In 5G-Advanced and especially 6G, a primary concern is the increase in message faulting due to higher pathloss and phase noise at FR2 frequencies. Current methods for dealing with faults include packing the message with bulky error-correction (FEC) bits which are often ineffective, or automatically requesting a costly retransmission. As a substantially better alternative, the receiver may identify the specific fault locations and attempt an immediate repair by testing the modulation quality of each message element. For example, for a QAM-modulated message, the receiver can measure the I and Q branch deviations relative to predetermined levels, and the message element(s) with largest deviations is/are likely faulted. Alternatively, if the message is advantageously modulated according to the waveform amplitude and phase, the receiver can determine the amplitude and phase deviations relative to predetermined values. An AI model can greatly assist in the fault localization and in finding the corrected values.

In 5G-Advanced, and especially 6G, message faulting is expected to be a major impediment due to phase noise and increased pathloss attenuation, as well as network crowding. Therefore, new procedures are disclosed enabling the receiver to identify and correct message faults without a retransmission and without using bulky FEC (forward error correction) bits. For example, the receiver can measure the distance of each received message element from the nearest modulation state, and thereby quantify the modulation quality, or suspiciousness, of each message element. To correct the message, the worst-modulated ones can be altered first, generally selecting the next-closest states since small distortions are more likely than large distortions. The result: rapid message recovery, internal to the receiver processor, without adding to the message size or the latency.

A packet storage method includes receiving a plurality of packets from a network including a plurality of connections, associating, with each of the packet, a connection via which the corresponding packet has passed, specifying a connection, among the plurality of connections, in which an error has occurred, based on analysis of the plurality of packets, identifying the packet which has passed through the connection in which the error has occurred, and storing, in a storage device, the identified packet, among the plurality of received packets.

A system, method and device for error detection/estimation in OFDM communications systems is proposed. The disclosed mechanism allows an efficient error prediction in a received packet, without having to perform full FEC decoding of the packet that could impair the overall latency of the system due to the time spent in a complete FEC decoding of the packet. In order to do that, it generates a decision variable with the aim to check whether a received packet has errors or not, after performing only partial FEC decoding of the packet, without either resorting to the use of error-detection codes.

Message reliability is a key requirement of 5G/6G communications. In many challenging network environments, two successive retransmissions of a message can both be corrupted, greatly reducing reliability. Therefore, methods are disclosed for identifying faulted message elements according to a metric that includes the waveform or SNR of the message element, its modulation quality, and a consistency check between the received versions. The receiver can then assemble a merged message version by selecting the higher quality version of each message element from the two (or more) corrupted versions, and thereby avoid requesting yet another retransmission. In addition, the receiver can monitor the background level and, if it is above a predetermined limit, can request that the receiver store the message for a predetermined time, or until the background level subsides below the limit.

An unsolved problem in 5G-Advanced and especially 6G is message fault mitigation without a costly retransmission. Methods are disclosed for the receiver to analyze each message element's received waveform signal to detect characteristic features of interference and noise, such as excessive amplitude or phase variation within the message element or excessive deviation from the predetermined modulation levels of the modulation scheme, and to provide that data to an AI model trained in message fault correction. The AI model can then identify the faulted message elements, and attempt to correct them according to the likely intent or meaning of the message based on the non-faulted message elements, and on the bit sequences of previously received non-faulted messages, and other criteria that the AI model may apply. By repairing the message upon receipt, the costs in time, transmission power, and background noise generation may be avoided. Next-generation users will enjoy the improved reception.

There is provided a method of retransmission for a base station in a wireless communication system supporting beamforming. The method includes transmitting data at least once using a first beam; detecting a link disconnection within a retransmission request interval at the media access control (MAC) layer; determining, when a link disconnection is detected, a second beam; and retransmitting the data using the second beam.

An optical frame is received over an optical link within an optical network. The optical frame contains a payload of aggregated data, an alignment value, and a bit interleaved parity value. The content of the optical frame is aligned based on the alignment value. The bit interleaved parity value is monitored. In response to the monitoring, a transmission quality of the transmission link is determined.

A communication device can be configured to detect false positives of a decoded signal that have passed error detection. The communication device can include an error detector and a false positive detector. The error detector can detect an error of a decoded signal generated from an encoded signal, and output a payload of the decoded signal in response to the decoded signal passing the error detection. The false positive detector can calculate an estimated bit-error rate (BER) of the encoded signal and a predicted BER of the encoded signal. The false positive detector can determine a false positive of the error detection passing of the decoded signal based on the estimated BER and the predicted BER.

Message faults are expected to be a major impediment to 5G and future 6G throughput. The disclosed procedures enable a wireless receiver to recover many types of message faults based on the demodulation quality of each message element, among other diagnostic tests, and then to recover the correct message either by calculation (based on an embedded error-detection code) or by substitution (based on a search of all other modulation states in place of the faulted message elements). The method also includes determining, according to the modulation quality, when there are too many faults to efficiently mitigate, in which case a retransmission of just the affected portion is requested. The receiver can then merge the two versions of the message, selecting the better-quality message element at each position, and thereby correct the faulted message versions.