Vehicular communication channel measurement, modelling, and application for beyond 5G and 6G

Cheng, Xiang; Huang, Ziwei; Chen, Shanzhi

doi:10.1049/iet-com.2020.0531

Cited by 77 publications

(36 citation statements)

References 42 publications

(59 reference statements)

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“…where W s is the transmit power of pilot signal, ‖h n K ‖ is the channel frequency response of the n-th subcarrier calculated from the channel estimation value in (3), and 𝜎 2 z is the variance of noise ẑv in (2). (b) The information bit error rate (IBER) represents the rate of bit error due to the fading of each sub-channel when transmitting information.…”

Section: Evaluation Metricsmentioning

confidence: 99%

“…With the increasing progress of wireless communication technology, mobile communication has been integrated into society. In particular, the emergence of 5G promotes the rapid development of the Internet of Things (IoT) [1][2][3][4]. Though the IoT achieves information interconnection, it also transmits much private information through the network making it essential to protect the security of private information [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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Efficient and secure communication scheme for OFDM system based on physical layer non‐reconciled keys

et al. 2022

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The secure communication scheme based on physical layer non-reconciled keys receives extensive attention due to its high encryption rate. However, the mismatched secret bit sequences between the two users leads to higher BER and lower coding efficiency for this type of scheme. To solve this problem, this paper proposes an efficient and secure communication scheme for OFDM system with non-reconciled keys. Initially, an adaptive coding method is designed to encode information blocks with different code rates to improve the overall efficiency. Then, on this basis, a sorting xor encryption algorithm is designed to reduce the bit error rate by sorting the channel estimation value and mapping them to corresponding sub-channels. Theoretical analysis and simulation results indicate that this scheme can effectively reduce the bit error rate and improve the efficiency of information coding compared to the existing method.

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Section: Evaluation Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficient and secure communication scheme for OFDM system based on physical layer non‐reconciled keys

et al. 2022

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“…The data buyer to RSU communication is referred to as B2R, and it can also be connected by wired connection. The mobile vehicle to RSU communication is referred to as V2R, which is completed by satellite, wireless communication network, 4G/5G or other technologies [13,14]. Moving vehicles covered within a network area are called data sellers.…”

Section: System Modelmentioning

confidence: 99%

Efficient Mobile Vehicle Data Sharing Scheme Based on Consortium Blockchain

Tian

Yang

et al. 2022

Applied Sciences

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Efficient data sharing schemes are one of the key technologies in the Internet of Vehicles (IoV). However, the insufficient willingness of vehicle users to provide data makes the traditional blockchain-based IoV network have low throughput. The income of IoV providers decreases when the vehicle density increases on the road. In this paper, we investigated a mobile vehicle data sharing scheme based on the consortium blockchain. In detail, the consortium blockchain was used to limit the degree of decentralization and openness, and the optimal revenue strategy approach between vehicles and data-demand devices was obtained through the Stackelberg game. The load test library based on Node.js was used to simulate and compare the data transmission performance of the proposed consortium blockchain with traditional blockchain schemes. Simulation results show that the proposed scheme had higher buyer’s revenue, and the block transmission performance was significantly higher than that of traditional blockchain schemes.

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“…where Σ is the covariance matrix of the sensor data points, the estimated value of the covariance matrix in the Gaussian distribution. Substituting Equations ( 9) and ( 8) into (7), we can obtain the probability density distribution of the occupied area of the target object, which is the occupancy probability distribution, as:…”

Section: Occupancy Probability Distribution Algorithmmentioning

confidence: 99%

“…At the same time, the complex traffic environment and extreme weather have brought many challenges to vehicle driving. Vehicular networks [4][5][6][7] support information sharing among different vehicles and hence enable the fusion of data from multiple sensors and multiple vehicles in sensing. Multi-sensor fusion can significantly improve the redundancy and fault tolerance of the system, and the integration of data from multiple vehicles from different perspectives could further improve the accuracy and range of perception (see, e.g.…”

Section: Introductionmentioning

confidence: 99%

Multi‐vehicle multi‐sensor occupancy grid map fusion in vehicular networks

Duan

Feng

2021

IET Communications

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Sensing is an essential part in autonomous driving and intelligent transportation systems. It enables the vehicle to better understand itself and its surrounding environment. Vehicular networks support information sharing among different vehicles and hence enable the multi-vehicle multi-sensor cooperative sensing, which can greatly improve the sensing performance. However, there are a couple of issues to be addressed. First, the multi-sensor data fusion needs to deal with heterogeneous data formats. Second, the cooperative sensing process needs to deal with low data quality and perception blind spots for some vehicles. In order to solve the above problems, in this paper the occupancy grid map is adopted to facilitate the fusion of multi-vehicle and multi-sensor data. The dynamic target detection frame and pixel information of the camera data are mapped to the static environment of the LiDAR point cloud, and the space-based occupancy probability distribution kernel density estimation characterization fusion data is designed , and the occupancy grid map based on the probability level and the spatial level is generated. Real-world experiments show that the proposed fusion framework is better compatible with the data information of different sensors and expands the sensing range by involving the collaborations among multiple vehicles in vehicular networks.

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Vehicular communication channel measurement, modelling, and application for beyond 5G and 6G

Cited by 77 publications

References 42 publications

Efficient and secure communication scheme for OFDM system based on physical layer non‐reconciled keys

Efficient and secure communication scheme for OFDM system based on physical layer non‐reconciled keys

Efficient Mobile Vehicle Data Sharing Scheme Based on Consortium Blockchain

Multi‐vehicle multi‐sensor occupancy grid map fusion in vehicular networks

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