Tp-link Systems Inc.

Yaoshen Cui

Haozheng Li

Huiting Yang

The present disclosure provides a method for target sensing and a sensing controller performing the method. The method includes: scheduling a first sensing system with a first sensing configuration and a first group of sensing devices; receiving first information including first status information of a target; and in response to the first status information indicating that a status of the target meets a first predefined condition and/or that a traffic distribution of the plurality of sensing devices meeting a second predefined condition, scheduling a second sensing system with a second sensing configuration and a second group of sensing devices selected from the plurality of sensing devices, and receiving second information including second status information of the target, wherein the first group of sensing devices is different from the second group of sensing devices, and/or wherein the first sensing configuration is different from the second sensing configuration.

Method and apparatus for target sensing

The present disclosure provides a method, a node and a network device in the wireless network. A method for wireless communication at a node in a wireless network according to the embodiment of the present disclosure includes obtaining initial values of one or more parameters of a dynamic power control model; determining a first optimized result to the initial values of one or more parameters for minimizing a loss function, by using environment information of the node; transmitting first information indicating the first optimized result of the one or more parameters to a network device; receiving second information indicating a second optimized result of the one or more parameters for the dynamic power control model from the network device, wherein the second optimized result of the one or more parameters are determined by the network device based on the first information.

Method for wireless communication and a node in a wireless network

A method for CSI feedback and a computer-readable storage medium are provided. The method includes: predicting a first predicted CSI for a second time instant based at least on a first measured CSI for a first time instant; obtaining a second measured CSI for the second time instant; and determining a compression level for a third measured CSI for a third time instant after the second time instant based at least on comparison between the first predicted CSI and the second measured CSI. A most suitable compression level may be selected according to the real-time CSI prediction accuracy and/or the assistance of spatial parameters while overhead for CSI feedback may be reduced.

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Shenzhen, China

Yaoshen Cui