公开(公告)号：US20200351898A1

公开(公告)日：2020-11-05

申请号：US16962523

申请日：2019-04-22

Applicant: Sony Corporation

Inventor： Youping ZHAO ,  Lu SHI ,  Yu ZHAO ,  Chen SUN ,  Xin GUO

IPC: H04W72/08 ,  H04W16/10

Abstract: Provided are an electronic device and method for wireless communication, and a computer-readable storage medium. The electronic device comprises: a processing circuit, configured to: construct an interference overlapping diagram based on an interference/coexistence relationship between resource application systems within a management range, wherein a connection point of the interference overlapping diagram represents one or more resource application systems, and an edge of the interference overlapping diagram represents the fact that interference exists between the resource application systems represented by two connection points linked with the edge; remove one or more edges in the interference overlapping diagram so as to enable the interference overlapping diagram to meet a pre-determined condition after the removal; and carry out channel/resource allocation based on the adjusted interference overlapping diagram.

公开(公告)号：US20210006342A1

公开(公告)日：2021-01-07

申请号：US16970953

申请日：2019-02-22

Applicant: Sony Corporation

Inventor： Youping ZHAO ,  Lu SHI ,  Chen SUN ,  Xin GUO

IPC: H04B17/345 ,  G06N3/04 ,  G06N3/08 ,  H04B17/382 ,  H04W72/08 ,  H04W72/04 ,  H04W16/14

Abstract: A frequency spectrum management device includes a processing circuit configured to acquire, with regard to a position of a primary user sample, a plurality pieces of sample information, each of the plurality pieces of sample information comprising information of a plurality of secondary user samples, and an aggregate interference generated by the plurality of secondary users on the primary user sample; and training a neural network model by taking the information of the plurality of secondary user samples as an input of the neural network model and taking the aggregate interference generated by the plurality of secondary user samples on the primary user sample as an output of the neural network model, so as to determine a parameter set of the neural network model corresponding to the position of the primary user sample.