Abstract:
A user equipment (UE) and a method are presented. The UE comprises a receiver unit and a processing circuit, and is configured for receiving wireless signals. The processing circuit is arranged for performing pre-detection of the received signals providing an initial estimation of transmitted signals. The processing circuit is also arranged for splitting the transmitted signal into disjoint subgroups, each one covering a subgroup of all layers used for the transmitted signal such that the subgroups together cover all the layers. The processing circuit is also arranged for interference cancellation performed on the subgroups of transmitted signals based on the initial estimation of the transmitted signals. The processing circuit is also arranged for detection of the subgroups of transmitted signals by utilization of an MLD algorithm, wherein the subgroup of layers within each one of the subgroups of transmitted signals is detected simultaneously.
Abstract:
Receiver and method in a receiver, for iterative channel estimation and data decoding of signals received from a radio network node, located in a wireless communication network. The method comprises detecting a signal of the radio network node, performing channel estimation of the detected signal, based on iterative application of a Space Alternating Generalised Expectation and maximisation, SAGE, algorithm, determining a channel/link quality, based on the performed channel estimation and the estimated channel parameters, selecting Multiple-Input and Multiple-Output, MIMO, detector, based on the determined channel quality, determining to enable and/or disable, respectively, soft-Iterative Channel Estimation, soft-ICE, based on the determined channel quality, and iterating the performed channel estimation for a predetermined number of times.
Abstract:
A failure compensation method includes detecting a Digital Beam-forming (DBF) coefficient of each of multiple transceiver channels in real time. When a failure of any one of the transceiver channels is detected, a current group of DBF coefficients of the multiple transceiver channels at a current failure status and corresponding failure mode information are obtained. Optimization processing is performed on the current group of DBF coefficients through a preset optimization algorithm so as to calculate a first group of DBF coefficients which is more adaptive to the failure mode information than the current group of DBF coefficients. The DBF coefficients of the transceiver channels are updated according to the first group of DBF coefficients.
Abstract:
A computer-implemented method for performing application data consistency management among a plurality of computing devices within a communication network includes retrieving by a first device, application data from a second device. The application data includes an app ID and a first application version number of an app residing on the second device. A first database table is updated using an object type associated with the app ID and the first application version number. The object type identifies a database table schema of a data object used by the app and a plurality of data fields of the data object. Data stored by one or more of the plurality of data fields is synchronized with a third device based on a second application version number of the app residing on the third device and the first database table.
Abstract:
An operation method with fingerprint recognition, an apparatus, and a mobile terminal relate to the field of communications technologies, where the method includes obtaining a fingerprint input by a user's finger at a preset position on a touchscreen of the mobile terminal, displaying at least one shortcut when the fingerprint matches a preset fingerprint and a duration of the finger at the preset position on the touchscreen exceeds a predetermined duration, detecting a sliding operation input by the finger using the preset position as a start position, determining a first shortcut from the at least one shortcut according to a direction of the sliding operation and running the first shortcut. Thereby reducing operation duration, and improving operation efficiency.
Abstract:
A device-cloud collaboration method, platform, and apparatus, where the device-cloud collaboration method includes: obtaining current spatial information of each target terminal; tracking a spatial information change of each target terminal, to obtain a spatial information change status of each target terminal; and determining, based on spatial information-based arbitration conditions preset for different target mobile applications and the spatial information change status of the target terminal corresponding to the different target mobile applications, whether to trigger subsequent operations related to the different target mobile applications. The device-cloud platform blocks a change in which the user is not interested through arbitration of a spatial information change of the user, and provides an appropriate spatial information change to a mobile application, or triggers a subsequent operation of the mobile application.
Abstract:
An antenna device is provided, which includes a first antenna unit and a second antenna unit. The first antenna unit includes a first radiation module, a power divider/combiner network connected to the first radiation module, and a feeder interface connected to the power divider/combiner network. The feeder interface is configured to connect to a radio remote unit (RRU) or a base station. The second antenna unit includes a second radiation module, a transceiver array connected to the second radiation module, a baseband processing unit (BPU) connected to the transceiver array, and an interface connected to the BPU. The interface of the second antenna unit is configured to connect to a baseband unit (BBU). Therefore, after the existing passive antenna is replaced by the provided antenna device, the RRU or base station in the original network can still be used, which reduces waste of resources.
Abstract:
Embodiments of the present invention disclose a method and an apparatus for transmitting a CPRI signal by means of a coaxial line. The method includes: converting a Common Public Radio Interface CPRI signal sent by a sending end into a parallel data stream; extracting valid data from the data stream by performing frame parsing; and converting the valid data into a transmittable analog signal, modulating the analog signal to a specified frequency, and sending it to a receiving end by means of a coaxial line. The present invention applies to transmission of a CPRI signal by means of a coaxial line.
Abstract:
The present disclosure relates to an iterative pilot symbol interference cancellation method in a receiver node of a cellular wireless communication system. The method includes receiving a superimposed signal comprising pilot symbols and data symbols associated with a serving cell and pilot symbols associated with one or more interfering cells, extracting a first set from the superimposed signal. The first set includes a plurality of data symbols associated with said serving cell which are affected by an interference from the one or more interfering cells. The method further includes estimating an interference of the first set, removing interference from the first set using the estimated interference, estimating the plurality of data symbols, subtracting the estimated plurality of data symbols from the first set, and repeating the estimating an interference, the removing interference, the estimating plurality of data symbols, and the subtracting steps i number of times, where i≧1.
Abstract:
A failure compensation method includes detecting a Digital Beam-forming (DBF) coefficient of each of multiple transceiver channels in real time. When a failure of any one of the transceiver channels is detected, a current group of DBF coefficients of the multiple transceiver channels at a current failure status and corresponding failure mode information are obtained. Optimization processing is performed on the current group of DBF coefficients through a preset optimization algorithm so as to calculate a first group of DBF coefficients which is more adaptive to the failure mode information than the current group of DBF coefficients. The DBF coefficients of the transceiver channels are updated according to the first group of DBF coefficients.