A device includes a selection circuit that is configured to generate a bias level. The device also includes a combinational circuit coupled to the selection circuit. The combinational circuit is configured to generate a distortion correction factor used offset inter-symbol interference from a data stream on a distorted bit based on the bias level to generate a correction signal. The device additionally includes a latching element coupled to the combinational circuit and configured to receive the first correction signal.

To enable use of channel related information more suitable for propagation environment. A wireless communication apparatus according to an example aspect of the present invention includes: a memory storing instructions; and one or more processors configured to execute the instructions to: acquire correlation information regarding correlation between first channel related information generated through channel estimation for a first estimation period and second channel related information generated through channel estimation for one or more estimation periods before the first estimation period; and perform control for a statistic of channel related information, based on the correlation information.

An eNodeB operable to perform Enhanced Interference Mitigation & Traffic Adaptation (eIMTA) is disclosed. The eNodeB can select a radio network temporary identifier (RNTI) that is used for eIMTA. The eNodeB can determine a periodicity for monitoring a physical downlink control channel (PDCCH) with the RNTI. The eNodeB can determine a set of subframes to monitor the PDCCH with the RNTI within the periodicity. The eNodeB can encode, for transmission to a user equipment (UE), the RNTI, the periodicity for monitoring the PDCCH with the RNTI, and the set of subframes to monitor the PDCCH with the RNTI.

A wireless communication system includes an RF reception unit configured to receive a radio signal from a terminal; a channel estimation unit configured to estimate channel information of a wireless transmission path with respect to the terminal; a demodulation unit configured to perform soft decision demodulation on the radio signal; a quantization unit configured to quantize a log likelihood ratio obtained through soft decision demodulation in the demodulation unit, on the basis of a statistical distribution determined using an average value of the log likelihood ratio determined in accordance with a modulation scheme used in wireless communication with the terminal and a variance of a log likelihood ratio obtained on the basis of the channel information; and a decoding unit configured to perform a decoding process on the log likelihood ratio quantized by the quantization unit.

A computer-implemented reconstruction method of discrete digital signal recovery in noisy overloaded wireless communication systems in the presence of hardware impairments that is characterized by a channel matrix of complex coefficients, the method including, receiving the signal from channel by a signal detector, estimation of hardware impairments parameter ? is done at the receiver, estimation noise power is done by a noise power estimator, forwarding the detected signal and hardware impairments parameter ? and noise power estimation to a decoder that estimates the transmitted symbol, wherein the estimation of the decoder produces a symbol that could probably have been transmitted it is forwarded to a de-mapper, which outputs the bit estimates corresponding to the estimated transmit signal and the corresponding estimated symbol to a microprocessor for further processing.

A method includes estimating an uplink channel for a terminal device, based on an amount of antennas used by an access node for transmitting signals to the terminal device, antennas used for receiving the transmitted signals at the terminal device, and sub-bands used for transmitting the signals. Based on the estimation, a channel covariance matrix is determined for a precoder comprised in a transmitter of the access node by determining a limited number of elements of a full dimensional channel covariance matrix, which is different than the channel covariance matrix. The limited number of elements are elements corresponding to i-th row and j-th column of the channel covariance. Correlation computation is performed for the limited number of elements. Elements of the full-dimensional channel covariance matrix that are excluded from the limited number of elements are determined and set to be zero. Precoding is performed using the determined channel covariance matrix.

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.

Various embodiments disclosed herein provide for a reciprocity based channel state information acquisition scheme for frequency division duplex wireless communications systems. By converting channel state information from a traditional frequency-time domain to a Delay-Doppler domain, the channel state information feedback overhead can be reduced since the multi-path of radio propagation is reciprocal in terms of each ray and each cluster of antenna elements. Since the surrounding objects create the same multipath fading for both uplink and downlink transmissions, modeling the channel state information in the Delay-Doppler domain, and adjusting the sign of the Doppler value (negative/positive) can account for the multipath characteristics in both uplink and downlink

Techniques and examples of overhead reduction for linear combination codebook and feedback mechanism in mobile communications are described. A user equipment (UE) receives from a base station of a network one or more reference signals via a communication link between the UE and the base station. The UE constructs a channel state information (CSI) feedback by utilizing a correlation of channel responses in a frequency domain to reduce feedback overhead. The UE then transmits the CSI feedback to the base station.

A device includes a selection circuit that is configured to generate a bias level. The device also includes a combinational circuit coupled to the selection circuit. The combinational circuit is configured to generate a distortion correction factor used offset inter-symbol interference from a data stream on a distorted bit based on the bias level to generate a correction signal. The device additionally includes a latching element coupled to the combinational circuit and configured to receive the first correction signal.