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.

When a received message is found to be corrupted in 5G or 6G, the receiver can request a retransmission. If only one message element is faulted, retransmitting the whole message may be a waste. Procedures are disclosed for the receiver to determine which message elements are likely faulted by measuring the modulation quality, based on how far each message element's modulation deviates from the states of the modulation scheme. The receiver can then indicate, in an acknowledgement for example, which portion of the message needs to be retransmitted. After receiving that retransmitted portion, the receiver can then produce a merged version by substituting the retransmitted portion in the as-received message, or can select the best-quality elements from the two versions for the merged copy, and thereby eliminate most or all of the faults. Networks supporting these protocols may have fewer delays, faster responses, improved reliability, and reduced resource usage by avoiding unnecessary retransmission volumes, thereby providing improved service to network users, according to some embodiments.

Disclosed are procedures for measuring the modulation quality of each message resource element in a failed 5G or 6G communication, thereby revealing the most likely fault locations in the message. The types of modulation deviations in the low-quality message elements can provide further guidance as to the correct demodulation. In addition, after receiving a second copy, the copies 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.

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 reference element, according to how closely the amplitude and phase match the amplitude and phase 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. Certain zones around each modulation state can indicate how the message element has been distorted by interference, and thereby indicate where to search for the correct state of that message element. 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.

A method and system are provided for scheduling data transmission in a Multiple-Input Multiple-Output (MIMO) system. The MIMO system may comprise at least one MIMO transmitter and at least one MIMO receiver. Feedback from one or more receivers may be used by a transmitter to improve quality, capacity, and scheduling in MIMO communication systems. The method may include generating or receiving information pertaining to a MIMO channel metric and information pertaining to a Channel Quality Indicator (CQI) in respect of a transmitted signal; and sending a next transmission to a receiver using a MIMO mode selected in accordance with the information pertaining to the MIMO channel metric, and an adaptive coding and modulation selected in accordance with the information pertaining to the CQI.

A particular overall architecture for transmission over a bonded channel system consisting of two interconnected MoCA (Multimedia over Coax Alliance) 2.0 SoCs (Systems on a Chip) and a method and apparatus for the case of a “bonded” channel network. With a bonded channel network, the data is divided into two segments, the first of which is transported over a primary channel and the second of which is transported over a secondary channel.

A particular overall architecture for transmission over a bonded channel system consisting of two interconnected MoCA (Multimedia over Coax Alliance) 2.0 SoCs (Systems on a Chip) and a method and apparatus for the case of a “bonded” channel network. With a bonded channel network, the data is divided into two segments, the first of which is transported over a primary channel and the second of which is transported over a secondary channel.

The present disclosure relates to a communication technique which combines IoT technology with a 5G communication system for supporting a higher data transfer rate than existing 4G systems, and a system thereof. The present disclosure can be applied to an intelligent service (for example, a smart home, a smart building, a smart city, a smart car or a connected car, and services related to health care, digital education, retail business, security and safety, etc.) on the basis of 5G communication technology and IoT-related technology. The present method provides a power headroom information transmission method of a terminal, the headroom information transmission method including: a step of determining whether to transmit second power headroom information, on the basis of information about each beam included in first power headroom information, in a wireless communication system supporting beamforming; and a step of transmitting the second power headroom information to a base station when the transmission of the second power headroom information is determined.

An aspect of an embodiment provides a method for controlling channel quality monitoring in a wireless communication system that utilises beamforming, whereby a plurality of signals are transmitted from a base station to a user equipment and the quality of a received signal is measured at the user equipment for each of the plurality of signals, each of the plurality of signals being transmitted by the base station utilising a different frequency sub-band and beam pairing. The method includes: identifying plural frequency sub-band and beam pairings for which the received signal quality is correlated; and, for each frequency sub-band and beam pairing within a group of plural frequency sub-band and beam pairings for which the received signal quality is correlated, evaluating the periodicity of a received signal quality analysis process, and determining whether or not to adjust the periodicity.

Facilitating a determination of channel state information for advanced networks (e.g., 4G, 5G, and beyond) is provided herein. Operations of a system can comprise configuring a mobile device with a demodulation reference signal. The operations can also comprise transmitting a channel state information reference signal to the mobile device, wherein the channel state information reference signal configures a number of channel state information reference signal ports. Operations of another system can comprise determining a number of resources for a group of transmission ranks and determining a link quality metric for transmission ranks of the group of transmission ranks. The operations can also comprise selecting a transmission rank and a precoding matrix indicator and transmitting the precoding matrix indicator to a network device.