A Semi-Empirical Performance Study of Two-Hop DSRC Message Relaying at Road Intersections

Nguyen, Hieu Duy; Noor-A-Rahim, Md.; Liu, Zilong; Jamaludin, Dayana; Guan, Yong Liang

doi:10.3390/info9060147

Cited by 22 publications

(16 citation statements)

References 18 publications

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“…In [15] authors focused on a vehicle-to-vehicle communication system operating at a road intersection, where the communication links can be either line-of-sight (LOS) or non-line-of-sight (NLOS). Authors presented a semi-empirical analysis of the packet delivery ratio of dedicated short-range communication (DSRC) safety messages for both LOS and NLOS scenarios using a commercial transceiver.…”

Section: Related Workmentioning

confidence: 99%

Distributed Edge Computing to Assist Ultra Low Latency VANET Applications

Vladyko¹,

Khakimov²,

Muthanna³

et al. 2018

Preprint

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VANET networks are a class of peer-to-peer wireless networks that are used to organize communication between cars (V2V), cars and infrastructure (V2I) and between cars and other types of nodes (V2X). These networks are based on the DSRC, 802.11 standards and are mainly intended for organizing the exchange of various types of messages, mainly emergency ones, to prevent road accidents or alert when road accident occur, or control the priority of the driveway. Initially it was assumed that cars would only interact with each other, but later, with the advent of the concept of Internet of things (IoT). Researchers began to analyze connectivity with other devices, which in general will allow to combine various road users and other devices that can used in the creation of intelligent transport infrastructure in a single smart city management system. Infrastructure is necessary for the provision of services, monitoring and management of the VANET network. As infrastructure objects it is proposed to use stationary objects of Roadside unit (RSU). The aim of this paper is to analyze the use of mobile edge computing to decrease the load to the base station and latency between RSU clouds and provide a real experiment using software defined networking and mobile edge computing for RSU.

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Section: Related Workmentioning

confidence: 99%

Distributed Edge Computing to Assist Ultra Low Latency VANET Applications

Vladyko¹,

Khakimov²,

Muthanna³

et al. 2018

Preprint

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show abstract

“…Lane change systems have been studied for a long time in the research on autonomous driving [1,2], as well as vehicular communication [3][4][5][6]. Lane change systems are continuously drawing attention from academia and industry and several solutions have been proposed to solve this challenging problem.…”

Section: Introductionmentioning

confidence: 99%

Decision-Making System for Lane Change Using Deep Reinforcement Learning in Connected and Automated Driving

Jung

2019

Electronics

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Lane changing systems have consistently received attention in the fields of vehicular communication and autonomous vehicles. In this paper, we propose a lane change system that combines deep reinforcement learning and vehicular communication. A host vehicle, trying to change lanes, receives the state information of the host vehicle and a remote vehicle that are both equipped with vehicular communication devices. A deep deterministic policy gradient learning algorithm in the host vehicle determines the high-level action of the host vehicle from the state information. The proposed system learns straight-line driving and collision avoidance actions without vehicle dynamics knowledge. Finally, we consider the update period for the state information from the host and remote vehicles.

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“…LTE-V2V was developed on the basis of cellular technology and helps a vehicle to communicate with different types of devices, such as pedestrians with a mobile phone, the infrastructure/network, and other vehicles. It focuses deeply on V2V communication to exchange short messages that are used in safety-related applications [5].…”

Section: Introductionmentioning

confidence: 99%

The Leaky Feeder, a Reliable Medium for Vehicle to Infrastructure Communications

Farahneh

Fernando

2019

ASI

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Reliable vehicular communications is fast becoming a necessity. Vehicle to infrastructure (V2I) communication, which is critical for safety, is often interrupted when vehicles travel in tunnels. Leaky Feeder (LF) or radiating cable have been the primary solution to provide wireless access in tunnels and mines, but being overlooked until now. The LF is a natural multi antenna transceiver ideal for broadband short rage access. In this work, we model the LF as a linear antenna array and derive the average bit error rate (BER) in Rayleigh fading channel considering Quadrature Phase Shift Keying (QPSK) and M-Array Quadrature Amplitude (M-QAM) Modulations. We consider maximal ratio transmission (MRT) at the transmission end and coherent detection and maximal ratio combining (MRC) at the receiving end. Analytical expressions are derived for the BER. The effects of slot spacing and carrier frequency on the BER are also studied. Numerical evaluations show that the LF is a strong candidate for tunnels with much lower BER than a single antenna transmitter with the same SNR.

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A Semi-Empirical Performance Study of Two-Hop DSRC Message Relaying at Road Intersections

Cited by 22 publications

References 18 publications

Distributed Edge Computing to Assist Ultra Low Latency VANET Applications

Distributed Edge Computing to Assist Ultra Low Latency VANET Applications

Decision-Making System for Lane Change Using Deep Reinforcement Learning in Connected and Automated Driving

The Leaky Feeder, a Reliable Medium for Vehicle to Infrastructure Communications

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