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.

A method, apparatus and system for per-channel MER calibration and determination on a multi-channel receiver.

Message faults are an increasing problem for 5G and expected 6G networks, due to growth, crowding, and signal fading problems. Disclosed are procedures for determining which particular message element of a corrupted message is faulted, and optionally the most likely correction. A receiver can identify the faulted message element by measuring the fluctuations, in phase and amplitude, of the waveform of each message element, as well as the modulation quality, frequency offset, and other signal measurements. Faulted message elements are likely to have higher fluctuations, higher modulation deviations, and higher signal irregularities, than the unfaulted ones. Mitigation can then be applied to the faulted message elements, thereby recovering the correct message and avoiding a costly retransmission delay. AI models may enhance the fault detection sensitivity by exploiting correlations between the various waveform measurement parameters, and then may predict the corrected value of the faulted message elements.

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. Message faults can be caused by noise or interference from a variety of sources with a wide range of properties. 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.

This specification describes an apparatus relating to rate adaptation. The apparatus may comprise a processor and a memory including instructions, the instructions, when executed by the processor, cause the apparatus to provide first data representing an estimate of a communications link based on a signal received over said communications link from a transmitter. The apparatus may determine an estimated achievable data rate over said communications link for each of a plurality of link configurations which have respective combinations of modulation scheme and pilot symbol pattern which correspond to one or more transmitter link configurations, the estimated achievable data rate for a particular link configuration being determined based on the first data, and the modulation scheme and the pilot pattern of the particular reference link configuration. The apparatus may select a transmitter link configuration based on the estimated achievable data rates.

In a message modulated according to orthogonal amplitude-modulated component signals in 5G or 6G, the receiver can attempt to recover a corrupted message by evaluating the modulation quality of each component signal in each message element. The modulation quality of each component signal may be determined according to a distance between the amplitude of the component signal and the closest amplitude level of the modulation scheme, as determined by a prior demodulation reference. The modulation quality may also be determined by the SNR and amplitude stability of the component signal. Upon detecting a corrupted message, the receiver can identify the faulted message elements according to modulation quality, and if the faulted message elements are clustered in a portion of the message (as is common), the receiver can request that just the faulted portion be retransmitted, saving time and bandwidth.

The present disclosure relates to an encoded signal demodulation method, apparatus, and device. Some embodiments of the present disclosure are beneficial to improving demodulation performance.

An antenna system is provided. In one example, the system includes a modal antenna having a driven element and a parasitic element. The system includes a radio frequency circuit. The system includes a transmission line coupling the radio frequency circuit to the modal antenna. The radio frequency circuit is configured to modulate a control signal onto an RF signal to generate a transmit signal for communication over the transmission line to the tuning circuit. The control signal can include a frame having a plurality of bits associated with the selected mode of the antenna. The radio frequency circuit is configured to encode the plurality of bits associated with the selected mode in accordance with a coding scheme. The coding scheme specifies a unique code for each mode of the plurality of modes. The unique code for each mode of the plurality of modes differs by at least two bits relative to the unique code for each other mode of the plurality of modes.

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.

A central challenge in next-generation 5G/6G networks is achieving high message reliability despite very dense usage and unavoidable signal fading at high frequencies. To provide enhanced fault detection, localization, and mitigation, the disclosed procedures can enable an AI model (or an algorithm derived from it) to discriminate between faulted and unfaulted message elements according to signal quality, modulation parameters, and other inputs. The AI model can estimate the likelihood that each message element is faulted, and predict the most probable corrected value, among other outputs. The AI model can also consider the quality of a demodulation reference used to demodulate the message, and the quality of the associated error-detection code. The AI model can also consider previously received messages to the same receiver, or messages of a similar type. Fault mitigation by the receiver can save substantial time and resources by avoiding a retransmission. Many other aspects are disclosed.