scholarly journals Interference Analysis for Vehicle-to-Vehicle Communications at 28 GHz

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 262 ◽  
Author(s):  
Omar A. Saraereh ◽  
Ashraf Ali ◽  
Imran Khan ◽  
Khaled Rabie
Keyword(s):  
Communication Networks ◽  
Large Scale ◽  
Vehicular Networks ◽  
High Capacity ◽  
Ergodic Capacity ◽  
Vehicular Communication ◽  
Interference Analysis ◽  
Vehicular Communication Networks ◽  
On The Road ◽  
The Impact

High capacity and ultra-reliable vehicular communication are going to be important aspects of beyond 5G communication networks. However, the vehicular communication problem becomes complex at a large scale when vehicles are roaming on the road, while simultaneously communicating with each other. Moreover, at higher frequencies (like 28 GHz), the dynamics of vehicular communication completely shift towards unpredictability and low-reliability. These factors may result in high packet error and a large amount of interference, resulting in regular disruptions in communications. A thorough understanding of performance variations is the key to moving towards the next generation of vehicular networks. With this intent, this article aims to provide a comprehensive interference analysis, wherein the closed-form expressions of packet error probability (PEP) and ergodic capacity are derived. Using the expression of the PEP, diversity analysis is provided which unveils the impact of channel nonlinearities on the performance of interference-constrained vehicular networks. The insights provided here are expected to pave the way for reliable and high capacity vehicular communication networks.

The Role of Roadside Assistance in Vehicular Communication Networks

2012 ◽  
pp. 1-37 ◽  
Author(s):  
George Kadas ◽  
Periklis Chatzimisios
Keyword(s):  
Communication Networks ◽  
Mobile Communications ◽  
Vehicular Networks ◽  
Efficient Solutions ◽  
Node Mobility ◽  
Vehicular Communication ◽  
Communications Networks ◽  
Vehicle To Infrastructure ◽  
Vehicular Communication Networks ◽  
Basic Characteristics

Vehicular Communication Networks is a subcategory of Mobile Communications Networks that has the special characteristics of high node mobility and fast topology changes. In the current chapter, the authors outline the basic characteristics and concepts of vehicular communications and present the standardization and network deployment efforts carried out by the scientific community. In particular, they focus their attention on the vehicle-to-infrastructure component of the network; moreover, the authors specifically investigate security, quality of service, and routing, which constitute three of the most challenging aspects in the field of Vehicular Networks. The authors further examine the ways that infrastructure can provide efficient solutions to the problems that exist for each respective category and review several proposed solutions.

scholarly journals Effective Capacity Maximization in beyond 5G Vehicular Networks: A Hybrid Deep Transfer Learning Method

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yi Huang ◽  
Xinqiang Ma ◽  
Youyuan Liu ◽  
Zhigang Yang
Keyword(s):  
Transfer Learning ◽  
Communication Networks ◽  
Vehicular Networks ◽  
Throughput Maximization ◽  
Effective Capacity ◽  
Maximization Problem ◽  
Vehicular Communication ◽  
Delay Guarantee ◽  
Learning Scheme ◽  
Vehicular Communication Networks

How to improve delay-sensitive traffic throughput is an open issue in vehicular communication networks, where a great number of vehicle to infrastructure (V2I) and vehicle to vehicle (V2V) links coexist. To address this issue, this paper proposes to employ a hybrid deep transfer learning scheme to allocate radio resources. Specifically, the traffic throughput maximization problem is first formulated by considering interchannel interference and statistical delay guarantee. The effective capacity theory is then applied to develop a power allocation scheme on each channel reused by a V2I and a V2V link. Thereafter, a deep transfer learning scheme is proposed to obtain the optimal channel assignment for each V2I and V2V link. Simulation results validate that the proposed scheme provides a close performance guarantee compared to a globally optimal scheme. Besides, the proposed scheme can guarantee lower delay violation probability than the schemes aiming to maximize the channel capacity.

scholarly journals Securing Vehicle Communication Systems by the KLJN Key Exchange Protocol

2014 ◽  
Vol 13 (03) ◽  
pp. 1450020 ◽  
Author(s):  
Y. Saez ◽  
X. Cao ◽  
L. B. Kish ◽  
G. Pesti
Keyword(s):  
Communication Networks ◽  
Communication Systems ◽  
Security Requirements ◽  
Communication Security ◽  
Vehicular Communication ◽  
Johnson Noise ◽  
Key Exchange Protocol ◽  
Communication Architecture ◽  
Vehicle Communication ◽  
Vehicular Communication Networks

We review the security requirements for vehicular communication networks and provide a critical assessment of some typical communication security solutions. We also propose a novel unconditionally secure vehicular communication architecture that utilizes the Kirchhoff-law–Johnson-noise (KLJN) key distribution scheme.

scholarly journals Analysis of the impact of map-matching on the accuracy of propagation models

2007 ◽  
Vol 5 ◽  
pp. 367-372 ◽  
Author(s):  
M. Neuland ◽  
T. Kürner
Keyword(s):  
Communication Networks ◽  
Measurement Data ◽  
Path Loss ◽  
Map Matching ◽  
Sampling Errors ◽  
Propagation Models ◽  
The Road ◽  
On The Road ◽  
Gps Accuracy ◽  
The Impact

Abstract. Propagation models are very important for the development and deployment of wireless communication networks. They are able to predict the path loss for different propagation conditions, but cannot include all propagation phenomena in detail. This fact leads to variations between predicted and measured field strengths. These variations can be reduced by calibrating some parameters of the propagation models with the help of exact measurement data. However, two problems occur when applying measurement data. On the one hand, the maps used for the prediction have only a limited resolution. On the other hand, the GPS data are erroneous due to the limited GPS accuracy and due to sampling errors. These errors can lead to variations up to 200 m between the measured positions and the possible positions on the road network. Therefore, a map-matching algorithm has to be applied which projects the wrong GPS positions automatically onto the street vectors used for the predictions. Thus, a good basis of data for calibration can be created.

Power Control in D2D-Based Vehicular Communication Networks

2015 ◽  
Vol 64 (12) ◽  
pp. 5547-5562 ◽  
Author(s):  
Yi Ren ◽  
Fuqiang Liu ◽  
Zhi Liu ◽  
Chao Wang ◽  
Yusheng Ji
Keyword(s):  
Power Control ◽  
Communication Networks ◽  
Vehicular Communication ◽  
Vehicular Communication Networks
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