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Vehicular Technology Magazine, IEEE

Issue 2 • Date June 2012

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Displaying Results 1 - 25 of 27
  • [Front cover]

    Page(s): C1
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  • IEEE Transactions on Vehicular Technology Special Section: Self-Organizing Radio Networks

    Page(s): C2
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    Freely Available from IEEE
  • Table of contents

    Page(s): 1 - 2
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  • [Staff listing]

    Page(s): 2
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  • Connections: From Macro to Micro [From the Editor]

    Page(s): 3
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  • Call For Participation - IEEE 802.15.4p Positive Train Control Task Group

    Page(s): 3
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  • Smarter and Safer Vehicles [Automotive Electronics]

    Page(s): 4 - 9
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  • City of Nottingham Expands Tram System [Transportation Systems]

    Page(s): 18 - 22
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  • Applications of Cognitive Radio Networks [From the Guest Editors]

    Page(s): 23 - 24
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  • IEEE Transactions on Vehicular Technology Special Section: Graph Theory and Its Application in Vehicular Networking

    Page(s): 25
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  • Smart Radios for Smart Vehicles: Cognitive Vehicular Networks

    Page(s): 26 - 33
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1487 KB) |  | HTML iconHTML  

    This article discusses the current state-of-the-art research on CRV networks. While it is envisaged that this technology will help to realize high-bandwidth multimedia applications, the research on CRV networks is still at a preliminary stage. The spectrum management functions proposed for general-purpose CR networks will need to be revisited by taking into account the characteristics of the vehicular environment, such as the role of the mobility, and the cooperation possibilities. The lack of realistic test beds and of simulation tools is a serious limitation, and effort needs to be invested in building such evaluation platforms that can provide realistic insights on the performance of CRV networks before the potential for this technology can be fully realized. View full abstract»

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  • Spectrum-Aware Underwater Networks: Cognitive Acoustic Communications

    Page(s): 34 - 40
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    In this article, CAC to empower SUN inspiring from CR paradigm in wireless terrestrial communications is proposed. Spectrum scarcity in UAC due to the uniquely challenging underwater acoustic spectrum is discussed, and the need for spectrum-aware communication techniques is pointed out. We explore the capacity gain that can be achieved via CAC in SUN by simulation experiments and investigate the advantages and limitations of SUN along with its tradeoffs for DSA and OSA separately. Clearly, SUN can reach higher capacities than traditional fixed-spectrum approaches with the help of CAC capability. We expect that this article will provide better recognition for the capabilities of SUN and actuate further research efforts to explore this favorable area. View full abstract»

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  • Cognitive Radio Networks for Smart Grid Applications: A Promising Technology to Overcome Spectrum Inefficiency

    Page(s): 41 - 46
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    With the rapid increase in world population and power demand, the aging infrastructure of the existing power grid has caused many problems to electric utilities and customers in terms of system reliability, power quality, and customer satisfaction. Field tests show that the power grid has harsh and complex environmental conditions, dynamic topology changes, connectivity problems, interference, and fading, which make wireless communication very challenging in power grid environments. Recently, cognitive radio (CR) network is recognized as a promising technology to address the communication and networking problems of next-generation power grid, i.e., smart grid (SG). This article presents a comprehensive review about SG characteristics and CR-based SG applications. Also, architectures to support CR networks in SG applications, major challenges, and open issues have been discussed. View full abstract»

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  • TV White Space Technology: Interference in Portable Cognitive Emergency Network

    Page(s): 47 - 53
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    We address the problem of interference between portable cognitive emergency wireless networks (PCENs) operating in the TV white space (TVWS). We use stochastic-geometric model to gauge the expected reduction of effective service area caused by the interference between adjacent PCENs. The modeling steps are introduced in a tutorial fashion, and our results reveal the intrinsic relationship that PCEN service area has with environmental and TVWS-related system parameters, such as number of available TV channels, density of PCEN networks, and path-loss attenuation exponent. Furthermore, we give an up-to-date and timely overview of the under going activities in international standardization bodies as well as regulations created toward the realization of communications in the TVWS. View full abstract»

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  • Public Safety Communications: Enhancement Through Cognitive Radio and Spectrum Sharing Principles

    Page(s): 54 - 61
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (919 KB)  

    Wireless communications technologies play an irreplaceable role in emergency and disaster relief situations. It is generally acknowledged that the existing public safety (PS) wireless communications facilities frequently fall short of meeting users' needs in many critical situations. Emergency scenarios usually lead to exceptionally high traffic loads, and the lack of network capacity is one of the major limitations to overcome. In this context, this article first discusses about several dimensions that enable increased capacity in emergency scenarios, and then the attention is placed on the role of spectrum sharing as one of these key dimensions. In this regard, a comprehensive view of possible spectrum-sharing models for emergency communications is developed. The key principles underlying each sharing model are given, and its applicability is described through illustrative examples, where it is made evident that cognitive radio (CR) technology constitutes a major technological enabler for their realization. Finally, a discussion on the feasibility of each of the spectrum sharing models is addressed. View full abstract»

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  • Opportunistic Spectrum Access: From Theory to Practice

    Page(s): 62 - 68
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    In this article, an experimental study of the less studied topic of distributed OSA implementation have been presented. Hardware technologies do not provide the cognitive transceiver requirements needed to exploit OSA to its full potential, suboptimal OSA approaches developed to target that low-complexity transceivers can achieve significant performance gains compared to approaches theoretically optimized disregarding the practical system constraints, is demonstrated. Theoretical OSA approaches can exploit the gains available to the individual practical components. A radio transceiver with cognition capabilities and real-time reconfigurability can be used to realize cognitive radio networks. View full abstract»

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  • Dynamic Spectrum Access Networks: Independent Coalition Formation

    Page(s): 69 - 76
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    In this article, we have examined how cyclostationary signatures can be used to create a novel method of dynamic control channel design, and we have shown how this design enables the construction of impromptu network coalitions between geographically distributed independent service providers. The system proposed in this article is an example of a more decentralized and ad hoc network construction process whereby temporary service can be offered to users without a huge amount of preplanning or overhead. We have also seen how these systems can use DSA techniques to exploit inherent geo-locational disparity in spectrum and achieve greater View full abstract»

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  • Cognitive Radio Systems Evaluation: Measurement, Modeling, and Emulation Approach

    Page(s): 77 - 84
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    A vertically integrated approach is presented to evaluate the performance of cognitive radio (CR) systems. The approach consists of three pillars: measurement, modeling, and emulation (MME). This integrated approach enables the reproduction of the radio environment in laboratory conditions and aims to guarantee the same performance results as one would obtain in the field. This article provides a detailed explanation for each pillar along with state-of-the-art overviews. Finally, a test bed based on the MME approach is presented. View full abstract»

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  • Impact of Cognitive Radio: Recognition and Informed Exploitation of Grey Spectrum Opportunities

    Page(s): 85 - 90
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    In this article, we employ techniques that allow cognitive radios to familiarize themselves with an unknown spectrum environment, recognizing specific, moderately utilized spectrum bands that present an opportunity to be exploited using learning-enhanced dynamic spectrum access (DSA) techniques. Much has been made of the potential for cognitive radios to operate in white spaces, in which secondary users (SUs) avoid interference with incumbents by utilizing portions of the spectrum that remain unoccupied for fairly significant periods of time [1], [2]. However, there is also a great potential for cognitive radios to operate in gray spaces, which may be intermittently occupied or occupied by low-power interferers, requiring a degree of interference tolerance. Such spectrum opportunities, which can be exploited by cognitive radios, will not be uniform and far from it. When a spectrum opportunity arises in a band that is occupied by other users, whether the users are licensed or not, the behavior of the users' networks determine what, if any, spectrum will be available to the secondary cognitive radio user. If the cognitive radio can learn how the other users are exploiting the spectrum, then it can make a more informed attempt to exploit the opportunity. In this article, we examine the possibility of exploiting gray space opportunities in global system for mobile communications (GSM), digital-enhanced cordless telecommunications (DECT), and 2.4-GHz industrial, scientific and medical (ISM) bands. View full abstract»

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  • Knowledge Management Toolbox: Machine Learning for Cognitive Radio Networks

    Page(s): 91 - 99
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    Learning mechanisms are essential for the attainment of experience and knowledge in cognitive radio (CR) systems, exposed to high dynamics with often unpredictable states [1]. These mechanisms can be associated with user and device profiles, context, and decisions. The focus learning user preferences is the dynamic inference and estimation of current and future user preferences. The acquisition and learning of context information encompasses mechanisms for the system to perceive its current status and conditions in its present environment, as well as estimating (and forecasting) the capabilities of available network configurations. Finally, learning related to decisions addresses the building of knowledge with respect to the efficiency of solutions that can be applied to specific situations encountered. Based on knowledge obtained through learning, decision-making mechanisms can become faster, since the CR system can learn and immediately apply solutions that have been identified as being efficient in the past. Moreover, knowledge obtained through learning mechanisms may be shared among nodes of a system. Thus, more reliable and more optimal decisions can be made by exploiting knowledge obtained through learning mechanisms. View full abstract»

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  • Cognitive Resource Management: For All Wireless Access Layers

    Page(s): 100 - 106
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    The radio communications spectrum has been commonly considered a scarce resource. Measurements, however, revealed that spectral resources are actually under used most of the time. Therefore, advanced radio resource management (RRM) techniques try to balance the spectrum occupation. Increasing the system capacity further requires the coordination of several factors in the wireless business and the convergence of standards and technologies. View full abstract»

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  • IEEE Transactions on Vehicular Technology: Special Section on Condition Monitoring and Fault Accommodation in Electric and Hybrid Propulsion Systems

    Page(s): 107
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  • Next-Generation Mobile Technology [Standards]

    Page(s): 108 - 110
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  • Conferences of interest [Calendar of Events]

    Page(s): 111
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Aims & Scope

IEEE Vehicular Technology Magazine will seek to publish peer reviewed articles covering advances in areas of interest to the IEEE Vehicular Technology Society: The theoretical, experimental, application and operational aspects of electrical and electronic engineering relevant to motor vehicles and associated land transportation infrastructure.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Charles Backof