Citation:
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
|
Abstract:
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.
|