transmitter to the second receiver over the channel of the transmission system; receiving a first loss function at the first receiver from the second transmitter, wherein the first loss function is based on the transmitted perturbed versions of the transmitter-training sequence of messages as received at the second receiver and knowledge of the transmitter-training sequence of messages for the first transmitter of the transmissio

Abstract: Embodiments of the present disclosure relate to methods, apparatuses and computer program products for signal detection in a wireless communication system. A method implemented at a receiver device includes obtaining a set of received signals; determining a channel matrix via which the set of received signals have been transported; and detecting the set of received signals in a staged manner, wherein in a stage, the method includes detecting the set of received signals, based on the channel matrix and a detection algorithm for the stage; fixing one or more of detected symbols output from the detecting algorithm for the stage; and updating the channel matrix and the set of received signals for usage by a next stage, based on the one or more of the detected symbols that are fixed in the stage.

Abstract: A receiver, a system and a method is described comprising: receiving radio frequency signals at a plurality of receiver modules, wherein each receiver module comprises a plurality of channels, each channel comprising a receiver antenna and a mixer for converting an output of the respective antenna to an analog intermediate frequency signal having a frequency; for each of the plurality of receiver modules, combining the analog intermediate frequency signals of the respective channels into a receiver module analog intermediate frequency signal; and combining the receiver module analog intermediate frequency signals for each of the plurality of receiver modules into a composite output signal, wherein the frequency of the intermediate frequency signal of each channel of each receiver module is different. A similar transmitter, method and transmission system is also described.

Abstract: Apparatuses, methods and computer programs are described including receiving a sequence of messages at a correction module of a transmission system, wherein the transmission system includes a transmitter, a channel, the correction module and a receiver, wherein the correction module includes a correction algorithm having at least some trainable weights; converting the received sequence of messages into a converted sequence of messages using the correction algorithm; receiving a reward or loss function from the receiver based on the modified sequence of messages; and training at least some weights of the correction algorithm based on the received reward or loss function.

Abstract: A method, apparatus, receiver and system provide timing synchronization during data transmission over a channel. In the context of a method, the method receives, for individual ones of a plurality of sequences of samples generated by a channel in response to transmission of corresponding frames that are comprised of a plurality of symbols including a preamble and one or more data symbols: (i) a probability vector and (ii) an indication of the sample of the respective sequence that corresponds to the particular symbol of the corresponding frame. The method determines one or more updated parameters of a frame detector of a receiver that receives the sequence of samples from the channel. The method determines one or more updated parameters of a preamble generator of a transmitter that provides the preamble for transmission over the channel.

Abstract: A method, apparatus, receiver and system provide for configurability of the modulation order of a communications system, such as an autoencoder-based communication system. With respect to a system including a transmitter and a receiver, the transmitter encodes a message into a vector of channel symbols for transmission via a channel. The message is encoded pursuant to a modulation order m that is adjustable up to a maximum modulation order Mmax. The receiver receives a vector of samples generated by the channel and determines a first prediction vector for the message encoded by the transmitter. The receiver includes a slicing layer to eliminate one or more elements of the first prediction vector if the modulation order m is less than the maximum modulation order Mmax so as to generate a second prediction vector tailored to the modulation order from which a prediction of the message encoded by the transmitter is identified.

Abstract: Apparatuses, systems and methods are described including: converting generator inputs to a generator output vector using a generator, wherein the generator is a model of a channel of a data transmission system and wherein the generator comprises a generator neural network; selectively providing either the generator output vector or an output vector of the channel of the data transmission system to an input of a discriminator, wherein the discriminator comprises a discriminator neural network; using the discriminator to generate a probability indicative of whether the discriminator input is the channel output vector or the generator output vector; and training at least some weights of the discriminator neural network using a first loss function and training at least some weights of the generator neural network using a second loss function in order to improve the accuracy of the model of the channel.

Abstract: A method, apparatus, receiver and system provide timing synchronization during data transmission over a channel. In the context of a method, the method receives, for individual ones of a plurality of sequences of samples generated by a channel in response to transmission of corresponding frames that are comprised of a plurality of symbols including a preamble and one or more data symbols: (i) a probability vector and (ii) an indication of the sample of the respective sequence that corresponds to the particular symbol of the corresponding frame. The method determines one or more updated parameters of a frame detector of a receiver that receives the sequence of samples from the channel. The method determines one or more updated parameters of a preamble generator of a transmitter that provides the preamble for transmission over the channel.

Abstract: A method and devices for configuring a data transmission network are disclosed.

Abstract: The embodiments of the invention relate to a transmitter method for multiple antenna systems. The transmitter method contains the step of operating at least one antenna array in a first operation mode by transmitting first transmit signals (TS1-1, TS1-a, TS1-A) from a first number of antenna elements (AEG1) with a first transmit power and the step of operating the at least one antenna array in at least one second operation mode by transmitting at least second transmit signals (TS2-1, TS2-b, TS2-B, TS3-1, TS3-C, TS3-C) from at least one second number of antenna elements (AEG2, AEG3) smaller than the first number of antenna elements with at least one second transmit power larger than the first transmit power. The embodiments of the invention further relate to a transmitter apparatus for multiple antenna systems.

Abstract: The embodiments of the invention relate to a transmitter method for multiple antenna systems. The transmitter method contains the step of operating at least one antenna array in a first operation mode by transmitting first transmit signals (TS1-1, TS1-a, TS1-A) from a first number of antenna elements (AEG1) with a first transmit power and the step of operating the at least one antenna array in at least one second operation mode by transmitting at least second transmit signals (TS2-1, TS2-b, TS2-B, TS3-1, TS3-C, TS3-C) from at least one second number of antenna elements (AEG2, AEG3) smaller than the first number of antenna demeats with at least one second transmit power larger than the first transmit power. The embodiments of the invention further relate to a transmitter apparatus for multiple antenna systems.