摘要:
An embodiment of the present invention discloses a mobile online game system which includes a first mobile game terminal, a second mobile game terminal and a game platform, and the first mobile game terminal acquires a P2P communication address of the second mobile game terminal from the game platform, creates a P2P connection with the second mobile game terminal, and communicates with the second mobile game terminal via the P2P connection. An embodiment of the present invention discloses as well a method for communicating between mobile game terminals. Because of the adoption of a P2P connection between the mobile game terminals for communicating, the forwarding of data interaction between the mobile game terminals by the game platform in the related art is avoided, so that the rate and efficiency of data interaction between the mobile game terminals are improved, and the data processing burden on the game platform is released.
摘要:
Embodiments of the present invention provide a data transmission method, a base station, and user equipment. The method includes: performing rotation processing on a preset precoding matrix (101); performing precoding processing on to-be-sent information according to a precoding matrix obtained after the rotation processing (102); and sending to-be-sent information obtained after the precoding processing (103). In the embodiments of the present invention, indication information shared by a transmit end and a receive end is used to indicate whether to rotate a precoding matrix, and to-be-sent information is precoded according to the indication information. The transmit end and the receive end in this method learn the indication information in advance, and system security is improved by instructing the precoding matrix to perform flexible transformation.
摘要:
Embodiments of the present invention provide a method for predicting information propagation in a social network, including: acquiring target information to be predicted, and acquiring influences of K clusters, where the target information is posted or forwarded by a first user at a first moment, and K is a positive integer; determining a role probability distribution of the first user, and determining a second user who has not propagated the target information, where the role probability distribution of the first user is used to indicate probabilities that the first user belongs separately to the K clusters; and determining, according to the influences of the K clusters and the role probability distribution of the first user, a probability that the second user forwards the target information from the first user. In the embodiments of the present invention, propagation of target information in a social network can be predicted by using influences of K clusters. The prediction method has a small amount of computation and high computational efficiency, and can resolve a cold start problem for a new user.