Systems, apparatuses, and methods are described for wireless communications. A base station may determine configuration parameters for a wireless device. The configuration parameters may be based on traffic pattern information received from the wireless device, such as a traffic periodicity, a timing offset, and/or a message size.

A communication apparatus includes an acquisition unit (551) acquiring information from a base station apparatus, a determination unit (552) determining whether a connected base station apparatus is a non-ground station or a ground station based on the acquired information, and a communication controller (553) executing communication control for the non-ground station when it is determined that the connected base station apparatus is the non-ground station.

Prioritizing resource allocation for relay nodes that have higher bandwidth capabilities, such as 5G EN-DC, versus other relay nodes that do not have such capabilities. The bandwidth capability can be based on a channel bandwidth allocation for different relay nodes, with the assumption that 5G or higher relay nodes will be able to utilize higher bandwidth channels.

A mobile communication system includes a control device and a base station device. Data communication between the control device and the base station device is conducted using a fixed-length data size and a variable-length data size. The control device transmits information indicating whether a data size of the data communication has a fixed length or a variable length. The base station device receives the information from the control device.

Systems, apparatuses, and methods are described for wireless communications. A base station may determine configuration parameters for a wireless device. The configuration parameters may be based on traffic pattern information received from the wireless device, such as a traffic periodicity, a timing offset, and/or a message size.

Systems, apparatuses, and methods are described for wireless communications. A base station may determine configuration parameters for a wireless device. The configuration parameters may be based on traffic pattern information received from the wireless device, such as a traffic periodicity, a timing offset, and/or a message size.

A method of requesting a relay resource, a scheduling method and a device are provided. The method of requesting a relay resource includes: sending a resource request message to a network device to which a relay device accesses; the resource request message carries at least one of following resource requirements information: backhaul resource requirement information of the relay device, and access link resource requirement information of the relay device.

A positioning system and a method based on neural network models are provided. The positioning method includes collecting WI-FI® fingerprint data; configuring a computing device to receive the WI-FI® fingerprint data, and the computing device includes a processor and a database storing positioning map data and a group of neural network models including a global positioning model, a coarse positioning model and a fine positioning model; configuring the processor to input the WI-FI® fingerprint data and perform the following steps: estimating a global coordinate through the global positioning model; obtaining the corresponding coarse positioning model from a corresponding primary sub-region to estimate an estimated coarse coordinate of a current position; estimating a plurality of estimated fine coordinates of the current position from the corresponding fine positioning model; and performing a merging process on the estimated fine coordinates to generate a final coordinate.

A positioning system and a method based on neural network models are provided. The positioning method includes collecting WI-FI® fingerprint data; configuring a computing device to receive the WI-FI® fingerprint data, and the computing device includes a processor and a database storing positioning map data and a group of neural network models including a global positioning model, a coarse positioning model and a fine positioning model; configuring the processor to input the WI-FI® fingerprint data and perform the following steps: estimating a global coordinate through the global positioning model; obtaining the corresponding coarse positioning model from a corresponding primary sub-region to estimate an estimated coarse coordinate of a current position; estimating a plurality of estimated fine coordinates of the current position from the corresponding fine positioning model; and performing a merging process on the estimated fine coordinates to generate a final coordinate.

The present technology is directed to visualizing a Wi-Fi access point (AP) signal propagation pattern through multiple floors. The present technology can execute a Wi-Fi signal propagation model corresponding to a first AP on a first floor of a building plan and a second AP on a second floor of the building plan. The Wi-Fi signal propagation model calculates a Wi-Fi signal propagation pattern for a plurality of APs including the first AP and the second AP. The present technology can further present a visualization of the Wi-Fi signal propagation pattern for the plurality of APs, wherein the Wi-Fi signal propagation pattern for the first AP on the first floor of the building plan projects onto the second floor of the building plan.