Abstract:
An error detection system for a discrete receiver. Sequences of bits together forming frames of information comprise the signal received by the discrete receiver. The signal is decoded by a convolutional decoder and is re-encoded by an encoder. Successive portions of nonoverlapping sets of adjacently positioned bits of the re-encoded signal formed by the encoder are compared with corresponding bits of a signal representative of the signal received by the receiver. When excessive numbers of the successive portions of the signals which are compared include bit dissimilarities, a bad frame indication is generated.
Abstract:
A low-overhead method of protecting multi-pulse speech coders from the effects of severe random or fading pattern bit errors combines a standard error correcting code (convolutional rate 1/2 coding and Viterbi trellis decoding) for protection in random errors with cyclic redundancy code (CRC) error detection for fading errors. Compensation for detected fading errors takes place within the speech coder. Protection is applied only to the perceptually significant bits in the transmitted frame.
Abstract:
In an anti-fraud control system, a first error monitoring device includes a first frame transmitting and receiving unit that receives a frame flowing on the on-board network; and a first error detector that causes transmission of an error notification frame for notifying of an occurrence of an error in the frame when detecting the occurrence of the error in the frame received by the first frame transmitting and receiving unit. Each of second error monitoring devices includes: a second frame transmitting and receiving unit that receives the error notification frame; and a second error detector that regards, as a frame to be invalidated, the frame subjected to the error and included in the received error notification frame, and shifts the second error monitoring device to an invalidation mode for invalidating reception of subsequent frames, if no error is detected in an own branch with respect to the frame.
Abstract:
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.
Abstract:
Disclosed in the present disclosure are a counting method, a terminal device, a chip, a computer readable storage medium, a computer program product and a computer program. The method includes maintaining at least one counter, the at least one counter being used to record how many times first indication information is received; and determining to increase a count value of a counter corresponding to the first indication information based on received first indication information.
Abstract:
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.
Abstract:
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.
Abstract:
Message faults are inevitable in the high-throughput environment of 5G and planned 6G. Retransmissions are costly in time and resources, while generating extra backgrounds and interference. Therefore, methods are disclosed for recovering a faulted message by identifying and correcting each mis-demodulated message element. The faulted message elements generally have substantially lower modulation quality than the correctly demodulated elements, and can be identified by determining the modulation quality of each received message element. If the number of faulted message elements is small, the receiver may correct them using a grid search tested by an associated error-detection code. If the number of faults exceeds a predetermined threshold, the receiver can request a retransmission, and then assemble a merged copy of the message by selecting the message element with the best modulation quality from each version. Substantial time and resources may be saved, and reliable communication may be restored despite poor reception.
Abstract:
Disclosed are methods for avoiding, detecting, and mitigating message faults. Due to the expected large increase in electromagnetic background energy in in dense 5G and 6G networks, message faults are likely to dramatically increase, along with their costs. To avoid intermittent interference, a user device can monitor the noise level and request that the base station store incoming messages while the noise level is too high. Likewise, if a user device receives a faulted message while the noise level is high, the user device can delay the retransmission until the noise subsides. If the user device has received two faulted messages (a likely scenario in crowded urban/industrial/sporting environments), the user device can merge the two versions while selecting the message elements with the best quality (based on modulation, SNR, stability, and other criteria) and may thereby obtain a corrected message version, without resorting to a third transmission of the message.
Abstract:
Implantable medical devices (IMDs), and methods for use therewith, reduce how often an IMD accepts false messages. Such a method can include receiving a message and performing error detection and correction on the message. Such a method can also include determining a quality measure indicative of a quality of the message and/or a quality of a channel over which the message was received, and determining whether to reject the message based on the quality measure.