Abstract: 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.

Abstract: 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.

Abstract: An apparatus including: a MIMO antenna for transmitting beamformed signals on a plurality of beams using a common frequency- and time-limited physical channel resource; circuitry for computing a beamforming gain of each beam in each sub-sector in a coverage area of said plurality of beams; circuitry for determining a beam dominance region of each beam within the coverage area of said plurality of beams; circuitry for determining, within the dominance region of each beam, an average of the beamforming gain of each of the other beams at least partially co-locating within said beam dominance region; circuitry for determining inter-beam interference estimations as an average interference of each beam from each of said other beams; and circuitry for scheduling transmissions of the beams by said MIMO antenna on said common frequency- and time-limited physical channel resource based on said inter-beam interference estimations.

Abstract: Disclosed is a method for determining open loop power control parameters. A first set of key performance indicators associated with a first set of open loop power control parameters is obtained from one or more first base stations. A statistical model is determined based at least partly on the first set of key performance indicators and the first set of open loop power control parameters. A second set of open loop power control parameters is determined based at least partly on the statistical model.

Abstract: The present disclosure provides a method and system for real-time prediction of one or more aspects associated with a fashion retailer for productive sales. The method and system corresponds to an intelligent merchandising system. The intelligent merchandising system receives a plurality of data associated with a plurality of stores of each of one or more fashion retailers. The intelligent merchandising system bins a liquidation sales data from the plurality of data. The intelligent merchandising system clusters a plurality of products into one or more clusters at one or more levels. The intelligent merchandising system smooths the plurality of data for the one or more clusters at each of the one or more levels based on moving averages analysis. The intelligent merchandising system predicts the one or more aspects associated with the plurality of products and the plurality of stores.

Abstract: An apparatus comprising: a MIMO antenna for transmitting beamformed signals on a plurality of beams using a common frequency- and time-limited physical channel resource; means for computing a beamforming gain of each beam in each sub-sector in a coverage area of said plurality of beams; means for determining a beam dominance region of each beam within the coverage area of said plurality of beams; means for determining, within the dominance region of each beam, an average of the beamforming gain of each of the other beams at least partially co-locating within said beam dominance region; means for determining inter-beam interference estimations as an average interference of each beam from each of said other beams; and means for scheduling transmissions of the beams by said MIMO antenna on said common frequency- and time-limited physical channel resource based on said inter-beam interference estimations.

Abstract: A system and method for improving outcomes in various person-to-person goal-oriented interactions is disclosed. Specifically, the method and system enable intelligent insights and recommendations to be presented to a facilitator of the interaction via a virtual assistant user interface. When the facilitator seeks to produce a specific goal with respect to the participant, the system can be configured to automatically generate, based on a series of inputs about the participant and previous interactions, intelligent recommendations that have a high likelihood of successfully promoting the target goal in the current scenario.

Abstract: Disclosed herein is a salt of formula I: where R1, X, n, R, R1, Y, m, p, q, Z and o are as defined herein. Also disclosed herein are methods of using said salts in chemical synthesis, such as to prepare compounds isotopically enriched in 18F for use in PET & imaging, as well as methods to make the compounds of formula I.

Abstract: An apparatus, method and computer program is described above: determining a coupling gain for a user device within a cell of a mobile communication system; comparing the determined coupling gain with a coupling gain threshold; setting the user device to operate in a device-specific CSI-RS mode of operation in the event that the determined coupling gain is less than the coupling gain threshold, wherein, in the device-specific CSI-RS mode of operation, the user device is configured to use device-specific reference signal transmissions for the determination of channel state information; and setting the user device to operate in a cell-specific CSI-RS mode of operation in the event that the determined coupling gain is not less than the coupling gain threshold, wherein, in the cell-specific CSI-RS mode of operation, the user device is configured to use cell-specific reference signal transmissions for the determination of channel state information.

Abstract: Systems and methods receive an asset identification and one or more criterion to at least one of a locale, a market, a target, or an experiment and process a graph having a plurality of sub-graphs to define an asset having one or more desired variants. The asset is then published having the one or more desired variants. Multiple entities are represented as a single entity, which can be used for localization of the asset (e.g., image, video, custom data) or pages. By associating one entity (e.g., an image) across all variations of the entity, the needed storage space for the plurality of assets (e.g., images or videos) is reduced.

Abstract: Methods and apparatus for realizing dynamic point selection improve the cell-edge throughput and geometric mean of release 8/9 UEs. The method comprises a step of receiving estimated channel quality reported by all the TPs in the CoMP set, a step of switching the serving TP for the UEs based on the estimated channel quality and/or cell load, a step of forwarding the scheduled data from the primary TP to the serving TP, a step of separately transmitting PDCCH to the UEs by the primary TP and transmitting PDSCH to the UEs by the serving TP. the implementation of the method and apparatus improves the cell-edge throughput and geometric mean of UE throughput by serving UEs instantaneously from the cell that provides better throughput accounting for fast time-scale channel fluctuations and/or load. It helps in reducing interference due to data getting drained faster when users are served from cells with better channel conditions.

Abstract: According to an aspect, there is provided a computing device for controlling terminal device uplink transmission power. Each terminal device is configured to determine uplink transmission power based on two power control parameters—a target received power for full pathloss compensation and a pathloss compensation coefficient. The computing device initializes a deep Q-learning network in which a state is defined as cell-specific pairs of the power control parameters, an action is defined as a selection of valid values of power control parameters for a cell and a reward is calculated based on the information on data traffic. The computing device trains the deep Q-learning network to approximate a Q value function, determines optimal power control parameters based on thereon and causes transmitting them to access nodes.

Abstract: According to an aspect, there is provided a computing device for controlling terminal device uplink transmission power. Each terminal device is configured to determine uplink transmission power based on two power control parameters: a target received power for full pathloss compensation and a pathloss compensation coefficient. The computing device comprises means for performing the following. Information on data traffic in a plurality of cells is maintained in a database. The computing device initializes a deep Q-learning network in which a state is defined as cell-specific pairs of the power control parameters, an action is defined as a selection of valid values of power control parameters for a cell and a reward is calculated based on the information on data traffic. The computing device trains the deep Q-learning network to approximate a Q value function, determines optimal power control parameters based on thereon and causes transmitting them to access nodes.

Abstract: Disclosed is a method for determining open loop power control parameters. A first set of key performance indicators associated with a first set of open loop power control parameters is obtained from one or more first base stations. A statistical model is determined based at least partly on the first set of key performance indicators and the first set of open loop power control parameters. A second set of open loop power control parameters is determined based at least partly on the statistical model.

Abstract: A system for creating and managing an artificial conversational entity using an artificial intelligence (AI) based communications system is disclosed. The system may comprise a data access interface to receive instructions with configuration details from a requestor to create an artificial conversational entity, as well as data from a data source. The system may comprise a processor to generate the artificial conversational entity by: identifying a data source type associated with the data; performing data treatment on the received data based on the data source type in order to focus data on at least one targeted topic; determining and applying a compression technique to the received data; performing an intellective computing technique on the compressed data; performing a synoptic evaluation of the data; and generating an executable based on the synoptic evaluation.

Abstract: Methods and Systems are disclosed for allocating a time-frequency resource of a large cell base station either to a selected first user equipment associated with the base station, or to a selected self-backhaul link associated with a small cell within the coverage area of the large cell base station. In embodiments, data is provided representing target allocation proportions of the time-frequency resource, for each of the first user equipment(s) and the one or more backhaul link(s). Allocations are made, for each of a series of time units or intervals, either to a selected first user equipment or backhaul link based on the target data.

Abstract: The present disclosure provides a method and system for real-time prediction of one or more aspects associated with a fashion retailer for productive sales. The method and system corresponds to an intelligent merchandising system. The intelligent merchandising system receives a plurality of data associated with a plurality of stores of each of one or more fashion retailers. The intelligent merchandising system bins a liquidation sales data from the plurality of data. The intelligent merchandising system clusters a plurality of products into one or more clusters at one or more levels. The intelligent merchandising system smooths the plurality of data for the one or more clusters at each of the one or more levels based on moving averages analysis. The intelligent merchandising system predicts the one or more aspects associated with the plurality of products and the plurality of stores.

Abstract: Systems and methods receive an asset identification and one or more criterion to at least one of a locale, a market, a target, or an experiment and process a graph having a plurality of sub-graphs to define an asset having one or more desired variants. The asset is then published having the one or more desired variants. Multiple entities are represented as a single entity, which can be used for localization of the asset (e.g., image, video, custom data) or pages. By associating one entity (e.g., an image) across all variations of the entity, the needed storage space for the plurality of assets (e.g., images or videos) is reduced.

Abstract: A system and method for improving outcomes in various person-to-person goal-oriented interactions is disclosed. Specifically, the method and system enable intelligent insights and recommendations to be presented to a facilitator of the interaction via a virtual assistant user interface. When the facilitator seeks to produce a specific goal with respect to the participant, the system can be configured to automatically generate, based on a series of inputs about the participant and previous interactions, intelligent recommendations that have a high likelihood of successfully promoting the target goal in the current scenario.

Abstract: Pre-authorized communication services and/or transactions are provided via a plurality of networks in response to a request received from a user to provide at least one of a communication service, a transaction and user account information via a plurality of networks of different types. Prior to processing the request, there is verification of the user's authorization to receive the at least one of the communication service, the transaction, and the user account information, and that an account associated with the user has a sufficient amount currently available for payment of the at least one of the communication service and the transaction. After verification, an authorized account associated with the user is charged in real time as the at least one of the communication service and the transaction is provided.