The invention discloses a beam control optimization method for a multi-unmanned aerial vehicle millimeter wave network based on reinforcement learning and an average field game, and solves the problemthat beams are difficult to align in an ultra-dense network, thereby improving the sum rate of the system. The beam control optimization method for the multi-unmanned aerial vehicle millimeter wave network comprises the following steps: step 1, constructing a system model, namely, the system model is a multi-unmanned aerial vehicle multi-antenna millimeter wave communication system and is represented by {1, 2,..., M}, and unmanned aerial vehicles share the same channel at the same time to perform downlink data transmission; step 2, establishing a cost function: listing a stochastic differential equation according to the deviation degree of the wave beam; representing a cost function according to the interference on the user, and giving HJB and FPK equations in an average field game; and step 3, obtaining an equilibrium solution of the average field game by using a reinforcement learning method.

Beam control optimization method of multi-unmanned aerial vehicle millimeter wave network

The invention relates to an unmanned aerial vehicle communication safety control method, a device, electronic equipment and a storage medium. The method comprises the steps of determining a first non-convex problem model based on a flight path limiting condition, a transmitting power limiting condition, a legal user position and an illegal user position of an unmanned aerial vehicle; converting the first non-convex problem model into a second non-convex problem model according to the worst average secrecy rate function; determining a power sub-problem model based on the current flight path anda flight path sub-problem model based on the current transmitting power based on the second non-convex problem model; and determining the target transmitting power and the target flight path of the unmanned aerial vehicle based on the power sub-problem model and the flight path sub-problem model. According to the method, the uncertainty of the user position in the unmanned aerial vehicle secret communication system is considered. The maximum average secret rate of the legal user under the worst condition is obtained by optimizing the flight path and the transmitting power of the unmanned aerial vehicle within the given flight time, so that the safe transmission of information can be effectively guaranteed.

Unmanned aerial vehicle communication safety control method, device, electronic equipment and storage medium

The embodiment of the invention provides an untrusted bidirectional relay multi-antenna cooperative communication method and device, and the method comprises the steps: obtaining a received signal which is a signal received by a cooperative relay when a first node sends first information to the cooperative relay and a second node sends second information to the cooperative relay; calculating an optimal solution of an optimization problem model constructed according to the received signal so as to obtain an optimal solution of the relay parameter; and obtaining a sending signal according to theoptimal solution of the relay parameter, and sending the sending signal to the first node and the second node respectively. The embodiment of the invention provides an untrusted bidirectional relay multi-antenna cooperative communication method and device. By constructing the optimization problem model and obtaining the optimal solution of the relay parameters, the untrusted bidirectional relay multi-antenna cooperative communication is realized, the communication performance of the untrusted relay cooperation is improved in a multi-antenna scene, the information is protected from being leaked, and the simultaneous transmission of the wireless information and the energy is supported.

Untrusted bidirectional relay multi-antenna cooperative communication method and device

An embodiment of the invention provides a star-sky-ground cooperative ocean communication network capacity optimization method and device. The method comprises the following steps of constructing an optimization problem model based on a large-scale fading channel between a shore-based base station of each offshore cell, an unmanned aerial vehicle and an offshore terminal, and a large-scale fadingchannel between a shore-based base station of each offshore cell, the unmanned aerial vehicle and the offshore terminal on the premise of ensuring that interference borne by the offshore terminal is smaller than a preset value, wherein the optimization problem model aims to maximize the total rate of all offshore cells; calculating an optimal solution of the optimization problem model, and determining the transmitting power of the base station of each offshore cell according to the optimal solution. According to the star-sky-ground cooperative ocean communication network capacity optimizationmethod and device provided by the embodiment of the invention, under a sea area communication scene, the interference to ocean satellite users is controlled by optimally allocating the power of the offshore cell unmanned aerial vehicle and the shore-based base station, the transmission rate of the offshore cell is maximized, and the performance of a star-sky-ground cooperative network is improved.

Star-sky-ground cooperative ocean communication network capacity optimization method and device

An embodiment of the invention provides an on-demand coverage method and device for a star-sky-ground cooperative ocean communication network. The method comprises the following steps: constructing anoptimization model based on a large-scale fading channel between each offshore cell shore-based base station, an unmanned aerial vehicle and an offshore terminal, and a large-scale fading channel between each offshore cell shore-based base station, the unmanned aerial vehicle and an offshore terminal on the premise of ensuring that the interference borne by the offshore terminal is less than a preset value, wherein the optimization target is to maximize the minimum rate of all offshore terminals. And the optimization model can be used to determine the transmitting power of the base stations and the unmanned aerial vehicles of all offshore cells. The embodiment of the invention provides the on-demand coverage method and device for the star-sky-ground cooperative ocean communication network. In a sea area communication scene, by optimally allocating the power of a shore-based base station and an unmanned aerial vehicle of the offshore cell, the minimum rate of a communication link is maximized, fair communication resource access is ensured for offshore users, and the signal coverage of the offshore cell is ensured on the basis of meeting satellite network interference limiting conditions.

On-demand coverage method and device for star-sky-ground cooperative ocean communication network

The invention provides a satellite-air-ground coordinated IoT communication method and device. The method comprises that in one operation period of a dynamic relay, an optimization problem model is constructed based on obtained spatial position information of each IoT terminal, spatial position information of the dynamic relay and operation parameters of the dynamic relay; and an optimal solutionof the optimization problem model is calculated, and communication between each IoT terminal and the dynamic relay is realized according to the optimal solution. According to the method and device, the optimization problem model is constructed, the optimal solution of the optimization problem model is calculated, the emission power of each IoT terminal, the operation height of the dynamic relay and scheduling information of each IoT terminal in each time slot are obtained, communication between each IoT terminal and the dynamic relay is realized, the throughput of the IoT terminals is improved, communication time delay and cost of the network are reduced, and the network operation cost is reduced.

Satellite-air-ground coordinated IoT (Internet of Things) communication method and device

The embodiment of the invention provides an unmanned aerial vehicle formation network security communication method and system. The method comprises the steps of based on the channel information between an unmanned aerial vehicle group and a plurality of terminals and a transmitting power set of the unmanned aerial vehicle group, acquiring the confidentiality and the rate of the unmanned aerial vehicle group; and adjusting the transmitting power set to maximize the confidentiality and the rate, and taking the transmitting power set when the confidentiality and the rate are maximum as a targettransmitting power set of the unmanned aerial vehicle group, so that the unmanned aerial vehicle group communicates with the plurality of authorization terminals according to the target transmitting power set. According to the method and the system provided by the embodiment of the invention, the target transmitting power set is obtained by adjusting the transmitting power set to maximize the confidentiality and the rate, so that the unmanned aerial vehicle group communicates with the plurality of authorization terminals according to the target transmitting power set, the safety of the information transmission is ensured, and the safety of the unmanned aerial vehicle formation network communication is improved.

Unmanned aerial vehicle formation network security communication method and system

The embodiment of the invention provides an active interference-based unmanned aerial vehicle formation network security communication method and system. The method comprises the steps that based on large-scale channel information and small-scale channel information between an unmanned aerial vehicle group and a plurality of terminals, and a first transmitting power set and a second transmitting power set of the unmanned aerial vehicle group, acquiring the traversal confidentiality and rate of the unmanned aerial vehicle group; and adjusting the first transmitting power set and the second transmitting power set to maximize traversal confidentiality and rate, so that the unmanned aerial vehicle group transmits confidential signals and interference signals to a plurality of authorization terminals according to the first transmitting power set and the second transmitting power set when the traversal confidentiality and rate are maximum. A communication and interference cooperation mode isadopted, so that the decoding performance of the unauthorized terminal is reduced. The traversal confidentiality and rate are maximized, the transmitting power of confidential signals and the transmitting power of interference signals are balanced, the influence on the receiving performance of the authorization terminal is reduced, and the security of unmanned aerial vehicle formation network communication is guaranteed.

Ge Ning

Papers

Satellite-air-ground coordinated IoT (Internet of Things) communication method and device

Unmanned aerial vehicle formation network security communication method and system

Active interference-based unmanned aerial vehicle formation network security communication method and system