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


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.

Impact factor 2.64

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  • Website
    IEEE Transactions on Vehicular Technology website
  • Other titles
    IEEE transactions on vehicular technology, Transactions on vehicular technology, Vehicular technology
  • ISSN
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  • 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
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: We propose a novel 6 DoF visual SLAM method based on the structural regularity of man-made building environments. The idea is that we use the building structure lines as features for localization and mapping. Unlike other line features, the building structure lines encode the global orientation information that constrains the heading of the camera over time, eliminating the accumulated orientation errors and reducing the position drift in consequence. We extend the standard EKF visual SLAM method to adopt the building structure lines with a novel parametrization method that represents the structure lines in dominant directions. Experiments have been conducted in both synthetic and real-world scenes. The results show that, our method performs remarkably better than the existing methods in terms of position error and orientation error. In the test of indoor scenes of the public RAWSEEDS datasets, with the aid of wheel odometer, our method produces bounded position errors about 0:79 meter along a 967 meter path even though no loop closing algorithm is applied.
    IEEE Transactions on Vehicular Technology 06/2015;
  • IEEE Transactions on Vehicular Technology 01/2015;
  • IEEE Transactions on Vehicular Technology 01/2015;
  • IEEE Transactions on Vehicular Technology 01/2015;
  • IEEE Transactions on Vehicular Technology 01/2015;
  • [Show abstract] [Hide abstract]
    ABSTRACT: Mobile femtocell (MFemtocell) is a new concept that has been proposed recently to be a potential wireless communication technology for the next generation cellular systems. The essence of MFemtocell lies in adopting the femtocell technology inside vehicles such as trains, buses, or private cars, to provide better coverage and good Internet experience whilst on the move. In this paper, we investigate the spectral and energy efficiency for the MFemtocell-assisted network with different resource partitioning schemes. Closed-form expressions for the relationships between the spectral efficiency and energy efficiency are derived for a link-level MFemtocell network. We also investigate the spectral efficiency for multi-user system-level MFemtocells with opportunistic scheduling schemes. Our analysis shows that MFemtocells can provide better spectral and energy efficiency compared to direct transmission scheme.
    IEEE Transactions on Vehicular Technology 01/2015;
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Next-generation WLANs will support the use of wider channels, which is known as channel bonding, to achieve higher throughput. However, because both the channel center frequency and the channel width are autonomously selected by each WLAN, the use of wider channels may also increase the competition with other WLANs operating in the same area for the limited available spectrum, thus causing the opposite effect. In this paper, we analyse the interactions between a group of neighboring WLANs that use channel bonding and evaluate the impact of those interactions on the achievable throughput. A Continuous Time Markov Network (CTMN) model that is able to capture the coupled operation of a group of overlapping WLANs is introduced and validated. The results show that the use of channel bonding can provide significant performance gains even in scenarios with high densities of WLANs, though it may also cause unfair situations in which some WLANs cannot access the channel, while others receive most of the transmission opportunities.
    IEEE Transactions on Vehicular Technology 01/2015;
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper introduces an autonomous integrated indoor navigation system for ground vehicles that fuses inertial sensors, light detection and ranging (LiDAR), received signal strength (RSS) observations in wireless local area network (WLAN), odometery, and pre-defined occupancy floor maps. The paper proposes a solution for the problem of automatic self-alignment and position initialization indoors under the absence of absolute navigation system such as Global Navigation Satellite Systems (GNSS). The initial tilt angles (roll and pitch) are estimated by an extended Kalman filter (EKF) that uses two horizontal accelerometers as measurements. The initial position and heading estimation is performed using a sub-image matching algorithm based on normalized cross-correlation between projected 2D LiDAR scans and occupancy floor maps. The ambiguities in position/heading initialization are resolved using RSS. The proposed position/heading estimation module is also utilized in navigation mode as a source of absolute position/heading updates to EKF for enhanced observability. The state predictor is an enhanced 3D inertial navigation system that utilizes low cost MEMS-based reduced inertial sensors set (RISS) aided by the vehicle odometery. In navigation mode, LiDAR scans are used to estimate the vehicle’s relative motions using an inertial-aided iterative closest point (ICP) algorithm. To fuse all available measurements from LiDAR, WLAN, and Maps, a multi-rate multi-mode EKF design is proposed to correct navigation states and estimate sensors biases. The developed system was tested in real indoor office environment covered by an IEEE 802.11 WLAN on a mobile robot platform equipped with MEMS-based inertial sensors, WLAN-interface, LiDAR scanner and a quadrature encoder. Results demonstrated the capabilities of the self-alignment and initialization module and showed sub-meter level positioning accuracy.
    IEEE Transactions on Vehicular Technology 01/2015; under print.
  • IEEE Transactions on Vehicular Technology 01/2015; in press.
  • [Show abstract] [Hide abstract]
    ABSTRACT: We investigate the cell coverage optimization problem for the massive multiple-input multiple-output (MIMO) uplink. By deploying tilt-adjustable antenna arrays at the base stations, cell coverage optimization can become a promising technique which is able to strike a compromise between covering cell-edge users and pilot contamination suppression. We formulate a detailed description of this optimization problem by maximizing the cell throughput, which is shown to be mainly determined by the user distribution within several key geometrical regions. Then, the formulated problem is applied to different example scenarios: for a network with hexagonal shaped cells and uniformly distributed users, we derive an analytical lower bound of the ergodic throughput in the objective cell, based on which, it is shown that the optimal choice for the cell coverage should ensure that the coverage of different cells does not overlap; for a more generic network with sectoral shaped cells and non-uniformly distributed users, we propose an analytical approximation of the ergodic throughput. After that, a practical coverage optimization algorithm is proposed, where the optimal solution can be easily obtained through a simple one-dimensional line searching within a confined searching region. Our numerical results show that the proposed coverage optimization method is able to greatly increase the system throughput in macrocells for the massive MIMO uplink transmission, compared with the traditional schemes where the cell coverage is fixed.
    IEEE Transactions on Vehicular Technology 12/2014;
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper investigates the capacity of radio channels when iterative channel estimation, data detection, and decoding are employed. Knowing the capacity gain from iterative detection versus purely pilot-based channel estimation helps a designer to compare the performance of an iterative receiver against a non-iterative one and select the best balance between performance and cost. A bound is put on the linear minimum mean-square error (LMMSE) channel estimation error, based on which a bound on the capacity is obtained. The attainable capacity is related to the channel estimation error of the receiver. The bounds take into account the uncertainty in symbol detection on channel estimation, and incorporate the effect of channel estimation error on channel capacity. The interaction between the symbol detector and the decoder is analytically characterized and depicted in an extrinsic information transfer (EXIT) chart, where a bound on the detector curve is found. With optimal LMMSE pilot-based channel estimation, the results of this paper demonstrate that iterative channel estimation provides insignificant capacity advantage at fading rates below 1% of the symbol rate, though a computational-cost gain is still available. Iterative channel estimation provides a capacity benefit if suboptimal pilot signaling is used to provide initial channel estimates.
    IEEE Transactions on Vehicular Technology 12/2014;
  • [Show abstract] [Hide abstract]
    ABSTRACT: Wireless broadcasting systems employ multiple retransmissions to guarantee the correct reception of each packet. Traditional hybrid automatic retransmission request (HARQ) protocol retransmits one packet per slot. Hence, a large amount of retransmissions is required to correctly receive all the packets, which leads to low spectrum efficiency. In this paper, we propose a Network coding and distributed Turbo Coding based type- III HARQ (NTC-HARQ) protocol, including XORing Network Coding Combined (XNCC) retransmission strategy at the access node (AN) and joint network-turbo decoding (JNTD) strategy at the user equipment (UE). Specifically, to reduce the overall number of retransmissions, lost packets of different UEs are network coding (NC) combined at the AN by utilizing XNCC strategy. The soft information of the lost packet at each UE can be recovered from the received network coded retransmission packet by using the proposed XORing soft network decoder. The recovered soft information of the UE’s lost packet is combined with the local undecodable soft information of the same packet to form a distributed turbo code. A chase combining based distributed turbo decoder is proposed to perform turbo decoding, which introduces coding gain and improves Packet Error Rate (PER) performance. Theoretical analyses and simulation results show that the average number of transmissions performance of the proposed NTC-HARQ protocol outperforms that of the XNCC base type-I HARQ protocol (XNCC-HARQ), traditional NC based HARQ protocol (NC-HARQ) and JNTD based protocol (NC-JNTD).
    IEEE Transactions on Vehicular Technology 11/2014; PP(99):1.