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Integration of Advanced LTE Technology and MIMO Network Based on Adaptive Multi-beam Antennas

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Internet of Things, Smart Spaces, and Next Generation Networking (ruSMART 2012, NEW2AN 2012)

Abstract

In this work, we put a question on integration of the advanced LTE technology and multiple-input multiple-output (MIMO) system for multi-user (MU) multiple access deployment. We analyze such an integrated network based on multi-beam adaptive antennas application for the purposes of increase of spectral efficiency of such a network, rejection of inter-symbol and inter-user interference, as well as minimization of multiplicative noise effects, caused by multipath phenomena (e.g. fading phenomena), on information data sent to each subscriber located in the area of service of such an integrated network. Based on the framework of multi-parametric stochastic approach described "reaction" (or response) of each specific terrain channel, rural, sub-urban, and urban, it is shown that such a combination of LTE technology and MU-MIMO system, based on multi-beam adaptive antennas, can significantly increase capacity and spectral efficiency of each channel, and finally, for a whole system, during the multiple access deployment, as well as can fully mitigate multiplicative noises occurring in terrestrial built-up environments. The corresponding computer experiments and real measurements carried out for specific urban scenarios are presented to proof the proposed approach.

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© 2012 Springer-Verlag Berlin Heidelberg

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Blaunstein, N., Sergeev, M.B. (2012). Integration of Advanced LTE Technology and MIMO Network Based on Adaptive Multi-beam Antennas. In: Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networking. ruSMART NEW2AN 2012 2012. Lecture Notes in Computer Science, vol 7469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32686-8_15

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  • DOI: https://doi.org/10.1007/978-3-642-32686-8_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32685-1

  • Online ISBN: 978-3-642-32686-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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