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 and optionally other signal quality factors. 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 into the as-received message. Alternatively, the receiver 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.

A Quality of Experience (QoE) optimization system and method are provided. An electronic device inputs key performance indicators (KPIs) and system control parameters collected from a core network, a base station and a user equipment (UE) into a QoE optimization model. The QoE optimization model then optimizes the system control parameters based on the KPIs and a user QoE fed back from the UE to output optimized system control parameters. Furthermore, a strategy emulator controls at least one of a base station emulator and a UE emulator, so as to emulate the QoE optimization model using the at least one of the base station emulator and the UE emulator. Non-real-time optimization adjustments to the QoE optimization model are made based on the result of the emulation performed by the at least one of the base station emulator and the UE emulator.

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.

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 and optionally other signal quality factors. 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 into the as-received message. Alternatively, the receiver 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.

A method performed by a network node, for handling link adaption (LA) of a channel. The network node obtains a channel quality value for each Transmission Time Interval (TTI) in a set of TTIs. The network node estimates a probability that a specific channel quality will occur from the obtained channel quality values for the set of TTIs based on a distribution of channel quality values. The network node further determines a set of transmission parameters which optimizes a target function of LA, based on the estimated probability for the channel quality, wherein each set of transmission parameters is mapped to a channel quality which is required for a successful reception.

The present disclosure generally relates to systems, methods and software for quantitatively comparing an overall capacity improvement for a channel used for transmissions to a population of user devices when an existing profile is replaced with a proposed profile. Additionally, the quantitative comparison can be used to prioritize profile changes and/or network maintenance.

A method of updating a number of retransmissions for a mesh node in a mesh network comprising a plurality of mesh nodes, wherein said number of retransmissions define how often said mesh node retransmits received messages within said mesh network, said method comprising the steps of receiving, by said mesh node, a number of data messages, wherein each of said data messages originates from a same source mesh node and is intended for a same destination mesh node in said mesh network, transmitting, by said mesh node, each of said number of data messages based on said number of retransmissions receiving, by said mesh node, a number of acknowledgement messages, wherein each acknowledgement message originates from said RD mesh node and acknowledges receipt of a particular data message of said first number of data messages, and updating, by said mesh node, said number of retransmissions based on said number of data messages and based on said number of acknowledgement messages. Complementary devices for performing a method according to the invention are also presented herein.

Techniques are described for wireless communication at a wireless device. One method includes transmitting, during a TTI, a first message using a first MCS; and transmitting, during the TTI, a second message using a second MCS. The first message includes indications of a location, a heading, and a speed of the wireless device, and the second MCS is higher than the first MCS. Another method includes decoding a first message received during a TTI; performing a Doppler effect compensation for a second message based at least in part on the first message; and decoding the second message based at least in part on the Doppler effect compensation. The second message is also received during the TTI. The first message is decoded in accordance with a first MCS, and the second message is decoded in accordance with a second MCS, with the second MCS being higher than the first MCS.

The present disclosure provides techniques for rate adaptation under congestion and latency constraints. The approaches described herein focus on aspects of latency, reliability, and power consumption instead of the traditional aspect of throughput. In an example, a method for rate adaptation is disclosed. The method may include determining whether to transmit a new packet or a retry packet. The method may also include reducing a maximum rate for a rate search in response to determining to transmit the retry packet. The method may further include transmitting the retry packet based on the reduced maximum rate.

In one embodiment, a method includes accessing time series data of a wireless communication link between a first node and a second node on a millimeter-wave communications network; determining that an anomaly exists in the time series data; determining an anomaly type for the anomaly by inputting one or more features derived from the time series data into a machine learning module; generating a report comprising an indication that the anomaly exists and a description of the anomaly type, and determining one or more treatments for the determined anomaly.