Aspects of the subject disclosure may include, for example, receiving a plurality of orthogonal sounding reference signals (SRS) from a plurality of user equipment (UEs), wherein each SRS of the plurality of orthogonal SRS is provided by a respective UE of the plurality of UEs, determining a downlink (DL) channel, in frequency division duplex (FDD), using spatial correlations relating to the plurality of UEs, wherein the spatial correlations are based on the plurality of orthogonal SRS, calculating a plurality of DL precoding weights for a plurality of coherent modular antenna panels responsive to the determining the DL channel, and applying the plurality of DL precoding weights to the plurality of coherent modular antenna panels to enable multi-user (Mu)-multiple-input-multiple-output (MIMO) for the plurality of UEs. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, performing a beam sweep in a downlink (DL) using an aggregation of modular antenna arrays, wherein each modular antenna array of the aggregation of modular antenna arrays comprises a set of antenna elements, resulting in multiple sets of antenna elements, and wherein the aggregation of modular antenna arrays is operated in multi-user (Mu)-multiple-input-multiple-output (MIMO) mode in which parallel transmissions are facilitated for a plurality of user equipment (UEs), after the performing the beam sweep, receiving, in an uplink (UL), a passive intermodulation (PIM) response associated with a PIM source, determining adjustments for particular antenna elements of the multiple sets of antenna elements based on the PIM response, and causing the particular antenna elements to be operated based on the adjustments when facilitating the parallel transmissions for the plurality of UEs. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, obtaining spatial separability data for multiple user equipment (UEs) being served in a cell, wherein the spatial separability data relates to a correlation coefficient associated with a first UE of the multiple UEs and a second UE of the multiple UEs, identifying that the first UE is experiencing decreasing throughput, responsive to the identifying that the first UE is experiencing decreasing throughput, determining whether the correlation coefficient associated with the first UE and the second UE satisfies a correlation threshold, and, based on a first determination that the correlation coefficient satisfies the correlation threshold, causing a scheduling priority for the first UE to be increased. Other embodiments are disclosed.

A distributed base station system comprises a remote radio unit, RRU, and a base band unit, BBU, connected to the RRU over a fronthaul link, the RRU being connected to N antennas. The method comprising by the RRU: obtaining uplink signals as received at the N antennas from a number of User Equipment, UEs, wirelessly connected to the RRU; obtaining a channel estimation matrix of the wireless communication channels; determining an interference covariance estimation matrix based on the obtained channel estimation matrix and on other channel information different from the channel estimation matrix; sending information on the channel estimation matrix and on the interference covariance estimation matrix to the BBU; determining intermediate signals based on the uplink signals, the channel estimation matrix and the interference covariance estimation matrix, and sending the intermediate signals to the BBU.

A signal processing device includes: a transmission path estimator that estimates a first transmission path characteristic of a transmission signal using a vertical signal out of vertical and horizontal signals resulting from being received by a vertical polarization antenna and a horizontal polarization antenna; a transmission path estimator that estimates a second transmission path characteristic of the transmission signal using the horizontal signal; a weight calculator that calculates a first weight for the vertical signal and a second weight for the horizontal signal, using the first transmission path characteristic and the second transmission path characteristic; and a weighting applier that applies weighted summation to the vertical signal and the horizontal signal using the first weight and the second weight.

Facilitating the reduction and/or mitigation of spatial emissions in a multi antenna wireless communications system is provided herein. A system can comprise a memory that stores executable instructions that, when executed by a processor, facilitate performance of operations that can comprise applying a first signal linearization to a first output signal of a first power amplifier based on a determination that an adjacent channel leakage ratio of the first output signal of the first power amplifier fails to satisfy a defined output value. The operations can also comprise applying a second signal linearization to a group of output signals of a group of power amplifiers for a defined azimuth direction associated with channel frequencies of the group of output signals and applying a third signal linearization to the group of output signals for a defined elevation direction associated with the channel frequencies of the group of output signals.

Aspects of the subject disclosure may include, for example, determining a coherence block for each user equipment (UE) of a plurality of UEs being served by the first cell, resulting in a plurality of coherence blocks, responsive to the determining, identifying a smallest coherence block from the plurality of coherence blocks, identifying a pilot sequence length based on the smallest coherence block, determining a plurality of orthogonal pilot sequences based on the identifying the pilot sequence length, designating, from the plurality of orthogonal pilot sequences, a first group of orthogonal pilot sequences for use in the first cell, and distributing, to each neighboring cell of a plurality of neighboring cells adjacent to the first cell, a respective group of orthogonal pilot sequences from a remainder of the plurality of orthogonal pilot sequences, to prevent pilot contamination between the first cell and the plurality of neighboring cells. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, identifying a coherence time for a user equipment (UE), identifying a coherence bandwidth for the UE, determining a coherence block based on the coherence time and the coherence bandwidth, and, based on a first determination that the coherence block satisfies a threshold, permitting the UE to transmit sounding reference signal (SRS) data over a smaller SRS bandwidth that is smaller than a default SRS bandwidth, at a lower periodicity that is lower than a default periodicity, or a combination thereof, thereby conserving power resources of the UE. Other embodiments are disclosed.

A method for designing a channel estimation and data detection networks is provided herein. The problem of channel estimation for linear systems has effectively been solved—not the case for non-linear systems. A deep learning framework for channel estimation, data detection, and pilot signal design is described to address the nonlinearity in such systems.

A receiver adapted to receive a modulated signal including useful and interfering signals and to detect information bits carried thereon. The modulated signal comprises signal components each one associated with a respective modulation subcarrier and including respective useful and interfering signal components. The receiver may include a first estimation unit providing a respective first useful signal component estimate indicative of the useful signal component for each signal component; a second estimation unit providing a respective second useful signal component estimate indicative of the useful signal component for each signal component; a channel estimation unit estimating, for each signal component, a first channel frequency response associated with the respective useful signal component and a second channel frequency response associated with the respective interfering signal component; and a control unit determining, for each signal component, an interference level experienced by that signal component according to respective first and second channel frequency responses.