A first communication device generates a beamforming training initiator packet for transmission in the wireless communication network, the beamforming training initiator packet including i) information indicating a start of a beamforming training session, and ii) respective identifiers of multiple second communication devices that are to process beamforming training packets transmitted by the first communication device during the beamforming training session. The first communication device transmits the beamforming training initiator packet, and after transmitting the beamforming training initiator packet, transmits a plurality of beamforming training packets during the beamforming training session.

The present disclosure is directed to systems, apparatuses, and methods for performing continuous or periodic link training. Existing link training protocols generally perform link training only once during startup or initialization of a link and, as a result, are limited in their applications. After link training is performed and Open Systems Interconnect (OSI) data link layer and other high-layer data is transmitted across the link, no further link training is performed using these existing link training protocols. However, parameters of the link may change over time after link training is performed, such as temperature of the link and voltage levels of signals transmitted over the link by the transmitter of the transmitter-receiver pair.

Apparatus and associated methods relate to using a high learning rate to speed up the training of a receiver and switching from a high learning rate to a low learning rate for fine tuning based on exponentially weighted moving average convergence. In an illustrative example, a selection circuit may switch the high learning rate to the low learning rate based on a comparison of a moving average difference e.sub.n to a predetermined stability criteria T.sub.1 of the receiver. The moving average difference e.sub.n may include an exponentially weighted moving average of a difference between two consecutive exponentially weighted moving averages of an operation parameter u.sub.n of the signal communication channel. By using this method, the training time for the receiver may be advantageously reduced.

A network node may transmit a training signal for a UE on a plurality of sub-carriers, the training signal transmitted via multiple IQ modulators and multiple RF antenna panels and receive a feedback associated with an FDRSB based on the training signal. The network node may apply an FDRSB correction filter to at least one signal to be transmitted to the UE, and the FDRSB correction filter may be based on the feedback received from the UE. The training signal may include at least one tone transmitted on a first subset of sub-carriers of the plurality of sub-carriers, the first subset of sub-carriers being configured symmetric to a second subset of sub-carriers with respect to a center frequency of the plurality of sub-carriers, and the second subset of sub-carriers being free of the at least one tone of the training signal.

Systems, methods, apparatuses, and computer program products for reducing data port downtime are provided. An example network interface device of the present disclosure includes a first data port and a second data port. The network interface device performs a first link training process associated with the first data port coupled to a first communication link to determine a first communication parameter set for the first communication link. The network interface device then deactivates the first data port and performs a second link training process associated the second data port coupled to a second communication link to determine a second communication parameter set. Based on a network usage parameter set associated with a data plane of the network interface device, the network interface device determines whether to activate the first data port concurrently with the second data port.

A network node may transmit a training signal for a UE on a plurality of sub-carriers, the training signal transmitted via multiple IQ modulators and multiple RF antenna panels and receive a feedback associated with an FDRSB based on the training signal. The network node may apply an FDRSB correction filter to at least one signal to be transmitted to the UE, and the FDRSB correction filter may be based on the feedback received from the UE. The training signal may include at least one tone transmitted on a first subset of sub-carriers of the plurality of sub-carriers, the first subset of sub-carriers being configured symmetric to a second subset of sub-carriers with respect to a center frequency of the plurality of sub-carriers, and the second subset of sub-carriers being free of the at least one tone of the training signal.

A communication device communicates a physical (PHY) frame including a preamble and a data field. The preamble includes a Legacy Short Training Field (L-STF), a Legacy Long Training Field (L-LTF), a Legacy Signal Field (L-SIG), an EHT Signal Field (EHT-SIG-A), an EHT Short Training Field (EHT-STF), and an EHT Long Training Field (EHT-LTF), and the EHT-SIG-A includes fields indicating a modulation scheme and information indicating which one of a UC (Uniform Constellation) scheme and an NUC (Non Uniform Constellation) scheme is used as the modulation scheme, and the data field includes data that has undergone modulation corresponding to the modulation scheme and the information indicated by the fields.

The present disclosure provides a method for estimating timing and/or frequency of a wireless signal; the method including the steps: receiving a digitally modulated signal; extracting a plurality of signal samples associated with a short training field (STF) of a PHY protocol data unit (PPDU) of an 802.11 frame; performing correlation operations on the plurality of signal samples to generate a predetermined number of correlation peaks; comparing the generated correlation peaks with a variable dynamic threshold; and calculating timing and/or frequency of the digitally modulated signal using the outcome of the comparing step.

The present disclosure provides a method for estimating timing and/or frequency of a wireless signal; the method including the steps: receiving a digitally modulated signal; extracting a plurality of signal samples associated with a short training field (STF) of a PHY protocol data unit (PPDU) of an 802.11 frame; performing correlation operations on the plurality of signal samples to generate a predetermined number of correlation peaks; comparing the generated correlation peaks with a variable dynamic threshold; and calculating timing and/or frequency of the digitally modulated signal using the outcome of the comparing step.

The present disclosure provides a method for estimating timing and/or frequency of a wireless signal; the method including the steps: receiving a digitally modulated signal; extracting a plurality of signal samples associated with a short training field (STF) of a PHY protocol data unit (PPDU) of an 802.11 frame; performing correlation operations on the plurality of signal samples to generate a predetermined number of correlation peaks; comparing the generated correlation peaks with a variable dynamic threshold; and calculating timing and/or frequency of the digitally modulated signal using the outcome of the comparing step.