Abstract: Aspects of the subject disclosure may include, for example, receiving, via a combination of coherent modular antenna panels, pilot signals from a user equipment (UE) in single-user (Su)-multiple-input-multiple-output (MIMO) mode, wherein each modular antenna panel of the combination of coherent modular antenna panels comprises a group of antenna elements, resulting in multiple groups of antenna elements, and estimating an UL channel for the UE and a DL channel for the UE using channel vectors derived from the pilot signals, resulting in reciprocity-based channel estimation, wherein the estimating the DL channel using the channel vectors derived from the pilot signals reduces or eliminates a need to transmit, using each antenna element in the multiple groups of antenna elements, DL pilot signals for DL channel estimation, thereby reducing or eliminating overhead for the UE. Other embodiments are disclosed.

Abstract: 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.

Abstract: Aspects of the subject disclosure may include, for example, identifying a coherence time associated with a user equipment (UE) and a coherence bandwidth associated with the UE, determining a coherence block based on the coherence time and the coherence bandwidth, determining whether the coherence block satisfies a threshold, based on a first determination that the coherence block satisfies the threshold, employing a plurality of modular antenna arrays in multi-user (Mu)-multiple-input-multiple-output (MIMO) for the UE, and, based on a second determination that the coherence block does not satisfy the threshold, employing the plurality of modular antenna arrays in single-user (Su)-MIMO for the UE. Other embodiments are disclosed.

Abstract: 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.

Abstract: Aspects of the subject disclosure may include, for example, obtaining, over an uplink (UL) using an aggregation of modular antenna arrays, a modulated signal that includes feedback transmitted by a user equipment (UE), wherein the aggregation of modular antenna arrays comprises multiple groups of antenna elements, after the obtaining the modulated signal, performing a demodulation of the modulated signal, determining demodulator constellation errors from the demodulation of the modulated signal, performing an error gradient weight adaptation responsive to the determining the demodulator constellation errors to derive revised weights for various antenna elements of the multiple groups of antenna elements, and applying the revised weights to the various antenna elements of the multiple groups of antenna elements to adjust signals received over the UL. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining channel cross correlation data relating to multiple user equipment (UEs) being served in a cell, wherein the channel cross correlation data comprises 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 does not satisfy the correlation threshold, adjusting a downlink (DL) transmit power allocation for transmissions directed to the first UE. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving, over an uplink (UL) via a combination of coherent modular antenna arrays, first transmissions from a first user equipment (UE) and second transmissions from a second UE, wherein the first UE and the second UE are being served by the cell in multi-user (Mu)-multiple-input-multiple-output (MIMO) mode, determining, based on the first transmissions and the second transmissions, that a probability of the second UE interfering with the first UE in the UL satisfies a particular threshold, responsive to the determining, identifying an adjustment to an UL transmit power for the first UE, and causing the first UE to implement the adjustment to the UL transmit power. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving and over a first interface of a radio access network (RAN), first data corresponding to a plurality of user equipment (UEs), wherein the first data is associated with first network parameters, and wherein the first network parameters include scheduled UEs, UE spatial separability, or a combination thereof, transmitting the first data to an artificial intelligence (AI) model, responsive to the transmitting the first data to the AI model, obtaining second data from the AI model, wherein the second data is associated with second network parameters, and wherein the second network parameters include downlink (DL) transmit power allocation, and causing the second data to be provided over a second interface to a control unit to enable use of the second data for the plurality of UEs. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving sounding reference signal (SRS) symbols from antenna elements of each of multiple modular antenna arrays, wherein the multiple modular antenna arrays are operatively combined to form a coherent antenna system, performing an uplink (UL) channel estimation and a downlink (DL) channel estimation, across a plurality of physical resource blocks (PRBs), based on the SRS symbols, calculating, for the antenna elements, a plurality of uplink (UL) combining weights based on the UL channel estimation and a plurality of downlink (DL) precoder weights based on the DL channel estimation, and causing the plurality of UL combining weights and the plurality of DL precoder weights to be applied to the antenna elements, thereby adjusting beamforming of the coherent antenna system. Other embodiments are disclosed.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Embodiments for port reconfiguration for passive intermodulation interference mitigation are presented herein. A base station device comprises a signal processing component comprising a passive intermodulation interference component and an antenna configuration component. The passive intermodulation interference component determines passive intermodulation interference corresponding to uplink signals that have been received, via a configurable cellular antenna array of the base station device, from respective wireless devices of a group of wireless devices that have been communicatively coupled to the base station device. The antenna configuration component selects a defined configuration of a group of cellular antenna ports of the configurable cellular antenna array to facilitate a reduction of the passive intermodulation interference corresponding to the uplink signals.

Abstract: The described technology is generally directed towards jointly optimizing coverage, capacity, and layer balance in a wireless communications network while maintaining cell edge use device performance constraints. Aspects comprise monitoring edge user devices for performance information, and modifying the network based on the performance information, including jointly optimizing by changing antenna parameter data, layer balancing, handover biasing per cell neighbor pair, modifying scheduling priorities, and optimizing sector face harmonic throughput. Balancing uplink and downlink coverages are considered in the joint optimization. Further, interference is detected, predicted (as needed) and mitigated.

Abstract: The described technology is generally directed towards jointly optimizing coverage, capacity, and layer balance in a wireless communications network while maintaining cell edge use device performance constraints. Aspects comprise monitoring edge user devices for performance information, and modifying the network based on the performance information, including jointly optimizing by changing antenna parameter data, layer balancing, handover biasing per cell neighbor pair, modifying scheduling priorities, and optimizing sector face harmonic throughput. Balancing uplink and downlink coverages are considered in the joint optimization. Further, interference is detected, predicted (as needed) and mitigated.

Abstract: A system includes a base band unit pooling component that determines, via a base band unit pool of base station devices, respective uplink channel estimates of an uplink channel wirelessly coupling, using frequency division duplexing via respective modular antenna elements, a user equipment to the base band unit pool. A downlink channel estimation component of the system derives, based on the respective uplink channel estimates, a downlink channel estimate of a downlink channel wirelessly coupling, using the frequency division duplexing via a portion of the respective modular antenna elements corresponding to a base station device of the base band unit pool, the base station device to the user equipment. In turn, the system generates, using the downlink channel estimate, a group of downlink sector beams to be transmitted to the user equipment using the downlink channel via the portion of the respective modular antenna elements.

Abstract: The described technology is generally directed towards jointly optimizing coverage, capacity, and layer balance in a wireless communications network while maintaining cell edge use device performance constraints. Aspects comprise monitoring edge user devices for performance information, and modifying the network based on the performance information, including jointly optimizing by changing antenna parameter data, layer balancing, handover biasing per cell neighbor pair, modifying scheduling priorities, and optimizing sector face harmonic throughput. Balancing uplink and downlink coverages are considered in the joint optimization. Further, interference is detected, predicted (as needed) and mitigated.

Abstract: A passive intermodulation detection system is provided to remotely identify passive intermodulation at a base station site and diagnose the type of intermodulation and location of the non-linearity that is the source of the passive intermodulation. A passive intermodulation cancelation system can generate an equivalent signal to a received interference signal and use the equivalent signal to generate an error signal. The error signal can then be used to reinforce a learning system and converge on a steady state of the interference signal to cancel other interference signals.

Abstract: A passive intermodulation detection system is provided to remotely identify passive intermodulation at a base station site and diagnose the type of intermodulation and location of the non-linearity that is the source of the passive intermodulation. A passive intermodulation cancelation system can generate an equivalent signal to a received interference signal and use the equivalent signal to generate an error signal. The error signal can then be used to reinforce a learning system and converge on a steady state of the interference signal to cancel other interference signals.

Abstract: A passive intermodulation detection system is provided to remotely identify passive intermodulation at a base station site and diagnose the type of intermodulation and location of the non-linearity that is the source of the passive intermodulation. A passive intermodulation cancelation system can generate an equivalent signal to a received interference signal and use the equivalent signal to generate an error signal. The error signal can then be used to reinforce a learning system and converge on a steady state of the interference signal to cancel other interference signals.