Abstract: The present application relates to devices and components including apparatus, systems, and methods to perform measurements on reference signals or synchronization signal. In an example, timing requirements for performing such measurements can be dynamically changed depending on, at least, a measurement on one of the reference signal or the synchronization signal.

Abstract: The present application relates to devices and components including apparatus, systems, and methods to perform measurements on reference signals or synchronization signal. In an example, timing requirements for performing such measurements can be dynamically changed depending on, at least, a measurement on one of the reference signal or the synchronization signal.

Abstract: The present application relates to devices and components including apparatus, systems, and methods to perform measurements on reference signals or synchronization signal. In an example, timing requirements for performing such measurements can be dynamically changed depending on, at least, a measurement on one of the reference signal or the synchronization signal.

Abstract: A method for recognizing a character includes: obtaining a character; converting the character into a radical based character recognition result, where the radical based character recognition result comprises symbols indicating radicals of the character and a structure of the radicals of the character; and recognizing the character based on the radical based character recognition result.

Abstract: A method for recognizing a character includes: obtaining a character; converting the character into a radical based character recognition result, where the radical based character recognition result comprises symbols indicating radicals of the character and a structure of the radicals of the character; and recognizing the character based on the radical based character recognition result.

Abstract: The present invention provides a method for scheduling a SDMA user group in an MU MIMO system and a base station. The method comprise the following steps: calculating, according to channel state information, a projection matrix of a channel matrix of each user in a user group on a joint channel matrix of other users in the same user group, where the user group is selected from a plurality of users; calculating a capacity metric of the user group according to the projection matrixes; and selecting an optimal user group according to the metrics of a plurality of user groups. The present invention effectively eliminates the MUI on terminal users at the transmitter side, and reduces the computational complexity.

Abstract: The present invention relates to the field of communications technologies and discloses a method and an apparatus for linear precoding in a multi-user multiple-input multiple-output system, which can reduce computational complexity, improve system efficiency, and enhance system robustness by using a linear precoding technology in the case of imperfect CSI. According to the solutions provided in embodiments of the present invention, a first matrix is determined according to channel information of the system; an equivalent-channel matrix is acquired according to the first matrix; the equivalent-channel matrix is decomposed, and a second matrix is obtained through computation; a precoding matrix is obtained according to the first matrix and the second matrix, so that a power balance is achieved between spatial streams of each user after two signals to be concurrently transmitted are processed by using the precoding matrix.

Abstract: The present invention provides a method for scheduling a SDMA user group in an MU MIMO system and a base station. The method comprise the following steps: calculating, according to channel state information, a projection matrix of a channel matrix of each user in a user group on a joint channel matrix of other users in the same user group, where the user group is selected from a plurality of users; calculating a capacity metric of the user group according to the projection matrixes; and selecting an optimal user group according to the metrics of a plurality of user groups. The present invention effectively eliminates the MUI on terminal users at the transmitter side, and reduces the computational complexity.