7 results about "Vertical handover" patented technology

Disclosed in the present invention is a vertical handover method for a sky-air-ground integrated cyber-physical system. The method comprises: a base station acquiring state spaces sent by mobile devices; in the base station, using a constrained proximal policy optimization algorithm to obtain gradient values of vertical handover policy networks and gradient values of value networks, and sending the gradient values to a central learner; determining in the central learner a first average gradient value and a second average gradient value, determining updated parameters of the vertical handover policy networks and updated parameters of the value networks, and sending the updated parameters to the mobile devices; and in the mobile devices, when the cumulative value of all reward values is greater than or equal to a target value and the cumulative value of the reward values is stable, enabling finally obtained updated vertical handover policy networks to output final policies. The vertical handover method for a sky-air-ground integrated cyber-physical system provided in the present invention can be directly used for the vertical handover of a sky-air-ground integrated cyber-physical system.

The application provides a low-altitude airborne terminal heterogeneous network vertical handover method and system, the method comprises the following steps: constructing and dynamically updating a three-dimensional network coverage information library; predicting the future route of the airborne terminal based on its real-time motion state, and obtaining a candidate network set from the three-dimensional network coverage information library according to the prediction result; generating a handover decision weight for each network in the candidate network set based on a preset evaluation model; determining whether to trigger vertical handover through fuzzy logic decision based on the handover decision weight, the current network state and the operating parameters of the airborne terminal; if the vertical handover is triggered, performing a vertical handover operation based on the candidate network set and the handover decision weight. The application is based on the pre-collected network deployment information, combined with the actual flight information for vertical handover, the switching execution logic is simple and efficient, which can effectively avoid the communication interruption problem caused by switching failure or frequent switching, and significantly reduce the power consumption in the communication process.

The invention relates to the technical field of remote education, and discloses a remote region remote education heterogeneous network vertical switching method, system and device and a medium. The method comprises the following steps: acquiring a current teaching service type and a network type of a user terminal; according to a membership function of the fuzzy logic system, through the current teaching service type and a plurality of different network performance indexes of the current teaching service type under each network type, determining the membership of each network performance index of the current teaching service type under each network type; performing weighted summation on the membership degree of each network performance index under each network type to obtain a service quality score of the current teaching service type under each network type; based on a Q learning algorithm, according to the service quality score of the current teaching service type under each network type, a switching strategy of the current network type is determined, and a reward function of the switching strategy is constructed according to the change of the service quality score after the action is executed and the cost of executing the action.

The application discloses a rate analysis method of an intelligent metasurface system based on random geometry distribution, and comprises the following steps: constructing an initial optimization problem, in which a robustness problem of a distributed intelligent metasurface system under the influence of an initial mobile user is constructed; a receiver receives superimposed signals from multiple reflection links, and a determination formula of an initial reachable rate of the system is given; and the determination formula is further converted into an upper limit solution according to the Jesse inequality and a probability density function; the time intensity of vertical switching and beam selection caused by user movement is obtained; the total time overhead is further obtained; and an expression of a final area traversal reachable rate is obtained. The application is applied to an actual random distribution intelligent metasurface assisted communication system, an expression of an area spectrum rate limit is given, and the system performance can be effectively evaluated.

A vehicle communication system for performing vertical handover (VHO), comprising a communication transceiver comprising a plurality of access points configured to receive and transmit wireless signals via different networks, and a processor operatively connected to the communication transceiver, the processor configured to implement a first VHO signaling process to control the communication transceiver to gather network information from the different networks, execute a VHO decision-making algorithm to determine, based on the gathered network information, one or more of the different networks through which to transmit messages via one or more of the plurality of access points, the VHO decision-making algorithm comprising executing a reinforcement learning algorithm that adjusts VHO policy based on message reception success rate and message transmission cost, and implement a second VHO signaling process to control the communication transceiver to execute the VHO to the determined one or more of the different networks.

This disclosure provides a method for adaptive vertical handover in heterogeneous wireless networks, a terminal device, and a computer-readable storage medium. The method includes: acquiring a time series of the received signal strength of a first network; obtaining a predicted value of the received signal strength based on the time series; obtaining a prediction error based on the measured value of the received signal strength and the predicted value of the received signal strength, and obtaining a link fluctuation index based on the prediction error at multiple times; calculating a threshold shift amount based on the link fluctuation index, and synchronously shifting the reference handover threshold and reference handover back threshold of the first network by the threshold shift amount to generate a dynamic handover threshold and a dynamic handover back threshold; and when the terminal is currently connected to the first network, switching from the first network to a second network in response to the predicted value of the received signal strength being less than the dynamic handover threshold; and when the terminal is currently connected to the second network, switching from the second network to the first network in response to the measured value of the current received signal strength of the first network being greater than or equal to the dynamic handover back threshold.

A vehicle communication system for performing vertical handover (VHO), comprising a communication transceiver comprising a plurality of access points configured to receive and transmit wireless signals via different networks, and a processor operatively connected to the communication transceiver, the processor configured to implement a first VHO signaling process to control the communication transceiver to gather network information from the different networks, execute a VHO decision-making algorithm to determine, based on the gathered network information, one or more of the different networks through which to transmit messages via one or more of the plurality of access points, the VHO decision-making algorithm comprising executing a reinforcement learning algorithm that adjusts VHO policy based on message reception success rate and message transmission cost, and implement a second VHO signaling process to control the communication transceiver to execute the VHO to the determined one or more of the different networks.