Feasibility study of utilising SCM – MIMO channel model in V2V communication

Al-Khalil, Ahmad Baheej; Turner, Scott J; Al-Sherbaz, Ali

doi:10.1109/nets4carsfall.2014.7000908

Cited by 6 publications

(10 citation statements)

References 13 publications

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“…As shown in table 1, as a vehicle is traveling at slow speed 20km\h the results for the 16-QAM modulation are 29, 34, and 38. These results are considered consistent according to the disruption levels low, medium and high, while comparing with our previous work in [19] the obtained result were 37, 34 and 37 with the same environment settings which are inconsistent. The results in table 1 indicate that the performance of the PHY in V2V communication improves considerably and the simulation results seems to be consistent when the V-BLAST coding is used.…”

Section: Simulation Results and Discussionsupporting

confidence: 85%

Utilising SCM – MIMO Channel Model Based on V-BLAST Channel Coding in V2V Communication

Al-Khalil

Turner

Al-Sherbaz

2015

Lecture Notes in Computer Science

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Abstract. Vehicular ad hoc networks VANETs has recently received significant attention in intelligent transport systems (ITS) research. It provides the driver with information regarding traffic and road conditions which is needed to reduce accidents, which will save many people's lives. In Vehicle-to-vehicle V2V communication the high-speed mobility of the nodes is the challenge, which significantly affects the reliability of communication. In this paper the utilising of SCM-MIMO channel model, (which is based on V-BLAST channel coding) is present to evaluate the performance of the PHY layer in V2V communication. The simulation results observed that the SCM model can overcome the propagation issues such as path loss, multipath fading and shadowing loss. The simulation considered three different environments, high, medium and low disruptions in urban traffic.

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Section: Simulation Results and Discussionsupporting

confidence: 85%

Utilising SCM – MIMO Channel Model Based on V-BLAST Channel Coding in V2V Communication

Al-Khalil

Turner

Al-Sherbaz

2015

Lecture Notes in Computer Science

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“…Roadside buildings and onroad obstacles create a lot of reflection making this propagation model not suitable for Rayleigh/AWNG channel model [3]. The proposed V2V channel model is an extension of SCM in roadside scattering environment.…”

Section: The Proposed Scm V2v Channel Modelmentioning

confidence: 99%

“…As a new emerging communication system, V2V communication is regarded as one basic type of communications in vehicular ad hoc networks (VANET), also particularly useful in autonomous driving system. More importantly, VANET can accurately be represented by different forms of topologies: V2V and vehicle-to-roadside (V2R) [3]. VANET technology has also been hailed as a full wireless communication solution in advancing driving comfort and increasing traffic safety and ecological efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…Due to the obvious advantages such as directly modeling the statistical characteristics of MIMO channel in the time, space, and frequency domains and being flexible in changing the various environments and simple to implement, the feasibility study of using MIMO technology and a modified spatial channel model (SCM) in V2V communication is also discussed [3]. Taking advantage of the ray tracing, SCM models the scattering environment based on the stochastic channel models, which can specify the parameters for SCM and develop a procedure for channel modeling [10,11].…”

Section: Introductionmentioning

confidence: 99%

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Research on Spatial Channel Model for Vehicle-to-Vehicle Communication Channel in Roadside Scattering Environment

Chen

Fang

Xiang

et al. 2017

International Journal of Antennas and Propagation

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In this paper, an extension of spatial channel model (SCM) for vehicle-to-vehicle (V2V) communication channel in roadside scattering environment is investigated for the first time theoretically and by simulations. Subsequently, to efficiently describe the roadside scattering environment and reflect the nonstationary properties of V2V channels, the proposed SCM V2V model divides the scattering objects into three categories of clusters according to the location of effective scatterers by introducing critical distance. We derive general expressions for the most important statistical properties of V2V channels, such as channel impulse response, power spectral density, angular power density, autocorrelation function, and Doppler spread of the proposed model. The impact of vehicle speed, traffic density, and angle of departure, angle of arrival, and other statistical performances on the V2V channel model is thoroughly discussed. Numerical simulation results are presented to validate the accuracy and effectiveness of the proposed model.

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“…The proposed model in this paper is built upon 3GPP channel model [31]. It mainly follows the approach of a modified version of Spatial Channel Model Extended SCME to be used as V2V channel model.…”

Section: Communicationsmentioning

confidence: 99%

A predefined channel coefficients library for Vehicle-to-Vehicle communications

Al-Khalil

Turner

Al-Sherbaz

2015

2015 7th International Workshop on Reliable Networks Design and Modeling (RNDM)

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-It is noticeable that most of VANETs communications tests are assessed through simulation. In a majority of simulation results, the physical layer is often affected by an apparent lack of realism. Therefore, vehicular channel model has become a critical issue in the field of intelligent transport systems (ITS). To overcome the lack of realism problem, a more robust channel model is needed to reflect the reality.

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Feasibility study of utilising SCM – MIMO channel model in V2V communication

Cited by 6 publications

References 13 publications

Utilising SCM – MIMO Channel Model Based on V-BLAST Channel Coding in V2V Communication

Utilising SCM – MIMO Channel Model Based on V-BLAST Channel Coding in V2V Communication

Research on Spatial Channel Model for Vehicle-to-Vehicle Communication Channel in Roadside Scattering Environment

A predefined channel coefficients library for Vehicle-to-Vehicle communications

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