Massive Multiple Input Massive Multiple Output for 5G Wireless Backhauling
Dinh-Thuy Phan-Huy, Philippe Ratajczak, Raffaele D'Errico, Jan, Jarvelainen, Di Kong, Katsuyuki Haneda, Berna Bulut, Aki Karttunen, Mark, Beach, Evangelos Mellios, Mario Castaneda, Mythri Hunukumbure, Tommy Svensson

TL;DR
This paper introduces a novel massive MIMO technique for 5G wireless backhauling that achieves high spectral efficiency with low complexity, validated through realistic simulations.
Contribution
A new low-complexity spatial multiplexing scheme for massive MIMO in 5G backhauling, demonstrating near-optimal spectral efficiency in realistic environments.
Findings
Achieves 1.6 kbits/sec/Hz spectral efficiency in simulations
Attains 80% of SVD performance with significantly reduced complexity
Effective in line-of-sight, short-range deployments
Abstract
In this paper, we propose a new technique for the future fifth generation cellular network wireless backhauling. We show that hundreds of bits per second per Hertz (bits per second per Hz) of spectral efficiency can be attained at a high carrier frequency (such as 26 GHz) between large antenna arrays deployed along structures (such as lamp posts) that are close and roughly parallel to each other. Hundreds of data streams are spatially multiplexed through a short range and line of sight massive multiple input massive multiple output propagation channel thanks to a new low complexity spatial multiplexing scheme, called block discrete Fourier transform based spatial multiplexing with maximum ratio transmission. Its performance in real and existing environments is assessed using accurate ray-tracing tools and antenna models. In the best simulated scenario, 1.6 kbits per second per Hz of…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Power Line Communications and Noise · Advanced MIMO Systems Optimization
