PEAK REDUCTION TONE ALLOCATION TECHNIQUES

    公开(公告)号:US20210377089A1

    公开(公告)日:2021-12-02

    申请号:US17331612

    申请日:2021-05-26

    Abstract: A transmitting device applies a first MCS to a first set of data tones that overlaps with a first set of PRTs within a plurality of tones, the first set of PRTs being associated with a first PAPR reduction signal. The transmitting device applies a second MCS to a second set of data tones that overlaps with a second set of PRTs within the plurality of tones, the second set of PRTs being associated with a second PAPR reduction signal. The transmitting device can transmit a transmission signal comprising the first set of data tones and the second set of data tones, the transmission signal using a waveform based at least in part on the first PAPR reduction signal and the second PAPR reduction signal.

    TONE RESERVATION FOR PEAK TO AVERAGE POWER RATIO REDUCTION

    公开(公告)号:US20210344537A1

    公开(公告)日:2021-11-04

    申请号:US17306762

    申请日:2021-05-03

    Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may receive a resource allocation indicating a plurality of transmission tones comprising a subset of data tones of a plurality of data tones and a subset of peak reduction tones (PRTs) of a plurality of PRTs, wherein the resource allocation indicates locations for the plurality of data tones and locations for the plurality of PRTs within a particular bandwidth, wherein the locations for the plurality of PRTs are arranged relative to the locations for the plurality of data tones according to a PRT subsequence of a universal PRT sequence, and wherein the PRT subsequence corresponds to a sub-band of the particular bandwidth; and transmit a data transmission using a waveform based at least in part on the resource allocation. Numerous other aspects are provided.

    MACHINE LEARNING FOR ADDRESSING TRANSMIT (Tx) NON-LINEARITY

    公开(公告)号:US20210266875A1

    公开(公告)日:2021-08-26

    申请号:US17181927

    申请日:2021-02-22

    Abstract: A method of wireless communication by a transmitting device transforms a transmit waveform by an encoder neural network to control power amplifier (PA) operation with respect to non-linearities. The method also transmits the transformed transmit waveform across a propagation channel. A method of wireless communication by a receiving device receives a waveform transformed by an encoder neural network. The method also recovers, with a decoder neural network, the encoder input symbols from the received waveform. A transmitting device for wireless communication calculates distortion error based on a non-distorted digital transmit waveform and a distorted digital transmit waveform. The transmitting device also compresses the distortion error with an encoder neural network of an auto-encoder. The transmitting device transmits to a receiving device the compressed distortion error to compensate for power amplifier (PA) non-linearity.

    Method To Convey The TX Waveform Distortion To The Receiver

    公开(公告)号:US20210266203A1

    公开(公告)日:2021-08-26

    申请号:US16914011

    申请日:2020-06-26

    Abstract: Various embodiments may employ neural networks at transmitting devices to compress transmit (TX) waveform distortion. In various embodiments, compressed TX waveform distortion information may be conveyed to a receiving device. In various embodiments, the signaling of TX waveform distortion information from a transmitting device to a receiving device may enable a receiving device to mitigate waveform distortion in a transmit waveform received from the transmitting device. Various embodiments include systems and methods of wireless communication by transmitting a waveform to a receiving device performed by a processor of a transmitting device. Various embodiments include systems and methods of wireless communication by receiving a waveform from a transmitting device performed by a processor of a receiving device.

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