Various embodiments herein provide techniques for minimum mean-square error interference rejection combining (MMSE-IRC) processing of a received signal, distributed between a baseband unit (BBU) and a remote radio unit (RRU). The RRU may perform a first phase of processing based on an extended channel that includes a channel of one or more user equipments (UEs) served by the RRU and interference samples that correspond to other cells or additive noise. The first phase may include scaling the interference samples by a scaling coefficient to obtain a modified extended channel, and performing maximum ratio combining (MRC) on the modified extended channel to obtain a processed signal. The RRU may send the processed signal to the BBU for the second phase of processing. The second phase of processing may include regularized zero forcing to remove interference. Other embodiments may be described and claimed.

A method performed by a first radio node for estimating channels in a wireless communication network is provided. The first radio node receives a signal from a second radio node in the wireless communication network. The signal has multiple beams.

For each of at least some of the multiple beams the first radio node obtains information about a beam-specific signal quality, adapts (3039 any one or more out of: channel estimation parameters and channel estimation methods related to the beam, based on the beam-specific signal quality, and estimates a channel of the beam using any one or more out of: the adapted channel estimation parameters and the channel estimation methods.

Facilitating sparsity adaptive feedback in the delay doppler domain in advanced networks (e.g., 4G, 5G, 6G, and beyond) is provided herein. Operations of a method can comprise determining, by a first device comprising a processor, a channel covariance matrix in a time-frequency domain based on a channel estimation associated with reference signals received from a second device. The method also can comprise decomposing, by the first device, the channel covariance matrix into a group of component matrices. Further, the method can comprise transforming, by the first device, respective matrices of the group of component matrices into respective covariance matrices in a delay doppler domain. The method also can comprise determining, by the first device, channel state information feedback in the delay doppler domain.

A method and apparatus comprises acquiring set of input streams associated with a spatial layer configured for a terminal device, and estimating a channel vector h representing a radio channel response associated with the spatial layer. An interference covariance matrix R representing power of interference is computed from at least one other spatial layer in the set of input streams and correlation of the interference within the set of input streams of the spatial layer. A per-layer interference rejection is performed, combining equalization on the set of input streams, comprising: a) estimating x=R1h as a combination of a set of linear equations, wherein the number of linear equations is defined by an input parameter to be equal to or smaller than dimensions of the interference covariance matrix; and b) computing an estimate of a transmitted symbol on the basis of the channel vector and the estimated x.

Aspects of the disclosure relate to devices, systems and methods for multi-beam formation. A user equipment (UE) may determine a sampling interval for references signals to be transmitted by a base station for an upcoming control or data communication. For example, the UE may determine a maximum sampling interval tolerable for channel estimation and select the sampling interval based on the maximum. In some examples, the UE determines the sampling interval based on characteristics of its motion. The UE transmits an indication of the sampling interval to the base station. Based on the indication, the base station selects an interval for the reference signals and transmits the reference signals to the UE to enable it to perform the channel estimation for the multi-beam. The base station may determine to select the interval for the reference signals such that it is less than or equal to the sampling interval indicated by the UE.

The invention relates to a mixer circuit, which includes a transconductance stage circuit, a switch stage circuit and a load stage circuit which are electrically connected in sequence. The transconductance stage circuit is used to access a radio frequency voltage signal and convert the radio frequency voltage signal into a radio frequency current signal The switch-level circuit is used to access the local oscillator signal and the radio frequency current signal, and the switch-level transistor is turned on by using the local oscillator signal; the load-level circuit is used to convert the intermediate frequency current signal into a voltage signal for output. In the present invention, the transconductance stage circuit adopts a transistor superposition technology structure, which improves the conversion gain of the mixer; at the same time, it uses a source degenerate inductance structure, which further improves the conversion gain and linearity of the circuit.

Methods, systems, and devices for wireless communications are described. In some examples, a user equipment (UE) may receive a control message indicating a set of sampling beams defined for the UE. The UE may measure a set of received signal strengths for communications from a wireless node associated with a set of linear combinations of sampling beams from the set of sampling beams defined at the UE. The UE may calculate a set of entries of a channel covariance matrix based on the set of received signal strengths of the set of linear combinations of the sampling beams from the set of sampling beams defined for the UE. As such, the UE may communicate with the wireless node based on applying a set of beam weights to an antenna array of the UE. In some examples, the set of beam weights may be based on the channel covariance matrix.

A method and apparatus comprises acquiring set of input streams associated with a spatial layer configured for a terminal device, and estimating a channel vector h representing a radio channel response associated with the spatial layer. An interference covariance matrix R representing power of interference is computed from at least one other spatial layer in the set of input streams and correlation of the interference within the set of input streams of the spatial layer. A per-layer interference rejection is performed, combining equalization on the set of input streams, comprising: a) estimating x=R1h as a combination of a set of linear equations, wherein the number of linear equations is defined by an input parameter to be equal to or smaller than dimensions of the interference covariance matrix; and b) computing an estimate of a transmitted symbol on the basis of the channel vector and the estimated x.

Facilitating sparsity adaptive feedback in the delay doppler domain in advanced networks (e.g., 4G, 5G, 6G, and beyond) is provided herein. Operations of a method can comprise determining, by a first device comprising a processor, a channel covariance matrix in a time-frequency domain based on a channel estimation associated with reference signals received from a second device. The method also can comprise decomposing, by the first device, the channel covariance matrix into a group of component matrices. Further, the method can comprise transforming, by the first device, respective matrices of the group of component matrices into respective covariance matrices in a delay doppler domain. The method also can comprise determining, by the first device, channel state information feedback in the delay doppler domain.

According to an embodiment, a system can comprise a processor and a memory that can store executable instructions that, when executed by the processor, facilitate performance of operations. The operations can include generating a first signal in an initial domain and transforming the first signal into a first portion of a time-frequency grid of a time-frequency domain, resulting in a transformed first signal. The operations further include combining the transformed first signal with a second signal of a second portion of the time-frequency grid, resulting in a combined signal, and transmitting the combined signal to a user equipment device for a further transformation. The operations further include receiving a response signal from the user equipment device that was configured, based on the further transformed first signal.