IEEE Transactions on Vehicular Technology (IEEE T VEH TECHNOL)

Publisher: Vehicular Technology Society; Institute of Electrical and Electronics Engineers; IEEE Vehicular Technology Group, Institute of Electrical and Electronics Engineers

Journal description

Land, airborne, and maritime mobile services; portable or hand-carried and citizens' communications services, when used as an adjunct to a vehicular system; vehicular electrotechnology, equipment, and systems ordinarily identified with the automotive industry, excluding systems associated with public transit.

Current impact factor: 1.98

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 1.978
2013 Impact Factor 2.642
2012 Impact Factor 2.063
2011 Impact Factor 1.921
2010 Impact Factor 1.485
2009 Impact Factor 1.488
2008 Impact Factor 1.308
2007 Impact Factor 1.191
2006 Impact Factor 1.071
2005 Impact Factor 0.86
2004 Impact Factor 0.611
2003 Impact Factor 0.861
2002 Impact Factor 1.22
2001 Impact Factor 0.776
2000 Impact Factor 0.735
1999 Impact Factor 0.902
1998 Impact Factor 0.67
1997 Impact Factor 0.812
1996 Impact Factor 0.769
1995 Impact Factor 0.627
1994 Impact Factor 0.796
1993 Impact Factor 1.095
1992 Impact Factor 0.879

Impact factor over time

Impact factor

Additional details

5-year impact 2.48
Cited half-life 5.20
Immediacy index 0.31
Eigenfactor 0.04
Article influence 1.02
Website IEEE Transactions on Vehicular Technology website
Other titles IEEE transactions on vehicular technology, Transactions on vehicular technology, Vehicular technology
ISSN 0018-9545
OCLC 1644964
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details

Institute of Electrical and Electronics Engineers

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  • Classification

Publications in this journal

  • IEEE Transactions on Vehicular Technology 11/2015; DOI:10.1109/TVT.2015.2504037
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    ABSTRACT: One of the challenging tasks in LTE baseband receiver design is synchronization, which determines the symbol boundary and transmitted frame start-time, and performs cell identification. Conventional algorithms are based on correlation methods that involve a large number of multiplications and thus lead to high receiver hardware complexity and power consumption. In this paper, a hardware-efficient synchronization algorithm for frame timing based on K-means clustering schemes is proposed. The algorithm reduces the complexity of the primary synchronization signal for LTE from 24 complex-multiplications, currently best known in the literature, to just 8. Simulation results demonstrate that the proposed algorithm has negligible performance degradation with reduced complexity relative to conventional techniques.
    IEEE Transactions on Vehicular Technology 11/2015; DOI:10.1109/TVT.2015.2503606
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    ABSTRACT: An important problem in a three-dimensional wireless sensor network with dense and random deployment of sensors, is to minimise the number of sensors required to cover a field of interest (FoI). Some monitoring applications may require the FoI to be k-covered, k ≥ 1, while the redundant sensors must be scheduled to sleep to minimise the energy consumption. In this paper, we address the problem of determining the probability of a sensor being redundant for k-coverage of the FoI. We assume that the network is heterogeneous in which all the sensors may not have the same sensing and/or communication radii. We use a probabilistic approach to estimate the volume of the sensing sphere of an arbitrary sensor, that is redundantly covered by its neighbours. We prove a result to determine if a sensor is redundant for k−coverage, only based on the information about the number of neighbours and their type. We propose a distributed protocol to schedule the redundant sensors to sleep which does not require any geographical information. Results demonstrate that the scheduling protocol reduces the number of active sensors and thereby prolongs the network lifetime.
    IEEE Transactions on Vehicular Technology 11/2015;
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    ABSTRACT: In this work, we consider the transmission of confidential message through single-input multiple-output (SIMO) identically and identically independent Generalized-K fading channels in the presence of an eavesdropper. We derive the analytical expressions for the probability of strictly positive secrecy capacity (SPSC), secure outage probability (SOP), and average secrecy capacity (ASC) of SIMO systems. Numerical results are presented and verified via Monte-Carlo simulation.
    IEEE Transactions on Vehicular Technology 11/2015; DOI:10.1109/TVT.2015.2496353
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    ABSTRACT: One approach to analyze the high signal-to-noise ratio (SNR) capacity of non-coherent wireless communication systems is to ignore the noise component of the received signal in the computation of its differential entropy. In this paper we consider the error incurred by this approximation when the transmitter and the receiver have one antenna each, and the noise has a Gaussian distribution. We consider the complex and real cases and we show that, when the probability density function of the signal component of the received signal is piecewise differentiable, the approximation error decays as 1/SNR, which tightens the available result that the error decays as o(1). In addition, we consider the special instance in which the signal component of the received signal corresponds to a signal transmitted over a channel with a Gaussian fading coefficient. For that case, we provide explicit expressions for the first non-constant term of the Taylor expansion of the differential entropy, and we invoke Schwartz’s inequality to obtain an efficiently computable bound on it. Our results are supported by numerical examples.
    IEEE Transactions on Vehicular Technology 10/2015; 64(10):1-1. DOI:10.1109/TVT.2014.2366911
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    ABSTRACT: In this paper, we propose a broadband single-carrier (SC) spatial modulation (SM)-based multiple-input–multiple-output (MIMO) architecture relying on a soft decision (SoD) frequency-domain equalization (FDE) receiver. We demonstrate that conventional orthogonal-frequency-division-multiplexing (OFDM)-based broadband transmissions are not readily suitable for the single-radio-frequency-assisted SM-MIMO schemes since this scheme exhibits no substantial performance advantage over single-antenna transmissions. To circumvent this limitation, a low-complexity SoD FDE algorithm based on the minimum mean square error (MMSE) criterion is invoked for our broadband SC-based SM-MIMO scheme, which is capable of operating in a strongly dispersive channel having a long channel impulse response at moderate decoding complexity. Furthermore, our SoD FDE attains a near-capacity performance with the aid of a three-stage concatenated SC-based SM architecture.
    IEEE Transactions on Vehicular Technology 10/2015; 64(10):4870-4875. DOI:10.1109/TVT.2014.2370679
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    ABSTRACT: Heterogeneous networks (HetNets), where small cells are deployed within the coverage of macrocells, can increase capacity and enhance coverage of a cellular system. Compared with macrocells, small cells have superiority in terms of low installation and operation cost because of their small physical size and low transmission power. Hence, HetNets are deemed as a cost-effective way to address the everlasting radio spectrum crisis. On the other hand, HetNets also unfold a new paradigm from the viewpoint of cellular network planning. In this paper, we study the budgeted cell planning problem in HetNets, where our aim is to maximize the number of traffic demand nodes whose required rates are fully satisfied with a given budget. Our optimization task is challenging, and the formulated problem is hard to solve because of constraints in practical cellular systems, including power limitation, available bandwidth, and traffic requirements. We develop an approximation algorithm that yields an fraction of the optimum, which not only provides quality-guaranteed solutions to the budgeted cel planning problem but sheds useful lights on how to plan a HetNet with limited capital expenditure as well. Preliminary numerical results show that small cells can improve the capacity of a cellular system significantly if they are properly planned.
    IEEE Transactions on Vehicular Technology 10/2015; 64(10):4797-4806. DOI:10.1109/TVT.2014.2366783