Change search
Refine search result
1 - 6 of 6
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. Baldemair, Robert
    et al.
    Dahlman, Erik
    Fodor, Gabor
    Mildh, Gunnar
    Parkvall, Stefan
    KTH.
    Selén, Yngve
    Tullberg, Hugo
    Balachandran, Kumar
    Evolving Wireless Communications2013In: IEEE Vehicular Technology Magazine, ISSN 1556-6072, E-ISSN 1556-6080, Vol. 8, no 1, p. 24-30Article in journal (Refereed)
    Abstract [en]

    The wireless-access networks of today will have to evolve in several ways in order to address the challenges and expectations of the future. New technology components will be introduced as part of the evolution of current wireless-access technologies, such as high-speed packet access (HSPA) and long-term evolution (LTE). However, additional components may also constitute future new wireless-access technologies, which may complement the evolved technologies. Examples of such new technology components are new ways of accessing spectrum and substantially higher frequency ranges, the introduction of massive antenna configurations, direct device-to-device communication, and ultradense deployments.

  • 2. Fettweis, G.
    et al.
    Zimmermann, E.
    Jungnickel, V.
    Jorswieck, Eduard Axel
    KTH, School of Electrical Engineering (EES), Signal Processing.
    Challenges in future short range wireless systems2006In: IEEE Vehicular Technology Magazine, ISSN 1556-6072, E-ISSN 1556-6080, Vol. 1, no 2, p. 24-31Article in journal (Refereed)
    Abstract [en]

    As RF and baseband engineers strive to satisfy the demand for ever higher data rates in next generation wireless systems, they are faced with three challenging requirements: both spectral efficiency and bandwidth have to be increased, and the cost per bit has to be kept low. A combination of MIMO, OFDM and TDD is a promising candidate technology to meet these objectives. However, realizing the potential gains of this approach requires tackling a number of new challenges: real MIMO channels, real- "Dirty" - RF and tough real-time constraints.

  • 3. Jang, Insun
    et al.
    Choo, Sukjin
    Kim, Myeongsu
    Pack, Sangheon
    Dan, György
    KTH, School of Electrical Engineering (EES), Network and Systems engineering.
    The Software-Defined Vehicular Cloud: A New Level of Sharing the Road2017In: IEEE Vehicular Technology Magazine, ISSN 1556-6072, E-ISSN 1556-6080, Vol. 12, no 2, p. 78-88Article in journal (Refereed)
    Abstract [en]

    A vehicular cloud (VC) is a type of mobile ad hoc cloud in which multiple vehicles share their resources and perform collaborative jobs. In this article, we propose a software-defined (SD) VC (SDVC) architecture to achieve flexible VC control and efficient resource utilization in a centralized manner.

  • 4.
    Khodaei, Mohammad
    et al.
    KTH, School of Electrical Engineering (EES), Communication Networks.
    Papadimitratos, Panos
    KTH, School of Electrical Engineering (EES), Communication Networks.
    The Key to Intelligent Transportation: Identity and Credential Management in Vehicular Communication Systems2015In: IEEE Vehicular Technology Magazine, ISSN 1556-6072, E-ISSN 1556-6080, Vol. 10, no 4, p. 63-69, article id 1556-6072Article in journal (Refereed)
    Abstract [en]

    Vehicular Communication (VC) systems will greatly enhance intelligent transportation systems. But their security and the protection of their users’ privacy are a prerequisite for deployment. Efforts in industry and academia brought forth a multitude of diverse proposals. These have now converged to a common view, notably on the design of a security infrastructure, a Vehicular Public Key Infrastructure (VPKI) that shall enable secure conditionally anonymous VC. Standardization efforts and industry readiness to adopt this approach hint to its maturity. However, there are several open questions remaining, and it is paramount to have conclusive answers before deployment. In this article, we distill and critically survey the state of the art for identity and credential management in VC systems, and we sketch a roadmap for addressing a set of critical remaining security and privacy challenges.

  • 5.
    Zhang, Zhengquan
    et al.
    Southwest Jiaotong Univ, Chengdu, Sichuan, Peoples R China..
    Xiao, Yue
    Southwest Jiaotong Univ, Chengdu, Sichuan, Peoples R China..
    Ma, Zheng
    Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu, Sichuan, Peoples R China..
    Xiao, Ming
    KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.
    Ding, Zhiguo
    Univ Manchester, Commun, Manchester, Lancs, England..
    Lei, Xianfu
    Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu, Sichuan, Peoples R China..
    Karagiannidis, George K.
    Aristotle Univ Thessaloniki, Elect & Comp Engn Dept, Thessaloniki, Greece.;Aristotle Univ Thessaloniki, Digital Telecommun Syst & Networks Lab, Thessaloniki, Greece..
    Fan, Pingzhi
    Southwest Jiaotong Univ, Chengdu, Sichuan, Peoples R China..
    6G WIRELESS NETWORKS Vision, Requirements, Architecture, and Key Technologies2019In: IEEE Vehicular Technology Magazine, ISSN 1556-6072, E-ISSN 1556-6080, Vol. 14, no 3, p. 28-41Article in journal (Refereed)
    Abstract [en]

    A key enabler for the intelligent information society of 2030, 6G networks are expected to provide performance superior to 5G and satisfy emerging services and applications. In this article, we present our vision of what 6G will be and describe usage scenarios and requirements for multi-terabyte per second (Tb/s) and intelligent 6G networks. We present a large-dimensional and autonomous network architecture that integrates space, air, ground, and underwater networks to provide ubiquitous and unlimited wireless connectivity. We also discuss artificial intelligence (AI) and machine learning [1], [2] for autonomous networks and innovative air-interface design. Finally, we identify several promising technologies for the 6G ecosystem, including terahertz (THz) communications, very-large-scale antenna arrays [i.e., supermassive (SM) multiple-input, multiple-output (MIMO)], large intelligent surfaces (LISs) and holographic beamforming (HBF), orbital angular momentum (OAM) multiplexing, laser and visible-light communications (VLC), blockchain-based spectrum sharing, quantum communications and computing, molecular communications, and the Internet of Nano-Things.

  • 6.
    Zhang, Zhengquan
    et al.
    Southwest Jiaotong Univ, Chengdu, Sichuan, Peoples R China..
    Yang, Guang
    KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.
    Ma, Zheng
    Southwest Jiaotong Univ, Chengdu, Sichuan, Peoples R China.;Sch Informat Sci & Technol, Stockholm, Sweden..
    Xiao, Ming
    KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.
    Ding, Zhiguo
    Univ Lancaster, Lancaster, Lancs, England..
    Fan, Pingzhi
    Southwest Jiaotong Univ, Inst mobile Commun, Chengdu, Sichuan, Peoples R China..
    Heterogeneous Ultradense Networks with NOMA System Architecture, Coordination Framework, and Performance Evaluation2018In: IEEE Vehicular Technology Magazine, ISSN 1556-6072, E-ISSN 1556-6080, Vol. 13, no 2, p. 110-120Article in journal (Refereed)
    Abstract [en]

    Heterogeneous ultradense networks (H-UDNs) are one key enabler for fifth-generation (5G) wireless networks and beyond to satisfy the explosive growth of mobile data traffic, which exploits spatial reuse of scarce spectrum by deploying massive base stations (BSS) to boost network capacity and enhance network coverage. In this article, we present the system architecture for 5G H-UDNs, consisting of virtualized integrated ground-Air-space radio access networks (RANs) and core networks and study network coordination for virtualized H-UDN to efficiently manage computing resources and intercell interference. We look at a cloud-fog-computing coordination framework for efficient computing resource management by achieving reasonable computing task distribution and transfer; computing load balance for computing tasks among virtual computing resources to improve network performance and computing resource efficiency; and a macro-small cell coordination framework for virtualized H-UDN with nonorthogonal multiple access (NOMA) to efficiently manage intercell interference and improve network performance. The joint macro-small enhanced intercell interference coordination (eICIC) and small-small coordinated multipoint joint transmission (CoMP-JT) scheme can efficiently eliminate macro-small intercell interference and utilize small-small intercell interference.

1 - 6 of 6
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