Change search
Refine search result
1 - 4 of 4
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1. Beek, Jaap van de
    et al.
    Tao, Cai
    Huawei Technologies Sweden.
    Grimoud, Sébastien
    Orange Labs, Telecom R and D, Issy-les-Moulineaux.
    Sayrac, Berna
    Orange Labs, Telecom R and D, Issy-les-Moulineaux.
    Mähönen, Petri H.
    Rheinisch-Westfälische Technische Hochschule Aachen, Institute for Networked.
    Nadreddine, Jad
    Rheinisch-Westfälische Technische Hochschule Aachen, Institute for Networked.
    Rihijärvi, Janne
    Rheinisch-Westfälische Technische Hochschule Aachen, Institute for Networked.
    How a layered rem architecture brings cognition to today's mobile networks2012In: IEEE wireless communications, ISSN 1536-1284, E-ISSN 1558-0687, Vol. 19, no 4, p. 17-24Article in journal (Refereed)
    Abstract [en]

    In this article, we present a layered radio environment map architecture along with its applications to the self-organizing network functionalities of heterogeneous LTE radio access networks comprising macrocells and femtocells. In this architecture, the functional blocks reappear with different spatial and temporal granularity at different architectural layers. Although the radio environment map is one of the key promising technologies to enable future cognitive radio networks, it can be already applied to provide limited cognitive capabilities to today's commercial networks too. We explain why, and show how, this architecture can support today??s LTE self-organizing network functions like automatic neighbor relation and minimization of drive tests, and also allow the smooth introduction of new radio access technologies through refarming. We also demonstrate some of the quantitative benefits adopting radio environment map technologies can bring using the minimization of drive tests as an example.

  • 2.
    Saxena, Neetesh
    et al.
    Georgia Institute of Technology.
    Grijalva, Santiago
    Georgia Institute of Technology.
    Chukwuka, Victor
    Georgia Institute of Technology.
    Vasilakos, Athanasios V.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Network Security and Privacy Challenges in Smart Vehicle-to-Grid2017In: IEEE wireless communications, ISSN 1536-1284, E-ISSN 1558-0687, Vol. 24, no 4, p. 88-98Article in journal (Refereed)
    Abstract [en]

    Smart vehicle-to-grid (V2G) involves intelligent charge and discharge decisions based on user operational energy requirements, such as desired levels of charging and waiting time. V2G is also supported by information management capabilities enabled by a secure network, such as a reliable privacy-preserving payment system. In this article, we describe the network security and privacy requirements and challenges of V2G applications. We present a new network security architecture to support V2G. We propose a scheme with the following security and privacy-preserving features: anonymous authentication, fine-grained access control, anonymous signatures, information confidentiality, message integrity, remote attestation, and a payment system. This article is oriented toward practitioners interested in designing and implementing secure and privacy-preserving networks for smart V2G applications.

  • 3.
    Vinel, Alexey
    et al.
    School of Information Technology, Halmstad University.
    Chen, Wen-Shyen Eric
    ProphetStor.
    Xiong, Neal N.
    Department of Business and Computer Science, Southwestern Oklahoma State University.
    Rho, Seungmin
    Department of Media Software at Sungkyul University.
    Chilamkurti, Naveen
    Department of Computer Science and Telecommunications, La Trobe University, Melbourne.
    Vasilakos, Athanasios
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Enabling wireless communication and networking technologies for the internet of things: Guest editorial2016In: IEEE wireless communications, ISSN 1536-1284, E-ISSN 1558-0687, Vol. 23, no 5, p. 8-9Article in journal (Other academic)
    Abstract [en]

    The Internet of Things (IoT) is enabling ubiquitous computing with a novel design paradigm to integrate global physical objects, cyber and social spaces, and machines. It may be envisaged as a web of trillions of machines that will communicate with each other. The major enabling technologies that are giving a flying kickstart to IoT are ad hoc and wireless sensor networks, short-range wireless communications, real-time systems, low power and energy harvesting, radio frequency identification, machine type communication, resource-constrained networks, and embedded software.

  • 4.
    Zhang, Zhongshan
    et al.
    University of Science and Technology, Beijing.
    Wang, Xiyuan
    University of Science and Technology, Beijing.
    Long, Keping
    University of Science and Technology, Beijing.
    Vasilakos, Athanasios
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Hanzo, Lajos
    University of Southampton.
    Large-scale MIMO-based wireless backhaul in 5G networks2015In: IEEE wireless communications, ISSN 1536-1284, E-ISSN 1558-0687, Vol. 22, no 5, p. 58-66Article in journal (Refereed)
    Abstract [en]

    In order to enhance the attainable transmission rates to the levels specified by future wireless communications, a paradigm shift from conventional small-scale MIMO to large-scale (LS)-MIMO is highly desirable. LS-MIMO technology as a "cleanslate" approach is shown to be capable of dramatically increasing the area spectral efficiency (SE, as measured in bits per second per Hertz per square kilometer) while simultaneously improving the energy efficiency as measured in bits per Joule. Furthermore, the concept of LS-MIMO has established itself as a beneficial transmission/detection paradigm, thus substantially reducing the impact of interference relying on some advanced transmit precoding/ beamforming/detection techniques. This article is intended to offer a state-of-the-art survey on LS-MIMO research, to promote the discussion of its beneficial application areas and the research challenges associated with BF aided wireless backhaul, LS-MIMO channel modeling, signal detection, and so on. Additionally, a joint group power allocation and pre-beamforming scheme called JGPAPBF is proposed to substantially improve the performance of LS-MIMO-based wireless backhaul in heterogeneous networks. Our hope is that this article will stimulate future research efforts.

1 - 4 of 4
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf