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Radio Channel Modeling for 4G Networks

  • Chapter
Book cover Pervasive Mobile and Ambient Wireless Communications

Part of the book series: Signals and Communication Technology ((SCT))

Abstract

This chapter is dedicated to radio channel modeling for 4G networks. In addition to recent results in the area of 4G channel modeling at large, including complex environments such as aircrafts, COST 2100 has dealt with a number of specific topics which are presented in this chapter.

  • Improved deterministic methods, including models of diffuse components are detailed in Sect. 3.2. The developed models namely propose new methods to account for macroscopic diffuse scattering in ray-tracing tools.

  • The measurement-based modeling of the same diffuse or dense multipath components has represented one major research topic in COST 2100, especially regarding the extraction of such components from experimental data (Sect. 3.3).

  • Another important topic of research has concerned the modeling of the polarization behavior of wireless channels (see Sect. 3.4), as multipolarized antenna arrays appear more and more as a realistic implementation of MIMO systems.

  • The specific representation and modeling of multilink scenarios is dealt with in Sect. 3.5. Considering the correlations between multiple links is a significant requirement to design robust schemes in cooperative, relay or multihop networks.

  • Finally, the COST 2100 model is presented in Sect. 3.6. Starting from a single-link implementation based on the COST 273 model (available online), it builds upon the work described in this chapter to propose an updated version of the COST 2100 model including enhancements such as diffuse and cross-polar components, as well as multi-link aspects.

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Notes

  1. 1.

    The concept of dominant propagation mechanisms is often applied in channel characterization, see, e.g., [KHH+10, PHS+09, ETM07].

  2. 2.

    The WINNER II channel model provides pathloss model for variety of environments. They are summarized in Table 4 of [KMH+07].

  3. 3.

    The WINNER channel model [KMH+07] provides similar parameters but they describe cross-correlation of global spreads and hence are different from parameters here. The same goes to the autocorrelation distances.

  4. 4.

    For [PHL+10b], parameters from BS1 are shown in the list, and parameters from LOS routes 1 and NLOS route 4 are shown from [ZTW+10].

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Authors and Affiliations

  1. Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium

    Claude Oestges (Chapter Editor)

  2. FTW Forschungszentrum Telekommunikation Wien, Vienna, Austria

    Nicolai Czink

  3. Université libre de Bruxelles, Brussels, Belgium

    Philippe De Doncker & François Quitin

  4. University of Bologna, Bologna, Italy

    Vittorio Degli-Esposti

  5. Aalto University, Espoo, Finland

    Katsuyuki Haneda & Juho Poutanen

  6. Ghent University, Ghent, Belgium

    Wout Joseph & Emmeric Tanghe

  7. University of Lille, Lille, France

    Martine Liénard

  8. Université catholique de Louvain, Louvain-la-Neuve, Belgium

    Lingfeng Liu

  9. Technical University of Cartagena, Cartagena, Spain

    José Molina-García-Pardo

  10. Ilmenau University of Technology, Ilmenau, Germany

    Milan Narandžić

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  1. Claude Oestges
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Correspondence to Claude Oestges .

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  1. Dip. di Elettronica, Informatica e Sist., Università di Bologna, Viale Risorgimento 2, Bologna, 40136, Italy

    Roberto Verdone

  2. IEIIT, Università di Bologna, Viale Risorgimento 2, Bologna, 40136, Italy

    Alberto Zanella

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Oestges, C. et al. (2012). Radio Channel Modeling for 4G Networks. In: Verdone, R., Zanella, A. (eds) Pervasive Mobile and Ambient Wireless Communications. Signals and Communication Technology. Springer, London. https://doi.org/10.1007/978-1-4471-2315-6_3

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