Embodiments of the present disclosure relate to a device, method, apparatus and computer readable storage medium for channel estimation in a multiple input multiple output (MIMO) system. The MIMO system comprises a receiver configured with a plurality of receiving antennas and a transmitter configured with a plurality of transmitting antennas In example embodiments, a plurality of data symbols are detected based on channel estimation from a plurality of signals received by the plurality of receiving antenna from the plurality of transmitting antennas. The plurality of detected data symbols are adjusted based on a set of constellation points for a modulation mode used by the transmitter and associated with the plurality of signals. The channel estimation is updated based on the plurality of adjusted data symbols.

Methods, systems, and devices for channel state estimating and reporting schemes in wireless communication are described. In one aspect, a wireless communication method is provided to include transmitting, by a communication device, a channel state report message that includes at least one of a first field indicative of a value of a parameter or a second field that includes a deviation or a change rate of the parameter.

Example operations may include obtaining a first received signal of a first wireless transmission by a transmitting device of a wireless signal received at a receiving device. The operations may also include obtaining a second received signal of a second wireless transmission by the transmitting device that is a retransmission of the wireless signal also received at the receiving device. The operations may further include determining, based on the first received signal and the second received signal, an equalization of distortion of propagation of the wireless signal between the transmitting device and the receiving device. In addition, the operations may include generating an equalized signal based on the determined signal equalization, wherein the equalized signal is an estimate of the wireless signal as transmitted by the transmitting device.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network node may receive, from a second network node, codebook information that indicates a plurality of beams associated with an oversampled transmitter network node beamforming codebook. The first network node may transmit a beam selection report that indicates at least one suggested transmission beam associated with the oversampled transmitter network node beamforming codebook, wherein the beam selection report is based at least in part on a channel estimate that is obtained without obtaining beam measurements associated with beams that are associated with the oversampled transmitter network node beamforming codebook. Numerous other aspects are described.

Embodiments of the present disclosure relate to a device, method, apparatus and computer readable storage medium for channel estimation in a multiple input multiple output (MIMO) system. The MIMO system comprises a receiver configured with a plurality of receiving antennas and a transmitter configured with a plurality of transmitting antennas. In example embodiments, a plurality of data symbols are detected based on channel estimation from a plurality of signals received by the plurality of receiving antenna from the plurality of transmitting antennas. The plurality of detected data symbols are adjusted based on a set of constellation points for a modulation mode used by the transmitter and associated with the plurality of signals. The channel estimation is updated based on the plurality of adjusted data symbols.

Certain aspects of the present disclosure provide techniques and apparatus for wireless channel estimation using machine learning. A sensing matrix is processed using a set of one or more layers of a machine learning model, based on a learned sparsifying dictionary, to generate a set of associated sparse vector representations. A channel estimation is determined based on output of a final layer of the set of one or more layers of the machine learning model.

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.

The invention relates to a method for receiving a CPM signal with space-time encoding, preferably a SOQPSK-TG signal based on the IRIG-106 recommendation, emitted by two emission antennas A1, A2, wherein the received signal modulates a plurality of bits b.sub.i.sup.(j) j=0 or 1 and corresponds to the bits emitted on the antennas A1 and A2, respectively, said received signal comprising a temporal offset Δτ, said signal being received on one or a plurality of receiving antennas A3; —obtaining a digital signal y(k), which is sampled, and the offset version γ.sub.Δτ(k) thereof on an antenna, taking into account the temporal offset between the two antennas, each comprising the contributions of the signals originating from the two emission antennas, wherein said digital signals can be expressed according to the following decomposition: formula (I).

A communication system and method is disclosed, applicable to the mobile communication using pilot-free channel estimation. In the uplink multiple access, the present invention utilizes the gain division multiple access (GDMA) technology to allow multiple users to share the same resource by utilizing the knowledge of different channel coefficients (channel gains) to distinguish signals transmitted by different users when the transmissions are over different and independent fading channels. Without using pilot signals for channel estimation, the present invention uses the clustering algorithm and the geometrical configuration of the superimposed signals for the superimposed signal sequence received by the base station to implement the estimation of channel gains corresponding to multiple users, and, according to the estimated channel gains, the GDMA technology is utilized to recover the original message transmitted by each user.

A receiver includes an equalizer circuit, a radio frequency interference cancellation circuitry, and a channel estimation circuitry. The equalizer circuit is configured to process a first data signal according to a control signal, in order to generate a second data signal. The radio frequency interference cancellation circuitry is configured to detect a radio frequency interference signal according to the second data signal to generate radio frequency interference information, and to output a correction signal according to the radio frequency interference information, in order to correct the second data signal. The channel estimation circuitry configured to analyze a plurality of sets of signal components in the second data signal, and to utilize a power ratio of one of the plurality of sets of signal components to generate the control signal.