Methods, apparatus and systems for wireless communication are described. One example method includes estimating, based on channel quality information for a first communication channel during a first time interval, a predicted quality of a second communication channel during a second time interval that is a latency interval after the first time interval and using the predicted quality for processing transmissions on the second communication channel during the second time interval.

This application provides a modulation and coding scheme (MCS) selection method. In the method, a first communication device determines a predicted block error rate that corresponds to each MCS of a plurality of MCSs at a transmission time interval (TTI) 1 by using a neural network model, where a prediction parameter that corresponds to each MCS includes a channel parameter and the MCS. The first communication device selects, from the plurality of MCSs based on the plurality of MCSs and the predicted block error rate that corresponds to each MCS, a target MCS that corresponds to the TTI 1, and sends data to a second communication device at the TTI 1 based on the target MCS. The method disclosed herein helps improve channel transmission performance.

The present disclosure generally relates to systems, methods and software for quantitatively evaluating an improvement on an active communication network when an impairment, such as a developing impairment, is addressed by one or more repair options via proactive network maintenance.

A faulted message element in 5G or 6G can often be identified according to its modulation parameters, including a large deviation of the branch amplitudes from the predetermined amplitude levels of the modulation scheme, and/or the SNR of the branch amplitudes, and/or an amplitude variation of the raw signal or the branches during the message element, and/or an inconsistency between the modulation state as determined by the amplitude and phase of the raw waveform versus the amplitudes of the orthogonal branch signals, among other measures of modulation quality. An AI model may be necessary to correlate the various quality measures, and optionally to determine the correct demodulation of faulted message elements. Costly, time-consuming retransmissions may be avoided by determining the correct demodulation of each message element at the receiver, thereby improving throughput and reliability with fewer delays.

A profile optimizing method is provided for a downstream channel transmission of active subcarriers to user devices. The method includes steps of receiving channel measurement data from each user device for each subcarrier, calculating a maximum bit-loading value for each user device per subcarrier, grouping the user devices into a plurality of clusters based on a proximity of the maximum bit-loading values of a first user device to those of a second user device within the particular cluster, assigning each user device within the particular cluster to a single cluster profile. A plurality of single cluster profiles for the plurality of clusters forms a set of cluster profiles. The method further includes steps of determining a channel capacity ratio for the set of cluster profiles, and combining at least two single profiles of the set of cluster profiles into a coalesced profile pair.

Techniques for improved wireless reliability are provided. Data is transmitted to a client device using a first set of retry parameters. It is determined that the client device is an augmented reality (AR) or virtual reality (VR) device, and a second set of retry parameters is determined, where the second set of retry parameters are more robust than the first set of retry parameters. Data is transmitted to the client device using the second set of retry parameters.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a set of reference signals from a base station and may determine a first set of channel state parameters. The UE may determine one or more preprocessed decoder parameters based on a downlink channel decoder of the UE and may perform one or more signal processing operations to determine one or more adjustment values for the first set of channel state parameters. The UE may transmit an indication of a the one or more adjustment values to the base station. In some implementations, the UE may transmit an indication of the one or more preprocessed decoder parameters to the base station and the base station may perform the one or more signal processing operations to determine the one or more adjustment values.

A profile optimizing method is provided for a downstream channel transmission of active subcarriers to user devices. The method includes steps of receiving channel measurement data from each user device for each subcarrier, calculating a maximum bit-loading value for each user device per subcarrier, grouping the user devices into a plurality of clusters based on a proximity of the maximum bit-loading values of a first user device to those of a second user device within the particular cluster, assigning each user device within the particular cluster to a single cluster profile. A plurality of single cluster profiles for the plurality of clusters forms a set of cluster profiles. The method further includes steps of determining a channel capacity ratio for the set of cluster profiles, and combining at least two single profiles of the set of cluster profiles into a coalesced profile pair.

A faulted 5G/6G message may be recovered by finding the faulted message elements and altering them until the fault is corrected. Disclosed are methods to evaluate the modulation quality of each message element using multiple criteria. The receiver can determine a first quality by measuring the overall (sum-signal) amplitude and phase of each message element, and comparing to the predetermined amplitude and phase levels. The receiver can determine a second quality by separating the overall wave into orthogonal components (branches) and comparing the branch amplitudes to the predetermined levels. The receiver can determine a third quality according to the SNR of the overall signal and the two branch signals. By combining the first, second, and third quality factors, the receiver can identify the most likely faulted message elements. The receiver can then alter the worst message elements in a nested grid search to find the correct message version.

A data transmission method and apparatus are provided. The method includes: sending, by a digital unit (DU), first uplink scheduling information to a radio unit (RU); receiving a predicted decoding result from the RU; receiving uplink data from a terminal, and decoding the uplink data to obtain an actual decoding result; and performing, by the DU, an error remedy for uplink data transmission based on the actual decoding result and the predicted decoding result. The decoding result is predicted, and scheduling information for data transmission is adjusted based on the predicted decoding result, thereby improving data transmission reliability, so that a data transmission latency in a relaxed latency communication scenario can be met, data transmission can be normally performed, and an interface of a base station after a re-split can be normally used, thereby reducing a bandwidth requirement on the interface.