Systems and methods for wireless signal configuration by a neural network

    公开(公告)号:US12021572B2

    公开(公告)日:2024-06-25

    申请号:US18080932

    申请日:2022-12-14

    摘要: A wireless network can generate candidate signal configurations for physical transmissions to or from a user equipment (UE) in a radio environment. The generation of candidate signal configurations can be performed using a first neural network that is associated with the UE. These signal configurations can then be evaluated using a second neural network that is associated with the radio environment. The second neural network can be trained using measurements from previous physical transmissions in the radio environment. The trained second neural network generates a reward value that is associated with the candidate signal configurations. The first neural network is then trained using the reward values from the second neural network to produce improved candidate signal configurations. When a signal configuration that produces a suitable reward value is generated, this signal configuration can be used for the physical transmission in the radio environment.

    Encoding and decoding source information using a distribution channel encoder and decoder

    公开(公告)号:US11424856B2

    公开(公告)日:2022-08-23

    申请号:US16929477

    申请日:2020-07-15

    摘要: A method and apparatus for encoding source information for transmission over a transmission channel is disclosed. The method involves causing a source encoder to generate a plurality of feature probability distributions representing aspects of the source information. The method also involves receiving the plurality of feature probability distributions at an input of a distribution channel encoder, the distribution channel encoder being implemented using a polarization stream network. The method further involves causing the distribution channel encoder to transform the plurality of feature probability distributions into a dimension-extended output plurality of distribution codewords for transmission over the transmission channel. Methods and apparatus for decoding the output plurality of distribution codewords to regenerate the source information is also disclosed.

    Systems and methods for wireless signal configuration by a neural network

    公开(公告)号:US11533115B2

    公开(公告)日:2022-12-20

    申请号:US16412908

    申请日:2019-05-15

    摘要: A wireless network can generate candidate signal configurations for physical transmissions to or from a user equipment (UE) in a radio environment. The generation of candidate signal configurations can be performed using a first neural network that is associated with the UE. These signal configurations can then be evaluated using a second neural network that is associated with the radio environment. The second neural network can be trained using measurements from previous physical transmissions in the radio environment. The trained second neural network generates a reward value that is associated with the candidate signal configurations. The first neural network is then trained using the reward values from the second neural network to produce improved candidate signal configurations. When a signal configuration that produces a suitable reward value is generated, this signal configuration can be used for the physical transmission in the radio environment.

    Hybrid message-passing-algorithm-based deep learning neural network for a massive beam-forming system

    公开(公告)号:US11361223B2

    公开(公告)日:2022-06-14

    申请号:US16937863

    申请日:2020-07-24

    IPC分类号: G06N3/08 H04B7/06

    摘要: A multi-beam transmission method is provided for transmitting using an N-beam transmitter to a receiver having K receive beams. In the transmitter, a non-linear encoder implemented by a machine learning block, and a linear encoder are trained using gradient descent back propagation that relies on feedback from the receiver. For each input to be transmitted the machine learning block is used to process the input to produce N/K sets of L outputs. The linear encoder is used to perform linear encoding on each set of L outputs to produce a respective set of K outputs so as to produce N/K sets of K encoded outputs overall and N encoded outputs overall. One of the N/K sets of K outputs from each set of K beams. In order to allow a generalization to different SNRs, and to allow for time varying channel conditions, the non-linear layers, implemented in the non-linear encoder, are responsible for extracting features and regenerating the features, while the linear layers implemented in the linear encoder, are responsible for more generalization.

    Multiple access wireless communications using a non-gaussian manifold

    公开(公告)号:US11252004B2

    公开(公告)日:2022-02-15

    申请号:US16834494

    申请日:2020-03-30

    摘要: A method and apparatus for multiple-access wireless transmission is disclosed. The method involves mapping a plurality of signals onto a multi-dimensional non-Gaussian source manifold, the plurality of signals including signals targeted for transmission to a plurality of receivers. The method also involves transforming the source manifold into a multi-dimensional target manifold using a polarization stream network. The method further involves generating a multiple-access transmission waveform for transmission to the plurality of receivers, the multiple-access transmission waveform being based on the target manifold.

    Reduced-stage polar decoding
    9.
    发明授权

    公开(公告)号:US10447435B2

    公开(公告)日:2019-10-15

    申请号:US15651390

    申请日:2017-07-17

    申请人: Wuxian Shi Yiqun Ge

    发明人: Wuxian Shi Yiqun Ge

    摘要: In reduced-stage polar decoding, a received word that is based on an N-bit codeword of a polar code is decoded using fewer than log2N Log Likelihood Ratio (LLR) stages. Decoding uses a reduced stage decoding configuration. In an embodiment, such a configuration includes at least one higher-order LLR stage with nodes implementing functions that are based on a combination of lower-order polar code kernels.

    METHOD OF REDUCED STATE DECODING AND DECODER THEREOF
    10.
    发明申请
    METHOD OF REDUCED STATE DECODING AND DECODER THEREOF 审中-公开
    减少状态解码的方法及其解码器

    公开(公告)号:US20170019222A1

    公开(公告)日:2017-01-19

    申请号:US15203498

    申请日:2016-07-06

    申请人: Yiqun Ge Wuxian Shi

    发明人: Yiqun Ge Wuxian Shi

    IPC分类号: H04L5/00 H04B7/26

    CPC分类号: H04L5/0007 H04B7/2628

    摘要: Methods and devices are disclosed for receiving and decoding sparsely encoded data sequences using a message passing algorithm (MPA) or maximum likelihood sequence estimation (MLSE). Such data sequences may be used in wireless communications systems supporting multiple access, such as sparse code multiple access (SCMA) systems. The Methods and devices reduce the number of states in a search space for each received signal and associated function node based on a search threshold based on a characteristic related to the received signal and/or to a quality of a resource element over which the received signal is transmitted.

    摘要翻译: 公开了使用消息传递算法(MPA)或最大似然序列估计(MLSE)来接收和解码稀疏编码的数据序列的方法和装置。 这样的数据序列可以用于支持多个接入的无线通信系统,例如稀疏码多址(SCMA)系统。 方法和装置基于与接收信号相关的特征和/或资源元素的质量,基于搜索阈值来减少每个接收信号和相关联功能节点在搜索空间中的状态数量, 被传送。