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Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches?

IEEE Access · 2016 · Vol. 4 · pp. 247–267
Roi Méndez-RialCristian RusuNuria González‐PrelcicAhmed AlkhateebRobert W. Heath

Abstract

Hybrid analog/digital multiple-input multiple-output architectures were recently proposed as an alternative for fully digital-precoding in millimeter wave wireless communication systems. This is motivated by the possible reduction in the number of RF chains and analog-to-digital converters. In these architectures, the analog processing network is usually based on variable phase shifters. In this paper, we propose hybrid architectures based on switching networks to reduce the complexity and the power consumption of the structures based on phase shifters. We define a power consumption model and use it to evaluate the energy efficiency of both structures. To estimate the complete MIMO channel, we propose an open-loop compressive channel estimation technique that is independent of the hardware used in the analog processing stage. We analyze the performance of the new estimation algorithm for hybrid architectures based on phase shifters and switches. Using the estimate, we develop two algorithms for the design of the hybrid combiner based on switches and analyze the achieved spectral efficiency. Finally, we study the tradeoffs between power consumption, hardware complexity, and spectral efficiency for hybrid architectures based on phase shifting networks and switching networks. Numerical results show that architectures based on switches obtain equal or better channel estimation performance to that obtained using phase shifters, while reducing hardware complexity and power consumption. For equal power consumption, all the hybrid architectures provide similar spectral efficiencies.

Millimeter-Wave Propagation and ModelingAdvanced MIMO Systems OptimizationMicrowave Engineering and WaveguidesComputer scienceElectronic engineeringMIMOPrecodingSpectral efficiencyExtremely high frequencyWirelessConvertersRadio frequencyChannel (broadcasting)

Funding

  • National Science Foundation
  • Nokia
Citations
899
FWCI
64.88
field-weighted impact
References
95
Percentile
100%
vs. same field & year
Citations per year
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Spatially Sparse Precoding in Millimeter Wave MIMO Systems
IEEE Transactions on Wireless Communications · 2014 · 3,631 citations
What Will 5G Be?
IEEE Journal on Selected Areas in Communications · 2014 · 8,099 citations
Antenna selection in MIMO systems
IEEE Communications Magazine · 2004 · 897 citations
An introduction to millimeter-wave mobile broadband systems
IEEE Communications Magazine · 2011 · 2,603 citations
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