Beijing University of Posts and Telecommunications

University of Science and Technology Beijing

Xiangming Wen

Zhaoming Lu

Luhan Wang

Wei Zheng

Chenyu Zhang

Zhihong He

Wanqing Guan

Zhengying Wang

Lingchao Guo

Dong Wang

Yu Liu

Jingyi Zhang

Cong Li

Keping Long

Haijun Zhang

Gang Cao

Xinbin Shen

Jinlong Mi

Tao Lei

Chunlei Sun

Yidi Shen

Yan Tian

Keliang Du

Yunan Yan

Tongwei Lu

Shuang Zhou

Zijun Han

An Artificial Intelligence (AI) engine-supporting downlink radio resource scheduling method and apparatus are provided. The AI engine-supporting downlink radio resource scheduling method includes: constructing an AI engine, establishing a Socket connection between an AI engine and an Open Air Interface (OAI) system, and configuring the AI engine into an OAI running environment to utilize the AI engine to replace a Round-Robin scheduling algorithm and a fair Round-Robin scheduling algorithm adopted by a Long Term Evolution (LTE) at a Media Access Control (MAC) layer in the OAI system for resource scheduling to take over a downlink radio resource scheduling process; sending scheduling information to the AI engine through Socket during the downlink radio resource scheduling process of the OAI system; and utilizing the AI engine to carry out resource allocation according to the scheduling information, and returning a resource allocation result to the OAI system.

AI engine-supporting downlink radio resource scheduling method and apparatus

Disclosed is a network capability exposure method, which includes receiving a service request sent by a third-party device; determining a type of a network capability required according to the service request; determining a computing task matching the type of the network capability required; determining computing resources exposed by at least one physical device; obtaining a computing resource exposure result based on the computing task and the computing resources exposed by the at least one physical device; acquiring a network capability corresponding to the type of the network capability and the computing resource exposure result; and providing the network capability to the third-party device. Further, a network capability exposure device, a network capability exposure system and a non-transitory computer-readable storage medium are also disclosed.

Network capability exposure method and device thereof

Embodiments of the present disclosure disclose a method, an apparatus, and an electronic device for an absolute time synchronization, the method comprising: receiving, from a baseband processing chip, a first timing signaling and a first real system frame information of the received first timing signaling, the first timing signaling comprising a first absolute time corresponding to local time of a base station at time of transmission of the first timing signaling, and a first reference system frame information used by the base station for transmitting the first timing signaling; calculating a first time delay between the base station and the terminal based on at least the first absolute time, if the first real system frame information is consistent with the first reference system frame information; receiving, from the baseband processing chip, subsequent timing signalings and corresponding second real system frame information used by the base station for transmitting the subsequent timing signalings to the terminal, the subsequent timing signalings each comprising a second absolution time corresponding to the local time of the base station at time of transmission of the subsequent timing signaling and a second reference system frame information used by the base station for transmitting the subsequent timing signaling; for each of the subsequent timing signalings, determining a time delay adjustment value between the subsequent timing signaling and the first timing signaling based on at least the first time delay and the second absolute time, if the second real time system frame information is consistent with the second reference system frame information; and after a number of the received subsequent timing signalings reaches a target number, obtaining an absolute time information based on the time delay adjustment values corresponding to the target number of subsequent timing signaling; wherein the absolute time information is used to synchronize time of the terminal to time of the base station.

Methods, apparatus and electronic devices for absolute time synchronization

Embodiments of the present disclosure disclose a timing method and a device for a mobile network. The mobile network comprises: a master clock, a first network, a first network device, and a second network device. The first network device acquires timing information from the master clock through the first network, calibrates a second network device clock of the second network device according to the timing information, and calibrates a terminal clock of a terminal device according to the calibrated second network device clock.

Timing method for mobile network, device, and readable storage medium

The present disclosure discloses an intelligent monitoring system for an energy switch accessory device, comprising a smart device monitoring unit, a data processing unit, and a data storage unit. A wireless connection and a physical connection of a device are separately checked. Electrical information of a device is obtained through the physical connection. A device is categorized as an ordinary device if the wireless connection of with the device is disconnected while the physical connection with the device is maintained.

Intelligent monitoring system and method for energy switch accessory device

Embodiment of the present disclosure discloses a method and an apparatus for generating human pose images based on Wi-Fi signals. The method for generating human pose images based on Wi-Fi signals comprises: receiving Wi-Fi signals through one or more antennas; obtaining channel state information from the Wi-Fi signals; extracting channel state information components related to human pose changes from the channel state information; constructing a mapping model between the Wi-Fi signals and the human poses to map the channel state information components related to the human pose changes to a human pose image sequence.

Method and apparatus for generating human pose images based on Wi-Fi signals

A sensing recognition method and device based on wireless communication signals are disclosed. The method comprises the steps of obtaining channel state information from a received wireless communication signal; extracting a channel state feature value from the channel state information; and outputting a sensing result mapped with the channel state feature value according to the channel state feature value. The disclosed method and device can improve the accuracy of sensing recognition and achieve better recognition effect.

Sensing recognition method and device based on wireless communication signals

A method and an apparatus for deploying a network slice in a mobile communication system are disclosed. The method comprises the steps of mapping an underlying infrastructure network into an underlying network layer in a complex multilayer network model, and mapping a network slice into a network layer on the underlying network layer; and deploying the network slice based on the complex multilayer network model. In the process of deploying a network slice in a mobile communication system, the invention can accurately and flexibly manage the network resources and enhance the utilization of network resources, thereby avoiding the resource competition and ensuring the network communication quality.

Method and apparatus for network slice deployment in mobile communication system

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Beijing, China

Xiangming Wen