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Map-assisted Internet of Vehicles anti-interference communication method based on reinforcement learning

A communication method and reinforcement learning technology, applied in the fields of wireless communication, Internet of Vehicles and information security, can solve the problems of blocking the wireless communication of vehicle communication equipment and passenger mobile equipment, reducing the quality of service for communication users, and increasing the energy consumption of equipment communication. The effect of reducing communication energy consumption, improving message transmission reliability, reducing transmission power and bit error rate

Active Publication Date: 2022-07-29
XIAMEN UNIV
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Problems solved by technology

[0002] The communication equipment of the Internet of Vehicles moves fast, the network topology is changeable, and applications such as traffic safety put forward higher requirements for transmission delay and anti-interference ability, but the electromagnetic signals of jammers and surrounding wireless transmitters may block the vehicle communication equipment. Wireless communication with passenger mobile devices reduces the service quality of communication users, increases equipment communication energy consumption, and even leads to serious traffic safety accidents

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  • Map-assisted Internet of Vehicles anti-interference communication method based on reinforcement learning
  • Map-assisted Internet of Vehicles anti-interference communication method based on reinforcement learning
  • Map-assisted Internet of Vehicles anti-interference communication method based on reinforcement learning

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Embodiment Construction

[0030] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following embodiments will further illustrate the present invention with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0031] The embodiment of the present invention includes the following steps:

[0032] Step 1: The available transmission power and the number of channels of the wireless communication device of the Internet of Vehicles are N=5 and C=4, respectively, and the transmission power is recorded. optional channel X={[20, 0], [20, 1]...[100, 4]}.

[0033] Step 2: Construct neural network A and network B, respectively composed of 4 fully connected layers, and their initial network parameters ω 1 =ω 2 =0. The first fully connected layer consists of 6 neurons, the second and third fully connected layer...

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Abstract

The invention discloses a map-assisted Internet of Vehicles anti-interference communication method based on reinforcement learning, and belongs to the field of wireless communication, Internet of Vehicles and information security. The problem of high-reliability and safe communication of vehicle-mounted wireless equipment in an intelligent jammer attack environment is solved, information such as the current position and the vehicle density of a vehicle and the position and the size of a shielding object is obtained through a map, and the channel state between the vehicle and a receiving vehicle is estimated; receiving signal power and bit error rates of first M data packets are obtained from feedback information of a received vehicle, transmission power and channel selection of Internet of Vehicles wireless communication equipment are dynamically performed by adopting a reinforcement learning algorithm, wireless interference attacks are defended, and an attack model of a jammer does not need to be known. The message transmission reliability of the vehicle-mounted wireless communication equipment in a high dynamic environment is effectively improved, and the communication energy consumption of the wireless equipment is reduced.

Description

technical field [0001] The invention belongs to the fields of wireless communication, vehicle networking and information security, in particular to a map-assisted vehicle networking anti-jamming communication method based on reinforcement learning. Background technique [0002] The communication equipment of the Internet of Vehicles moves fast, the network topology is changeable, and applications such as traffic safety put forward higher requirements on the transmission delay and anti-interference ability, but the electromagnetic signals of the jammer and surrounding wireless transmitters may block the vehicle communication equipment. Wireless communication with passenger mobile devices reduces the quality of service for communication users, increases device communication energy consumption, and even leads to serious traffic safety accidents. Therefore, the anti-jamming communication method of the Internet of Vehicles is of great significance to ensure efficient and reliable...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/309H04B17/336H04B17/345H04B17/327H04W4/46
CPCH04B17/309H04B17/336H04B17/345H04B17/327H04W4/46Y02D30/70
Inventor 肖亮林志平颜晓豪唐余亮杨和林邱际光
Owner XIAMEN UNIV