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  • 1.
    Hu, Honglin
    et al.
    Chinese Adacemy of Sciences.
    Zhang, Jian
    Chinese Adacemy of Sciences.
    Zheng, Xiaoying
    Chinese Academy of Sciences and Southeast University.
    Yang, Yang
    Chinese Academy of Sciences and University College London.
    Wu, Ping
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
    Self-Configuration and Self-Optimization for LTE Networks2010In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 48, no 2, p. 94-100Article in journal (Refereed)
    Abstract [en]

    With the rapid growth of mobile communications, deployment and maintenance of cellular mobile networks are becoming more and more complex, time consuming, and expensive. In order to meet the requirements of network operators and service providers, the telecommunication industry and international standardization bodies have recently paid intensive attention to the research and development of self-organizing networks. In this article we first introduce both the market and technological perspectives for SONs. Then we focus on the self-configuration procedure and illustrate a self-booting mechanism for a newly added evolved NodeB without a dedicated backhaul interface. Finally, mobility load balancing as one of the most important self-optimization issues for Long Term Evolution networks is discussed, and a distributed MLB algorithm with low handover cost is proposed and evaluated.

  • 2. Hu, Xiping
    et al.
    Li, Xitong
    Ngai, Edith C.-H.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Leung, Victor C. M.
    Kruchten, Philippe
    Multidimensional context-aware social network architecture for mobile crowdsensing2014In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 52, no 6, p. 78-87Article in journal (Refereed)
  • 3. Jungnickel, Volker
    et al.
    Manolakis, Konstantinos
    Zirwas, Wolfgang
    Panzner, Berthold
    Braun, Volker
    Lossow, Moritz
    Sternad, Mikael
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
    Apelfröjd, Rikke
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
    Svensson, Tommy
    Inst för signaler och system, CTH, Göteborg.
    The role of small cells, coordinated multi-point and massive MIMO in 5G2014In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 52, no 5, p. 44-51Article in journal (Refereed)
    Abstract [en]

    5G will have to support a multitude of new applications with a wide variety of requirements, including higher peak and user data rates, reduced latency, enhanced indoor coverage, increased number of devices, and so on. The expected traffic growth in 10 or more years from now can be satisfied by the combined use of more spectrum, higher spectral efficiency, and densification of cells. The focus of the present article is on advanced techniques for higher spectral efficiency and improved coverage for cell edge users. We propose a smart combination of small cells, joint transmission coordinated multipoint (JT CoMP), and massive MIMO to enhance the spectral efficiency with affordable complexity. We review recent achievements in the transition from theoretical to practical concepts and note future research directions. We show in measurements with macro-plus-small-cell scenarios that spectral efficiency can be improved by flexible clustering and efficient user selection, and that adaptive feedback compression is beneficial to reduce the overhead significantly. Moreover, we show in measurements that fast feedback reporting combined with advanced channel prediction are able to mitigate the impairment effects of JT CoMP.

  • 4.
    Mukherjee, Amitav
    et al.
    Ericsson Res, San Jose, CA USA.;Hitachi Amer Ltd, Santa Clara, CA USA..
    Cheng, Jung-Fu
    Ericsson Silicon Valley, Res & Dev Adv Wireless Commun Technol, Santa Clara, CA USA..
    Falahati, Sorour
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group. Ericsson Res, Stockholm, Sweden..
    Koorapaty, Havish
    Ericsson Res, Stockholm, Sweden..
    Kang, Du Ho
    Ericsson Res, Stockholm, Sweden.;METIS II, EU Flagship Project 5G, Stockholm, Sweden..
    Karaki, Reem
    Ericsson Germany, Radio Protocols, Berlin, Germany..
    Falconetti, Laetitia
    Ericsson Res, Radio Network Algorithms Grp, Kista, Sweden..
    Larsson, Daniel
    LTE Unlicensed Spectrum, Kista, Sweden.;Ericsson 3GPP RAN WG1 4G & 5G Technol, Kista, Sweden..
    Licensed-Assisted Access LTE: Coexistence with IEEE 802.11 and the Evolution toward 5G2016In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 54, no 6, p. 50-57Article in journal (Refereed)
    Abstract [en]

    LAA is a new operation mode of LTE in the unlicensed spectrum, which will be featured in LTE Release 13. Under LAA, licensed carriers will be aggregated with unlicensed carriers in order to opportunistically enhance downlink user throughput while still offering seamless mobility support. In order to coexist with WiFi, some of the new functionalities required of LAA LTE include a mechanism for channel sensing based on listen-before-talk, discontinuous transmission on a carrier with limited maximum transmission duration, and multicarrier transmission across multiple unlicensed channels. This article presents a detailed overview of the design agreements for LAA, the impact of unlicensed spectrum operation on the LTE physical layer architecture, and the scope of additional enhancements beyond LTE Release 13. A range of simulations for indoor and multicarrier scenarios show that fair coexistence between LAA and WiFi can be achieved, and that deployment of LAA can provide a boost in WiFi performance.

  • 5.
    Sui, Yutao
    et al.
    Signals and Systems, CTH, Göteborg.
    Vihriälä, Jaakko
    Nokia Siemens Networks.
    Papadogiannis, Agsilaos
    Signals and Systems, CTH, Göteborg.
    Sternad, Mikael
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
    Yang, Wei
    Signals and Systems, CTH, Göteborg.
    Svensson, Tommy
    Signals and Systems, CTH, Göteborg.
    Moving cells: A promising solution to boost performance for vehicular users2013In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 51, no 6, p. 62-68Article in journal (Refereed)
    Abstract [en]

    In future wireless networks, a significant number of users accessing wireless broadband will be vehicular (i.e., in public transportation vehicles like buses, trams, or trains). The Third Generation Partnership Project has started to investigate how to serve these vehicular users cost-effectively, and several solutions have been proposed. One promising solution is to deploy a moving relay node (MRN), on a public transportation vehicle that forms its own cell inside the vehicle to serve vehicular users. By proper antenna placement, an MRN can reduce or even eliminate the vehicular penetration loss that affects communication. Moreover, MRNs can exploit various smart antenna techniques and advanced signal processing schemes, as they are less limited by size and power than regular user equipment. However, there are also challenges in using MRNs, such as designing efficient interference management techniques as well as proper mobility management schemes to exploit the benefit of group handovers for vehicular UE devices served by the same MRN. Nevertheless, initial system-level evaluation results indicate that a dedicated MRN deployment shows great potential to improve the vehicular user experience, and thereby can potentially bring significant benefits to future wireless communication systems.

  • 6.
    Van Haute, Tom
    et al.
    Ghent University.
    De Poorter, Eli
    Ghent University.
    Lemic, Filip
    TU Berlin.
    Handziski, Vlado
    TU Berlin.
    Wirström, Niklas
    SICS.
    Voigt, Thiemo
    SICS.
    Wolisz, Adam
    TU Berlin.
    Moerman, Ingrid
    Ghent University.
    Platform for Benchmarking of RF-based Indoor Localization Solutions2015In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896Article in journal (Refereed)
  • 7.
    Wang, Xiaojie
    et al.
    NeuSoft Corp, Shenyang, Liaoning, Peoples R China; Dalian Univ Technol, Sch Software, Dalian, Peoples R China.
    Ning, Zhaolong
    Dalian Univ Technol, Sch Software, Dalian, Peoples R China; Kyushu Univ, Fukuoka, Fukuoka, Japan.
    Hu, Xiping
    Chinese Acad Sci, Shenzhen Inst Adv Technol, Beijing, Peoples R China.
    Ngai, Edith
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. Imperial Coll London, London, England.
    Wang, Lei
    Dalian Univ Technol, Sch Software, Dalian, Peoples R China; Bell Labs Res China, Shanghai, Peoples R China; Samsung, Seoul, South Korea; Washington State Univ, Vancouver, WA USA.
    Hu, Bin
    Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou, Gansu, Peoples R China; Tsinghua Univ, Beijing, Peoples R China; Swiss Fed Inst Technol, Zurich, Switzerland; ACM China, Beijing, Peoples R China.
    Kwok, Ricky
    Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China; HKIE, Hong Kong, Hong Kong, Peoples R China; IET, Hong Kong, Hong Kong, Peoples R China.
    A City-Wide Real-Time Traffic Management System: Enabling Crowdsensing in Social Internet of Vehicles2018In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 56, no 9, p. 19-25Article in journal (Refereed)
    Abstract [en]

    As an emerging platform based on ITS, SIoV is promising for applications of traffic management and road safety in smart cities. However, the end-to-end delay is large in store-carry-and-forward-based vehicular networks, which has become the main obstacle for the implementation of large-scale SIoV. With the extensive applications of mobile devices, crowdsensing is promising to enable real-time content dissemination in a city-wide traffic management system. This article first provides an overview of several promising research areas for traffic management in SIoV. Given the significance of traffic management in urban areas, we investigate a crowdsensing-based framework to provide timely response for traffic management in heterogeneous SIoV. The participant vehicles based on D2D communications integrate trajectory and topology information to dynamically regulate their social behaviors according to network conditions. A real-world taxi trajectory analysis-based performance evaluation is provided to demonstrate the effectiveness of the designed framework. Furthermore, we discuss several future research challenges before concluding our work.

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