Massive Multiple Input Massive Multiple Output for 5G Wireless Backhauling

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.

[1]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[2]  Ouyang Shan,et al.  Capacity analysis of high-rank line-of-sight MIMO channels , 2012 .

[3]  M. Rodwell,et al.  Millimeter-wave MIMO : Wireless Links at Optical Speeds , 2006 .

[4]  G.E. Oien,et al.  Optimal Design of Uniform Planar Antenna Arrays for Strong Line-of-Sight MIMO Channels , 2006, 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications.

[5]  Carsten Bockelmann,et al.  D 3. 3 Final performance results and consolidated view on the most promising multi -node/multi -antenna transmission technologies , 2015 .

[6]  Angela Doufexi,et al.  Channel Parameters and Throughput Predictions for mmWave and LTE-A Networks in Urban Environments , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[7]  Sundeep Rangan,et al.  Markov Channel-Based Performance Analysis for Millimeter Wave Mobile Networks , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

[8]  R. M. A. P. Rajatheva,et al.  DFT based spatial multiplexing and maximum ratio transmission for mm-wave large MIMO , 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).

[9]  Mark A Beach,et al.  A 3-D integrated macro and microcellular propagation model, based on the use of photogrammetric terrain and building data , 1997, 1997 IEEE 47th Vehicular Technology Conference. Technology in Motion.

[10]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[11]  Zhouyue Pi,et al.  A millimeter-wave massive MIMO system for next generation mobile broadband , 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

[12]  Georgios B. Giannakis,et al.  Cyclic prefixing or zero padding for wireless multicarrier transmissions? , 2002, IEEE Trans. Commun..

[13]  Katsuyuki Haneda,et al.  Millimeter-Wave Channel Characterization at Helsinki Airport in the 15, 28, and 60 GHz Bands , 2016, 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall).