A bandwidth allocation and monitoring method may divide available bandwidth on a shared communication medium into a plurality of discrete tones that can be individually allocated to modems on an as-needed basis. The effective modulation rate that a particular modem can use for each discrete tone can be monitored over time using a schedule of pilot tones transmitted from the modems on different tones at different times. The schedule may define representative pilot tones, in which case effective modulation rates for neighboring tones may be inferred from a determined effective modulation rate of a pilot tone.

Aspects described herein include a method comprising predicting, based on one or more transmission characteristics, error values for a sequence of bit positions used for modulating data within a packet. The method further comprises generating a bitmap that maps one or more payload bits and one or more padding bits of the packet to respective bit positions of the sequence. The one or more padding bits are preferentially mapped to respective bit positions having relatively greater error values. The method further comprises modulating the sequence according to the bitmap.

A fully functional spectrum analyzer in integrated into an outdoor communications unit of a point-to-point communication system. The spectrum analyzer of the outdoor unit provides for remote spectral diagnostics for network planning and wideband operation and is operable to capture signals outside of the signal bandwidth. With the spectrum analyzer integrated into the outdoor unit, accessing spectral diagnostic information is conducted without having to disrupt the normal operation of the communications network.

A method is provided to operate a first wireless device associated with a group including the first wireless device and a second wireless device. A data packet is received from the second wireless device of the group. A reference signal received power RSRP is measured based on a reference signal received from the second wireless device of the group. It is then determined whether or not to transmit Acknowledgement/Negative ACK/NACK feedback for the data packet based on a comparison between the RSRP and an RSRP threshold. Related wireless devices, computer programs, and computer program products are also discussed.

Different solutions for an apparatus comprising a predictor predicting decodability of received symbols are disclosed. Decoding is performed based on the prediction.

This application relates to determining transmission quality of a communication channel, in particular for determining a measure of errors in data transmitted as multi-bit symbols. Described is an error checker with an input for receiving an input signal comprising a series of modulated symbols, wherein each symbol encodes multiple bits of a pseudo-random bit sequence. A demodulator is configured to receive the input signal and only partially demodulate at least some of the symbols to generate a partially demodulated bit sequence. A PRBS module is configured to receive the partially demodulated bit sequence and determine the pseudo-random bit sequence and a comparator compares the output of the demodulator to an expected output based on the pseudo-random bit sequence determined by the PRBS module.

Artificial intelligence procedures are disclosed for localizing faults in corrupted messages in 5G and 6G, and for correcting those faults based on measured parameters such as backgrounds and message signals according to pulse-amplitude modulation. An AI model with multiple adjustable variables may be “trained” using a large number of message events, including faulted messages, to determine which message elements are likely faulted, based on input parameters such as modulation quality, SNR, and other signal properties. The receiving entity can then attempt a grid search to correct the faulted message elements, or request a retransmission. For field use by base stations and user devices, an algorithm may be developed based on the AI model, and configured to predict which message elements are likely faulted. By detecting and correcting message faults, networks may increase reliability and reduce latency while avoiding most retransmission costs and delays, according to some embodiments.

Certain aspects of the present disclosure provide techniques for dynamic configuration of demodulation reference signals (DMRSs). A method that may be performed by a base station (BS) includes receiving one or more uplink signals from at least one user equipment (UE); estimating a Doppler shift associated with the one or more uplink signals; determining a density of reference signals (RSs) within a slot for the at least one UE based, at least in part, on the estimated Doppler shift associated with the one or more uplink signals; and transmitting information to the at least one UE indicating an allocation of RS resources for the UE, wherein the allocation of the RS resources is based on the density of the RSs for the at least one UE.

A key requirement for 5G and 6G networking is reliability. Message faults are inevitable, and therefore procedures are needed to identify each fault location in a message and, if possible, to rectify it. Disclosed herein are artificial intelligence AI models and procedures for mitigating faults in wireless messages by (a) evaluating the signal quality of each message element according to waveform features and modulation deviations, (b) evaluating the fault probability of each message element by seeking correlations, which may be subtle, among the various waveform measurements including polarization and frequency offset, and (c) correcting the faults according to the message type, apparent format, intent or meaning, typical previous messages of a similar type, correlations of bit patterns and symbol sequences, error-detection codes if present, and other content-based indicators uncovered during model development. Automatic, real-time fault localization and correction may save substantial time and resources while substantially enhancing messaging reliability.

A communications device includes receiver circuitry, transmitter circuitry, and controller circuitry controlling the transmitter circuitry and the receiver circuitry to receive data in accordance with an automatic repeat request (ARQ) type protocol in which the data is received as a plurality of encoded data packets encoded with an error correction code and the transmitter circuitry transmits a feedback signal depending on whether each of the data encoded packets is estimated as having been decoded successfully by the receiver circuitry. The controller circuitry is configured to evaluate a quality measure of each encoded data packet and in response to the evaluated quality measure to transmit an early indication of the feedback signal to the wireless communications network, before the encoded data packet has been decoded by the error correction decoder.