Methods and systems for analyzing data are disclosed. An example method can comprise receiving a first data signal, decoding the first data signal, determining a second data signal based on the decoded first data signal, and determining a modulation error ratio based on a difference between the first data signal and the second data signal.

Aspects of the present disclosure are directed to wireless communications involving successively-received messages. As may be implemented consistent with one or more aspects characterized herein, a preamble section (122) of a currently-received message (120) is used in decoding a previously-received message (110), for wireless transmissions from a wireless transmitter (102) on a wireless communications channel (101). The current and previous message are received in succession with a time gap (130) therebetween.

This disclosure provides systems, methods, and apparatus for link adaptation in a wireless local area network (WLAN). A link adaptation test packet from a first WLAN device to a second WLAN device may be formatted as a multiple-input-multiple-output (MIMO) transmission and may include one or more test portions for link quality estimation of the MIMO transmission. A link quality estimation portion of the test packet may permit measurement of link quality for various spatial streams of the MIMO transmission. The link adaptation test packet may enable a fast rate adaptation of a communication link based on the impact of interference to the various spatial streams. The second WLAN device may provide feedback information regarding the one or more test portions. The feedback information may be used to determine a transmission rate for a subsequent transmission from the first WLAN device to the second WLAN device based on wireless channel conditions.

This disclosure provides systems, methods, and apparatus, including computer programs encoded on computer-readable media, for link adaptation in a wireless local area network (WLAN). A link adaptation test packet from a first WLAN device to a second WLAN may include a plurality of link adaptation test portions that are generated using a corresponding plurality of transmission rate options. For example, the plurality of link adaptation test portions may be modulated using different modulation and coding scheme (MCS) options. Thus, a single test packet may be used to evaluate different transmission rate options. The second WLAN device may provide feedback information regarding the link adaptation test portions. The feedback information may be used to determine a transmission rate for a subsequent transmission from the first WLAN device to the second WLAN device based on wireless channel conditions.

This disclosure provides methods, devices and systems for link adaptation in wireless communications. Some implementations more specifically relate to transmitter-based modulation and coding scheme (MCS) selection. A transmitting device transmits a test packet, over a wireless channel, to a receiving device. The receiving device generates one or more signal-to-interference-plus-noise ratio (SINR) estimates for the wireless channel based on the received sounding packet. In some aspects, each SINR estimate may be associated with a particular modulation order. In some other aspects, each SINR estimate may be generated based on a transmitter configuration or a receiver type to be used for subsequent communications between the transmitting device and the receiving device. The receiving device transmits feedback, including the SINR estimates, to the transmitting device. The transmitting device then selects an MCS to be used for subsequent communications with the receiving device based on the SINR estimates and associated modulation orders.

Systems, methods, and non-transitory computer readable media are configured to receive a signal. One or more data streams associated with one or more metrics associated with the signal can be determined. The one or more data streams can be sampled to generate data samples. A grade associated with the signal can be generated based on the data samples. The grade can indicate quality of the signal.

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.

System and methods for locating events and/or devices on a network are described.

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.

An interconnect apparatus performs real time scoring and data throughput measurement of parallel data channels. The scoring and measurement information is communicated as feedback across the interconnect. Processing circuitry in the interconnect apparatus routes data to channels that have the best performance and reduces the data rate on channels that have lower performance based on the feedback information. This provides a method of dynamic load balancing to achieve optimal video data rates in a dynamic impedance environment. The interconnect apparatus also adjusts phase and data sampling times for improved fidelity of data transported across the interface.