Abstract: Apparatuses, systems, and methods for transmitting and multiplexing chirp signals for communications are provided. An example apparatus includes an antenna, a radio, and processing circuitry. The radio may be configured to transmit and receive wireless communications via the antenna, and the processing circuitry configured to establish a wireless communications link with a receiving communications device. The signaling transmitted by the antenna via the radio as controlled by the processing circuitry may include a plurality of sequenced chirp signals within an orthogonal frequency division multiplexing (OFDM) framework.

Abstract: A new layer tailored for Artificial Intelligence-based communication systems to limit the instantaneous peak power for the signals that relies on manipulation of complementary sequences through neural networks. Disclosed is a method for providing non-linear distortion in end-to-end learning communication systems, the communication system comprising a transmitter and a receiver. The method includes mapping transmitted information bits to an input of a first neural network; controlling, by an output of the neural network, parameters of a complementary sequence (CS) encoder, producing an encoded CS; transmitting the encoded CS through an orthogonal frequency division multiplexing (OFDM) signal; processing, by Discrete Fourier Transform (DFT), the encoded CS, to produce a received information signal in a frequency domain; and processing, by a second neural network, the received information signal.

Abstract: Apparatuses, systems, and methods for transmitting and multiplexing chirp signals for communications are provided. An example apparatus includes an antenna, a radio, and processing circuitry. The radio may be configured to transmit and receive wireless communications via the antenna, and the processing circuitry configured to establish a wireless communications link with a receiving communications device. The signaling transmitted by the antenna via the radio as controlled by the processing circuitry may include a plurality of sequenced chirp signals within an orthogonal frequency division multiplexing (OFDM) framework.

Abstract: A new layer tailored for Artificial Intelligence-based communication systems to limit the instantaneous peak power for the signals that relies on manipulation of complementary sequences through neural networks. Disclosed is a method for providing non-linear distortion in end-to-end learning communication systems, the communication system comprising a transmitter and a receiver. The method includes mapping transmitted information bits to an input of a first neural network; controlling, by an output of the neural network, parameters of a complementary sequence (CS) encoder, producing an encoded CS; transmitting the encoded CS through an orthogonal frequency division multiplexing (OFDM) signal; processing, by Discrete Fourier Transform (DFT), the encoded CS, to produce a received information signal in a frequency domain; and processing, by a second neural network, the received information signal.

Abstract: Disclosed are methods and apparatus for use in a synchronous CDMA communications system (10) that employs orthogonal pn spreading codes. The methods are intended for synchronizing transmissions from a subscriber unit (SU 14) to a radio base unit (RBU 12), and include the steps of: (a) transmitting individual ones of a plurality of bursts from the SU to the RBU, each burst being transmitted with a different pn spreading code timing alignment; (b) receiving individual ones of the plurality of bursts with the RBU and determining a power estimate of each received burst; and (c) in response to a determined power estimate of one of the bursts exceeding a threshold, sending a message from the RBU to the SU. The message indicates that the SU is to use for subsequent transmissions the pn spreading code timing alignment that was employed when transmitting the burst that exceeded the threshold.