COLLISION DETECTION METHOD
    1.
    发明公开

    公开(公告)号:US20240284252A1

    公开(公告)日:2024-08-22

    申请号:US18650687

    申请日:2024-04-30

    CPC classification number: H04W28/04 H04B17/318 H04L1/0083 H04L1/206 H04L7/042

    Abstract: A wireless device may receive packets according to a protocol, such as Bluetooth, and may rapidly react to receive an interfering RF packet instead of dropping the first RF packet and the interfering RF packet, to decrease message delay due to collisions in high device density environments. When a received signal strength indicator (RSSI) difference between the interfering RF packet and the first RF packet exceeds a threshold, the device may detect the interfering packet and resync a portion of its circuitry to lock on to and receive the interfering packet. The wireless receiver may detect the interfering RF packet by detecting one or more of: a specific resync byte sequence, an increase in RSSI, or a phase shift. Additionally, a wireless device may add the specific resync byte sequence to an RF packet of a standard protocol.

    Systems and Methods for Communicating Using Short Messages

    公开(公告)号:US20240154721A1

    公开(公告)日:2024-05-09

    申请号:US18500000

    申请日:2023-11-01

    CPC classification number: H04L1/006 H04L1/0061 H04L1/206

    Abstract: Communication systems and methods are disclosed that utilize Probability Amplitude Shaping (PAS) and Trellis Coded Modulation (TCM) to transmit short block-length messages. While capacity-approaching codes, such as Low Density Parity Check (LDPC) codes, Turbo codes, and Polar codes, can achieve data rates approaching the Shannon limit at large block-lengths, the performance of these codes can deteriorate dramatically at short block-lengths. Communication systems configured in accordance with various embodiments of the invention can utilize classical codes to encode short block-length messages to achieve communication rates exceeding Polyanskiy's Random Coding Union bound. In several embodiments, message bits are transmitted using a TCM system in which message bits that have been previously encoded by an error detection code are encoded using a convolutional code (CC). In a number of embodiments, the error detection code and the CC are obtained via a joint optimization with respect to a Frame Error Rate bound.

    Fault Determination by AI Waveform Analysis in 5G and 6G

    公开(公告)号:US20240080143A1

    公开(公告)日:2024-03-07

    申请号:US18502744

    申请日:2023-11-06

    CPC classification number: H04L1/201 H04L1/206

    Abstract: Message faulting is an increasing problem in 5G and future 6G due to network crowding, receiver motion, signal fading at higher frequencies, and greater phase-noise sensitivity. Disclosed herein are methods for analyzing waveform features of the received signal using artificial intelligence, and identifying the likely faulted message elements according to correlations of those waveform features. For example, after demodulating, the receiver can identify a subset of message elements that are all demodulated according to the same modulation level, and can measure a signal parameter for each message element in the subset. The processor can then average the deviations in the subset, and compare those message elements to the average for the subset. If one of the message elements shows an anomalously large deviation from the average, that message element is likely faulted.

    AI-based waveform analysis for fault localization in 5G and 6G

    公开(公告)号:US11848788B1

    公开(公告)日:2023-12-19

    申请号:US18456551

    申请日:2023-08-28

    CPC classification number: H04L1/201 H04L1/206

    Abstract: AI-based fault detection, localization, and correction can improve message reliability in 5G and 6G communications by enabling the rapid recovery of faulted messages without wasting precious time and power on an unnecessary retransmission. The waveform of a received message is rich with information implicating the faulted message elements and, in many cases, suggesting the corrected value. In examples, message recovery can be based on the amplitude of the received waveform, its phase, any pathological variations in noise or in frequency or in polarization, and on inter-symbol transition regions, to list just a few waveform fault indicators revealing the fault locations. In addition, the AI model, or an algorithm derived from it, can discern the intent or meaning of a message, as well as its form and format, the bitwise content, the sequence of characters, and other error flags indicating which parts of the message are faulted.

    Fault Mitigation Using Signal Quality and Error-Detection Codes in 5G/6G

    公开(公告)号:US20230403603A1

    公开(公告)日:2023-12-14

    申请号:US18227940

    申请日:2023-07-30

    CPC classification number: H04W28/04 H04L1/0061 H04L1/206

    Abstract: As transmitters proliferate, and the transmission frequency steadily increases in 5G and especially 6G, the rate of message faults will likely increase unacceptably. Disclosed are methods for wireless receivers to detect, localize, and correct message faults using a combination of signal quality, modulation quality, and an embedded error-detection code. The error-detection code can indicate when the message is corrupted, while the signal quality and modulation quality can indicate which message elements are faulted, or can provide a likelihood that each message element is faulted. The message can then be corrected, using a combination of the error-correction code, the signal quality, and the modulation quality. In embodiments, the correction can be calculated directly from the error-detection code, or determined by altering each likely faulted message element to each of the other modulation states and testing with the error-detection code. By either method, network resources are saved and reliability is increased.

    Fault detection, localization, and correction by 5G/6G signal quality

    公开(公告)号:US11843468B1

    公开(公告)日:2023-12-12

    申请号:US18224280

    申请日:2023-07-20

    CPC classification number: H04L1/206 H04L1/201

    Abstract: A major goal of 5G and especially 6G is reliable, low-latency communication. Unfortunately, higher density networks result in increasing interference, and higher frequency bands inevitably have signal fading problems, leading to frequency message faults. To restore high-speed, high-reliability messaging, methods are disclosed for evaluating the signal quality of each message element of a received message so that any faulting can be localized to the message elements with the lowest signal quality. Numerous contributions to signal quality are disclosed, including modulation, amplitude and phase stability, polarization and inter-symbol irregularities, expected message format and meaning, and common or unexpected bit sequences. Many further aspects are included.

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