Enhanced connectivity in vehicular ad-hoc networks via V2V communications

Yaacoub, Elias

doi:10.1109/iwcmc.2013.6583804

Cited by 9 publications

(2 citation statements)

References 13 publications

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“…In this paper, we focus only on the RAN. In a HetVNET, there are two types of communications links, i.e., V2V and V2I, which are similar to traditional vehicular networks supported by only a single communications technology [21][22] [23]. V2V allows for short-and medium-range communications among vehicular users ,offering low deployment costs and supporting short message delivery with low latency.…”

Section: A Frameworkmentioning

confidence: 99%

Heterogeneous Vehicular Networking: A Survey on Architecture, Challenges, and Solutions

Zheng

Wang

et al. 2015

IEEE Commun. Surv. Tutorials

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With the rapid development of the Intelligent Transportation System (ITS), vehicular communication networks have been widely studied in recent years. Dedicated Short Range Communication (DSRC) can provide efficient real-time information exchange among vehicles without the need of pervasive roadside communication infrastructure. Although mobile cellular networks are capable of providing wide coverage for vehicular users, the requirements of services that require stringent realtime safety cannot always be guaranteed by cellular networks. Therefore, the Heterogeneous Vehicular NETwork (HetVNET), which integrates cellular networks with DSRC, is a potential solution for meeting the communication requirements of the ITS. Although there are a plethora of reported studies on either DSRC or cellular networks, joint research of these two areas is still at its infancy. This paper provides a comprehensive survey on recent wireless networks techniques applied to HetVNETs. Firstly, the requirements and use cases of safety and non-safety services are summarized and compared. Consequently, a Het-VNET framework that utilizes a variety of wireless networking techniques is presented, followed by the descriptions of various applications for some typical scenarios. Building such HetVNETs requires a deep understanding of heterogeneity and its associated challenges. Thus, major challenges and solutions that are related to both the Medium Access Control (MAC) and network layers in HetVNETs are studied and discussed in detail. Finally, we outline open issues that help to identify new research directions in HetVNETs. IndexTerms-Vehicle-to-Vehicle (V2V),

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Section: A Frameworkmentioning

confidence: 99%

Heterogeneous Vehicular Networking: A Survey on Architecture, Challenges, and Solutions

Zheng

Wang

et al. 2015

IEEE Commun. Surv. Tutorials

500

230

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“…The resource allocation in [15] only focuses on LR (LTE) links and the V2V links adopt multicast, which is suitable for delay-sensitive service, for example, public safety service. An enhanced connectivity scheme is proposed in [18], in which the author proposed resource allocation algorithm for joint operation of SR V2V communications and LR LTE communications in vehicular networks. Considerable research effort that has been devoted to cooperative communication in vehicular networks have proposed a number of resource allocation schemes or relay selection schemes, respectively.…”

Section: Introductionmentioning

confidence: 99%

Joint optimization of link scheduling and resource allocation in cooperative vehicular networks

Zheng

Liu

2015

J Wireless Com Network

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Vehicular networks are a cornerstone of the envisioned intelligent transportation system (ITS) by enabling vehicles to communicate with each other via vehicle-to-vehicle (V2V) communications to overcome the current and future needs for increasing traffic safety and efficiency. In this paper, we employ the knapsack problem (KP) to formulate the problem of cooperative scheduling and radio resource management in vehicular networks for non-real time services. For the sake of maximizing sum utility (MSU) of the networks, we propose two-dimensional-multi-choice knapsack problem (2D-MCKP)-based scheduling scheme to select the coordinator vehicles for the sink vehicle and allocate radio resource to V2V and vehicle-to-infrastructure (V2I) links to solve the MSU optimization problem. Simulation results indicate that the proposed scheme significantly improves the average utility and average data rates with sustainable computational complexity. Moreover, the designed cooperative communication system achieves higher spectral efficiency and better fairness.

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