Disclosed are systems and methods to determine which specific message elements, of a 5G or 6G message, are faulted. By comparing the amplitude or phase modulation of each message element to a predetermined modulation level, and comparing the difference to a threshold, the faulted message elements can be identified and, potentially, corrected. For example, the modulation scheme may provide two superposed orthogonal signals, thereby providing two amplitude-modulated signals per message element, and a modulation quality can be derived according to the differences between those two amplitudes and the closest predetermined amplitude levels of the modulation scheme. The SNR or SINR of each message element can also be measured and included in the modulation quality determination. Artificial intelligence may enable improved or faster determination of the faulted message elements by including additional input factors. The receiver may then mitigate the message by altering just the faulted message elements, saving re-transmission costs.

Disclosed are systems and methods to determine which specific message elements, of a 5G or 6G message, are faulted. By comparing the amplitude or phase modulation of each message element to a predetermined modulation level, and comparing the difference to a threshold, the faulted message elements can be identified and, potentially, corrected. For example, the modulation scheme may provide two superposed orthogonal signals, thereby providing two amplitude-modulated signals per message element, and a modulation quality can be derived according to the differences between those two amplitudes and the closest predetermined amplitude levels of the modulation scheme. The SNR or SINR of each message element can also be measured and included in the modulation quality determination. Artificial intelligence may enable improved or faster determination of the faulted message elements by including additional input factors. The receiver may then mitigate the message by altering just the faulted message elements, saving re-transmission costs.

Faulted messages in 5G or 6G are generally discarded and a retransmission is then requested. However, the faulted message contains valuable information despite the few faulted message elements. Retransmission is a time-consuming energy-intensive process. Therefore, the present disclosure pertains to procedures for determining which specific message elements, of a corrupted message, are actually faulted. To do so, the receiver can determine a modulation quality of each message element by measuring a difference between the amplitude levels of the message element and the predetermined amplitude levels of the modulation scheme. For example, the modulation scheme may involve an I-branch and an orthogonal Q-branch, each with a different amplitude. The message quality may be related to the deviation of each branch amplitude from the closest predetermined amplitude level of the modulation scheme. A large amplitude deviation indicates a suspicious message element. Many other aspects are also disclosed.

A method and an apparatus for uplink transmission control are disclosed. According to an embodiment, a base station determines a channel metric for indicating uplink channel condition between the base station and a terminal device. The base station determines an uplink transmission format that is to be used for an initial transmission from the terminal device, based on the channel metric such that a spectrum efficiency for the initial transmission can be maximized.

A method for transmitting successive messages forming a frame in a telecommunication system with M sources (s.sub.1, . . . , s.sub.M), L relays and a destination, M>1, L≥1 according to an orthogonal multiple-access scheme of the channel between the M sources and the L relays with a maximum number of M+T.sub.max time slots per transmitted frame including M slots and T.sub.max cooperative transmission slots. The method includes: a slow type link adaptation determining an initial rate for each source by destination based on an average SNR of each link and transmitting to each source the initial rate; and for each frame out of several, successively transmitting the messages of the M sources during the M slots phase with, respectively, modulation and coding schemes determined from the initial rates. The link adaptation maximizes the aggregate rate of all the sources subject to the constraint of a target average BLER ε.sub.com after T.sub.max≥X≥1 cooperative transmissions.

The present disclosure relates to a method for configuring a channel coding during a transmission of data packets from a transmitter to a receiver, which are both located in a traffic environment, wherein a control apparatus of the transmitter ascertains environment data, describing the traffic environment, and orientation data, describing a relative orientation of the transmitter and the receiver, and the environment data and the orientation data are taken as a basis for using a radio link model to forecast, by means of a forecast, whether a currently selected coding configuration of the channel coding can be used to successfully decode and/or reconstruct a data packet currently needing to be sent in the receiver, and if the forecast signals a lack of success, then a switch is effected to an extended coding configuration that produces greater redundancy than the current coding configuration, and the data packet to be sent is sent using the extended coding configuration.

Message failures due to noise and interference cause unnecessary delays and reduction in reliability in wireless networks. To detect, localize, and correct transmission faults in 5G and 6G networks, the receiver can measure the “modulation quality” of each message resource element modulated in PAM (pulse-amplitude modulation), according to how closely the amplitudes of the in-phase and quad-phase signal branches match the amplitude levels of the modulation scheme. If the message is faulted, the receiver can re-assign each message element with poor modulation quality to the adjacent states, or if necessary to each state in the modulation scheme, and may thereby find the correct message value in many cases. When implemented, message fault mitigation as disclosed herein can resolve message failures, improve communication reliability, reduce latency, and improve network operations overall, according to some embodiments.

Disclosed are procedures for measuring the modulation quality of each message resource element in a failed 5G or 6G communication modulated according to pulse-amplitude modulation, thereby revealing the most likely fault locations in the message. A second copy of the message can be merged by selecting the highest quality message elements from each version, where the quality is related to how far each message element's modulation deviates from the calibrated “states” of the modulation scheme. The receiver may also determine directional information based on the modulation of each message element, and may compare versions to determine the most likely correct state of each message element. Such strategies may directly recover the original message, or may greatly reduce the number of variations that need to be tested. When implemented, fault mitigation as disclosed herein can resolve message failures, improve communication reliability, reduce latency, and improve network operations overall, according to some embodiments.

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.

Disclosed are procedures for measuring the modulation quality of each message resource element in a failed 5G or 6G communication modulated according to pulse-amplitude modulation, thereby revealing the most likely fault locations in the message. A second copy of the message can be merged by selecting the highest quality message elements from each version, where the quality is related to how far each message element's modulation deviates from the calibrated “states” of the modulation scheme. The receiver may also determine directional information based on the modulation of each message element, and may compare versions to determine the most likely correct state of each message element. Such strategies may directly recover the original message, or may greatly reduce the number of variations that need to be tested. When implemented, fault mitigation as disclosed herein can resolve message failures, improve communication reliability, reduce latency, and improve network operations overall, according to some embodiments.