A faulted message element in 5G or 6G can often be identified according to its modulation parameters, including a large deviation of the branch amplitudes from the predetermined amplitude levels of the modulation scheme, and/or the SNR of the branch amplitudes, and/or an amplitude variation of the raw signal or the branches during the message element, and/or an inconsistency between the modulation state as determined by the amplitude and phase of the raw waveform versus the amplitudes of the orthogonal branch signals, among other measures of modulation quality. An AI model may be necessary to correlate the various quality measures, and optionally to determine the correct demodulation of faulted message elements. Costly, time-consuming retransmissions may be avoided by determining the correct demodulation of each message element at the receiver, thereby improving throughput and reliability with fewer delays.

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 kind of self-adaptive network congestion control method based on SCPS-TP, which includes the following steps: The SCPS-TP's gateway source-end receives and transmits the packets to destination end; Judge if there is new packet received in accordance with the analyzed ACK; If there is no new packet received, when the duplicate ACK counter increase to a certain value, change the window size's growth pattern to linear self-adaptive pattern; If there is new packet received, the congestion control is in the exponential growth pattern. After window is enlarged, Diff is bigger than the set threshold value and the congestion control method is changed to linear self-adaptive pattern; If congestion control is in the linear self-adaptive pattern, adjust window size in accordance with Diff; The SCPS-TP's gateway source-end sends the packets in the packet loss buffer to destination end and sends new packets in accordance with the size of congestion window.

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 to regulate a signal-to-noise ratio (SNR) in a rate adaptation includes: transmitting a frame; determining a status of the transmitted frame; computing a probability of a channel of the transmitted frame being in an idle mode; computing an SNR offset based on the status of the transmitted frame and the probability; and regulating an SNR for transmission, based on the SNR offset.

The present invention relates to method and apparatus for uplink data transmission, a user equipment, a computer program and a storage medium. The method comprises: acquiring a data error rate of data blocks transmitted on an uplink of a UE; constructing a new data block, wherein a size of the new data block is smaller than the size of the transmitted data block currently, if the block error rate is greater than a threshold; and transmitting the new data block on the uplink of the UE according to a first power currently allocated to the UE. The present invention can enhance the performance of uplink data transmission.

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.

The present disclosure provides a method in a network device for rank selection. The method includes: adjusting a rank for a transmission to or from a terminal device; and selecting a rank to be used for the transmission based on whether the transmission using the adjusted rank has been successfully received.

The present disclosure provides a method (100) in a network device for link adaptation. The method (100) includes: estimating (110) a probability distribution of downlink Signal to Interference plus Noise Ratio, SINR, for a terminal device based at least on one or more Acknowledgement, ACK, or Negative Acknowledgement, NACK, messages from the terminal device; and determining (120) a Modulation and Coding Scheme, MCS, for downlink transmission to the terminal device based on the estimated probability distribution of downlink SINR.

An audio transmission method is described. A packet loss recovery capability corresponding to current encoded data of an audio signal can be determined according to a first audio encoding feature parameter corresponding to the current encoded data and a second audio encoding feature parameter corresponding to previous or subsequent encoded data of the current encoded data using a packet loss recovery capability prediction neural network model. Whether to perform redundant encoding for the current encoded data can be determined according to the packet loss recovery capability. In response to the redundant encoding being determined to be performed, the redundant encoding can be performed according to the current encoded data to generate a corresponding redundancy packet.