Massive Multiple Input Massive Multiple Output for 5G Wireless Backhauling

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A4 Artikkeli konferenssijulkaisussa

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en

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6

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2017 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), IEEE Globecom Workshops

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In this paper, we propose a new technique for the future fifth generation (5G) cellular network wireless backhauling. We show that hundreds of data streams can be spatially multiplexed through a short range and line of sight "massive multiple input massive multiple output" (MMIMMO) propagation channel thanks to a new low complexity spatial multiplexing scheme, called "block discrete Fourier transform based spatial multiplexing with maximum ratio transmission" (B-DFT-SM-MRT). Its performance in real and existing environments is assessed using ray-tracing tools and advanced antenna models. 1.6 kbits/s/Hz of spectral efficiency is attained, corresponding to 80% of Singular Value Decomposition performance, with a transmitter and a receiver that are 200 and 10,000 times less complex, respectively.

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Phan-Huy, D -T, Ratajczak, P, D'Errico, R, Järveläinen, J, Kong, D, Haneda, K, Bulut, B, Karttunen, A, Beach, M, Mellios, E, Castaneda, M, Hunukumbure, M & Svensson, T 2017, Massive Multiple Input Massive Multiple Output for 5G Wireless Backhauling. in 2017 IEEE GLOBECOM WORKSHOPS (GC WKSHPS). IEEE Globecom Workshops, IEEE, IEEE Global Communications Conference, Singapore, Singapore, 04/12/2017. https://doi.org/10.1109/GLOCOMW.2017.8269171