A Bluetooth connection method and a related apparatus are disclosed, and relate to the field of short-range wireless communications technologies. A first electronic device establishes a BLE connection to a second electronic device, and exchanges data with the second electronic device based on a first connection interval. The first electronic device further establishes a BR/EDR connection to a third electronic device. When device class information of the second electronic device is the same as device class information prestored in a memory, the first electronic device exchanges data with the second electronic device based on a second connection interval. The second connection interval is greater than the first connection interval. In this way, a throughput speed of exchanging data by the third electronic device can be increased.

The present disclosure is directed generally to systems and methods for dynamically selecting a retransmission rate for communication between two devices. The retransmission rate may be selected after a transmission has failed between the devices. In some embodiments, the retransmission rate may be selected based on relative velocity of the devices. In some embodiments, the retransmission rate may be selected based on transmission channel characteristics. The retransmission rate may be selected such that the retransmission will be less than an allowable transmission rate based on a distance between the two devices.

The present invention discloses a wireless perception system energy and information transmission method of an unmanned aerial vehicle (UAV) swarm, comprising: building a wireless perception system architecture based on multi-UAV energy supply, wherein the system comprises a plurality of wireless powered sensors and a UAV swarm, and each sensor establishes connection with a UAV based on random access to realize network construction; designing energy and information transmission protocols in the swarm and between the swarm and the sensors, designing a joint optimization algorithm and solving optimal system configuration to obtain optimal transmission strategies. The present invention firstly proposes a joint optimization method of multi-network power allocation, time slot design and beam forming under the condition of multi-UAV autonomous collaborative energy supply, and also provides an efficient and reliable communication means for autonomous cooperative control of the UAV swarm.

A distance measurement method of user equipment in a wireless communication system is provided. The method comprises receiving a plurality of ranging request signals and transmitting a plurality of ranging response signals for the plurality of ranging request signals, wherein the number of transmitted ranging response signals is less than or equal to a maximum response signal number, and the maximum response signal number is determined on the basis of a channel busy ratio (CBR) measured by the terminal.

The present invention provides a method and system for managing the connections of multiple stations in a Wi-Fi mesh network, using station steering to optimize the overall throughput of the network.

The stations are proactively steered depending on the link quality, the network topology and wireless medium occupation, as well as the different equipment capabilities, to ultimately provide the best available throughput.

This invention also aims to detect crowded Access Points or frequency bands, and steer stations accordingly towards an efficient load control and traffic management between nodes/Access Points and improved quality of experience.

A control device communicates with a mobile station installed in a train, existing in a base station zone as a reception area of a signal transmitted from a base station and traveling on a railroad, via the base station. The control device includes an acquisition unit that acquires branch information indicating that a branch point on the railroad exists in the base station zone and information indicating base stations existing one base station ahead of the base station and a control unit that transmits the same voice signal to the base station and the base stations when existence of the branch point in the base station zone is detected based on the branch information.

A method for using legacy Wi-Fi and Wi-Fi Peer-to-Peer (P2P) simultaneously is provided. The method includes entering a device discovery process of Wi-Fi P2P, if use of a Wi-Fi P2P function is requested while using a legacy Wi-Fi function, acquiring a Group Owner (GO) right of Wi-Fi P2P in the device discovery process, performing a listen state over the same channel as a channel where the legacy Wi-Fi function is in use, through the acquisition of the GO right, and performing a search state over a social channel of Wi-Fi P2P, and repeating the listen state and the search state until the device discovery process is ended.

Method and computing device for inferring an optimal wireless data transfer rate using a neural network. The method comprises storing a predictive model generated by a neural network training engine in a memory of a computing device. The method comprises determining, by a processing unit of the computing device, parameters of a data transfer through a wireless communication interface of the computing device. The method comprises executing, by the processing unit, a neural network inference engine using the predictive model for inferring an optimal data transfer rate based on the parameters of the data transfer through the wireless communication interface. The method comprises configuring the wireless communication interface to operate at the optimal data transfer rate. For example, the computing device consists of an environment control device (ECD). The ECD may consist of an environment controller, a sensor, a controlled appliance, and a relay.

Systems and methods for controlling congestion of a data network are provided. An engine round-trip time (RTT) and a fabric RTT for a network flow are determined. An engine-based congestion window size for the flow is determined based on the engine RTT and a target engine RTT. A fabric-based congestion window size for the flow is determined based on the fabric RTT and a target fabric RTT. The smaller of the engine-based congestion window size and the fabric-based window size is selected for use in transmitting a future packet associated with the flow. The target engine RTT is determined based in part on the current congestion window used to transmit packets for the flow and/or the target fabric RTT is determined based on a number of hops packets associated with the flow traverse from a source to a destination associated with the flow.

A method, implemented in a cloud-based system, includes, responsive to a client device having a Subscriber Identity Module (SIM) card therein connecting to a mobile network from a mobile network operator, receiving authentication of the client device based on the SIM card; receiving forwarded traffic from the client device; and processing the forwarded traffic according to policy, wherein the policy is determined based on one of a user of the client device and a type of the client device, each being determined based on the SIM card.