On the spectra efficiency of low-complexity and resolution hybrid precoding and combining transceivers for mmWave MIMO systems
T Millimeter wave (mmWave) multiple-input-multiple-output (MIMO) systems will almost certainly use hybrid precoding to realize beamforming with few numbers of RF chains to reduce energy consumption, but require low complexity technique to improve spectral efficiency. While energy-efficient hybrid...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
IEEE
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/79815/ http://irep.iium.edu.my/79815/1/79815%20On%20the%20Spectral-Efficiency%20of%20Low-Complexity.pdf http://irep.iium.edu.my/79815/2/79815%20On%20the%20Spectral-Efficiency%20of%20Low-Complexity%20WOS.pdf |
| Summary: | T Millimeter wave (mmWave) multiple-input-multiple-output (MIMO) systems will almost
certainly use hybrid precoding to realize beamforming with few numbers of RF chains to reduce energy
consumption, but require low complexity technique to improve spectral efficiency. While energy-efficient
hybrid analog/digital precoders and combiners designs can subdue the high pathloss inherent in mmWave
channels, they assume the use of infinite- (or high-) resolution phase shifters to realize the analog precoder
and combiner pair which results in high hardware cost and power consumption. One promising solution
is to employ the use of low-resolution phase shifters. In this paper, we first diverse the exploration of
multiple candidates of array response vectors, to propose low-complexity hybrid precoder and combiner
(LcHPC) design via stage-determined matching pursuit (SdMP) namely, LcHPC-SdMP for pursuing better
achievable rate for mmWave MIMO systems. We initially decouple the joint optimization over hybrid
precoders and combiners into two separate sparse recovery problems. Specifically, LcHPC-SdMP algorithm
revises the identification step of orthogonal matching pursuit (OMP) to the selection of multiple ‘‘correct’’
column indices of the matrix of array response vectors, per iteration. Then adds a pruning step −after
satisfying a sparsity level condition, to iteratively refine the sparse solution which aids in further accelerating
the algorithm, by requiring fewer iterations. We then propose an algorithm which iteratively designs
low-resolution (two-bit) hybrid analog-digital precoder and combiner (LrHPC), for pursuing efficiency while
maximizing spectral efficiency. Simulation results demonstrate that the proposed LcHPC-SdMP algorithm
performs very close to its full-digital precoding and achieves better spectral efficiency over state-of-the-art
algorithms with a substantially reduced number of iteration than the recently proposed schemes. In addition,
simulation results also reveal that the achievable rate of the proposed LrHPC algorithm is higher than those
of the existing algorithms under consideration. |
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