Direct channel characterization for discontinuous time-frequency operation

    公开(公告)号:US11637588B2

    公开(公告)日:2023-04-25

    申请号:US17077598

    申请日:2020-10-22

    Abstract: A wired communication systems, a subscriber device and a method, and more specifically related to initialization and/or update of communication parameters used for communication through the wired communication systems. An access node comprises at least one processor and memory storing instructions that when executed by the at least one processor cause a local transceiver of the access node to transmit signaling data via a subscriber line to a remote transceiver, the signaling data identifying particular symbol positions within a sequence of symbols transmitted over the subscriber line during show-time as being suitable for characterizing a direct communication channel between the local transceiver and the remote transceiver.

    Communication-channel tracking aided by reinforcement learning

    公开(公告)号:US11128498B2

    公开(公告)日:2021-09-21

    申请号:US16800124

    申请日:2020-02-25

    Abstract: A digital circuit for implementing a channel-tracking functionality, in which an adaptive (e.g., FIR) filter is updated based on reinforcement learning. In an example embodiment, the adaptive filter may be updated using an LMS-type algorithm. The digital circuit may also include an electronic controller configured to change the convergence coefficient of the LMS algorithm using a selection policy learned by applying a reinforcement-learning technique and based on residual errors and channel estimates received over a sequence of iterations. In some embodiments, the electronic controller may include an artificial neural network. An example embodiment of the digital circuit is advantageously capable of providing improved performance after the learning phase, e.g., for communication channels exhibiting variable dynamicity patterns, such as those associated with aerial copper cables or some wireless channels.

    Communication-channel tracking aided by reinforcement learning

    公开(公告)号:US11095486B1

    公开(公告)日:2021-08-17

    申请号:US16800124

    申请日:2020-02-25

    Abstract: A digital circuit for implementing a channel-tracking functionality, in which an adaptive (e.g., FIR) filter is updated based on reinforcement learning. In an example embodiment, the adaptive filter may be updated using an LMS-type algorithm. The digital circuit may also include an electronic controller configured to change the convergence coefficient of the LMS algorithm using a selection policy learned by applying a reinforcement-learning technique and based on residual errors and channel estimates received over a sequence of iterations. In some embodiments, the electronic controller may include an artificial neural network. An example embodiment of the digital circuit is advantageously capable of providing improved performance after the learning phase, e.g., for communication channels exhibiting variable dynamicity patterns, such as those associated with aerial copper cables or some wireless channels.

    Dynamic resource allocation aided by reinforcement learning

    公开(公告)号:US11616736B2

    公开(公告)日:2023-03-28

    申请号:US17124533

    申请日:2020-12-17

    Abstract: A communication system in which DRA control is aided by RL. An example embodiment may control one or more buffer queues populated by downstream and/or upstream data streams. The egress rates of the buffer queues can be dynamically controlled using an RL technique, according to which a learning agent can adaptively change the state-to-action mapping function of the DRA controller while circumventing the RL exploration phase and relying on extrapolation of the already taken actions instead. This feature may result in at least two benefits: (i) cancellation of a performance penalty typically associated with RL exploration; and (ii) faster learning of the environment, as the learning agent can determine the performance metrics of many actions per state in a single occurrence of the state. In an example embodiment, the communication system may be a DSL system, a PON system, or a wireless communication system.

    Use of vectoring and time- and/or frequency—division multiple access in a multi-user connection

    公开(公告)号:US10998932B2

    公开(公告)日:2021-05-04

    申请号:US16246989

    申请日:2019-01-14

    Abstract: A multi-line digital transceiver configured to use digital signal vectoring in a manner that causes effects of crosstalk between distinct groups of subscriber lines to be effectively mitigated, without directly attempting to mitigate effects of crosstalk within any one of those distinct groups. In an example embodiment, effects of crosstalk within each of the distinct groups can be mitigated indirectly using an appropriate T/FDMA schedule, according to which, during a given symbol period, a given resource block of any of the distinct groups can carry data corresponding to a single respective subscriber. A precoder (postcoder) matrix for the digital signal vectoring can be generated using block-diagonalization techniques appropriately constrained, e.g., using the groups' definitions, aggregate-transmit-power restrictions, etc. In various embodiments, the disclosed digital signal vectoring can be used on the downlink or on the uplink, or both.

    Discontinuous time-frequency operation

    公开(公告)号:US11909510B2

    公开(公告)日:2024-02-20

    申请号:US17142994

    申请日:2021-01-06

    CPC classification number: H04J1/12 H04J11/00

    Abstract: Example embodiments describe means (200) for performing i) pre-compensating (210, N sets of K1 tone data values (220) for crosstalk between N communication lines; the N sets of K1 tone data values pertaining to respective N terminal nodes of a digital communication system; ii) calculating (215) from the pre-compensated N sets of K1 tone data values (221) N sets of first time domain symbols (225); iii) calculating (283) a second time domain symbol (284) from a set of K2 tones values (280); the K2 tone data values pertaining to a selected one of the N terminal nodes; and iv) adding (212) the second time domain symbol in a weighted manner to the first time domain symbols such that the second time domain symbol is added to the first time domain symbol for the selected terminal node and to at least one other of the first time domain symbols for the respective other terminal nodes.

    DYNAMIC RESOURCE ALLOCATION AIDED BY REINFORCEMENT LEARNING

    公开(公告)号:US20220200932A1

    公开(公告)日:2022-06-23

    申请号:US17124533

    申请日:2020-12-17

    Abstract: A communication system in which DRA control is aided by RL. An example embodiment may control one or more buffer queues populated by downstream and/or upstream data streams. The egress rates of the buffer queues can be dynamically controlled using an RL technique, according to which a learning agent can adaptively change the state-to-action mapping function of the DRA controller while circumventing the RL exploration phase and relying on extrapolation of the already taken actions instead. This feature may result in at least two benefits: (i) cancellation of a performance penalty typically associated with RL exploration; and (ii) faster learning of the environment, as the learning agent can determine the performance metrics of many actions per state in a single occurrence of the state. In an example embodiment, the communication system may be a DSL system, a PON system, or a wireless communication system.

    Low complexity precoder
    10.
    发明授权

    公开(公告)号:US11963111B2

    公开(公告)日:2024-04-16

    申请号:US18237025

    申请日:2023-08-23

    CPC classification number: H04W52/42 H04B7/0456 H04W52/34

    Abstract: An apparatus is disclosed, which may include: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to perform: receiving downlink channel estimates between a plurality of access point (AP) antennas of one or more APs and a plurality of user equipment (UE) antennas of one or more UEs; iteratively updating a set of power allocation weights for the AP antennas using weights extracted from a precoder; computing the precoder based on the received channel estimates and a previous set of power allocation weights; performing the iterative updates until a stopping criterion is reached; and outputting data representative of a precoder computed from the received channel estimates and the updated set of power allocation weights.

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