Implementations described herein are directed to satellite transmitters and receivers for applying OFDM-like signaling in broadband satellite transmissions. In such systems, one or more data signals may be shaped and composited into a composite data signal at an OFDM-like transmitter for transmission over a satellite channel. The data signals that are carried over the satellite channel by the composited signal may have their own carrier, and each signal may carry multiple OFDM subcarriers. Further implementations are directed to correcting for distortion in satellite communications systems that utilize OFDM-like signaling. This distortion correction may account for the linear and nonlinear distortion introduced by the high power amplifier of a satellite receiving a composite signal, the linear and nonlinear distortion caused by the interaction of the signals in the composite, the linear and nonlinear distortion caused by the interaction between OFDM subcarriers, and/or the linear and nonlinear distortion caused by inter-carrier interference.

The present disclosure provides a cell measurement method and a terminal. The cell measurement method includes steps of: measuring a pilot signal from a to-be-measured cell, so as to acquire an channel estimation of N pilot signal transmission ports of the to-be-measured cell, N1; determining an equivalent received power corresponding to each precoding matrix in accordance with each precoding matrix in a set of precoding matrices and the channel estimation of the N pilot signal transmission ports of the to-be-measured cell; and determining an equivalent received power of the to-be-measured cell in accordance with the equivalent received power corresponding to each precoding matrix.

Methods, systems, and devices for wireless communication are described. A method may include receiving a control transmission from a base station, identifying a control channel search space organized according to a nested structure, the control channel search space including a plurality of control channel candidates associated with one or more control channel elements (CCEs) and an aggregation level, and searching the received control transmission to identify a control channel for the UE using the plurality of control channel candidates. Another method may include determining whether to reorder resource element group (REG) indices for a received control channel transmission based, at least in part, on a transmission mode associated with the control channel transmission. Another method may include decoding a received control channel transmission, where the downlink control information (DCI) formats may be constrained to an integer multiple of a predetermined base number of bits N.

Apparatuses, systems, and techniques to perform channel estimation on one or more signals. In at least one embodiment, channel estimation on one or more wireless signals is performed in parallel based on one or more frequencies of one or more signals.

A data enhancement method and a receiver. the method is performed by a receiver and includes performing a data augmentation process for a result obtained by a first basic model of the receiver to obtain a first data augmented training set; performing an online training fine tuning process for the first basic model based on the first data augmented training set to obtain a second basic model; and stopping a loop in response to a loop stopping condition being satisfied.

A method may include detecting parameter(s) of communication between an AP and a STA. The method may include determining a training configuration for a channel estimation of the communication based on the parameter(s). The method may include transmitting a DL transmission or a trigger frame to the STA. The DL transmission may include a training block configured according to the training configuration. The trigger frame may include the training configuration and instructions for the STA to include a training block configured according to the training configuration in a UL transmission to the AP. The STA may be configured to determine the channel estimation of a channel of the communication using the training block of the DL transmission received at the STA. Alternatively, the method may also include determining the channel estimation of a channel of the communication using the training block of the UL transmission received at the AP.

Systems, methods, and devices to reduce the channel estimation overhead by collecting data from many UEs and building a location-based mathematical model are disclosed. During building of the model, a reference signal is used to collect location- and signal-related data from connected UEs. Once the model is successfully built, it is then transmitted and/or downloaded to each new UE that connects to the base station. The UEs and/or the base stations then use this model to determine their own transmission parameter values. The UEs also report their location to the base stations, which use the model to estimate channel conditions and adapt transmission parameters for themselves.

Disclosed are a channel estimation method and device for improving accuracy of channel estimation so as to improve the performance of a receiver. The present application provides a channel estimation method, comprising: determining an equivalent pilot sequence by means of a historical effective frequency offset value; determining a sequence for multiple correlation by using the equivalent pilot sequence; and performing multiple correlation calculation of channel estimation by using the sequence for multiple correlation.

A mobile terminal determine a reference signal sequence number based on a sequence length and a first selection reference value used for a first communication system that is different from a second communication system adapting a 3GPP release 10 or earlier. The first selection reference value is obtained from a sequence group number assigned to the terminal and different from a second selection reference value used for the second communication system. The mobile terminal generates a reference signal based on the determined reference signal sequence number and transmits the generated reference signal.

An information encoding control method includes: receiving first configuration information, where the first configuration information is used to configure N groups of parameters of N artificial intelligence (AI) encoders or an AI decider, and the AI decider is configured to determine an AI encoder that is in the N AI encoders and to which first information is applicable, and/or is configured to determine that none of the N AI encoders is applicable to encoding the first information; and sending first indication information to a network device, where the first indication information indicates that a first encoder is used for encoding the first information, the first encoder is determined based on the first configuration information and the first information, and the first encoder is an encoder in the N AI encoders, or is a second encoder different from the N AI encoders.