IEICE TRANSACTIONS on Communications
Low Complexity Millimeter-Wave LOS-MIMO Systems with Uniform Circular Arrays for Small Cells Wireless Backhaul
Summary :
The dramatic growth in wireless data traffic has triggered the investigation of fifth generation (5G) wireless communication systems. Small cells will play a very important role in 5G to meet the 5G requirements in spectral efficiency, energy savings, etc. In this paper, we investigate low complexity millimeter-wave communication systems with uniform circular arrays (UCAs) in line-of-sight (LOS) multiple-input multiple-output (MIMO) channels, which are used in fixed wireless access such as small cell wireless backhaul for 5G. First, we demonstrate that the MIMO channel matrices for UCAs in LOS-MIMO channels are circulant matrices. Next, we provide a detailed derivation of the unified optimal antenna placement which makes MIMO channel matrices orthogonal for 3×3 and 4×4 UCAs in LOS channels. We also derive simple analytical expressions of eigenvalues and capacity as a function of array design (link range and array diameters) for the concerned systems. Finally, based on the properties of circulant matrices, we propose a high performance low complexity LOS-MIMO precoding system that combines forward error correction (FEC) codes and spatial interleaver with the fixed IDFT precoding matrix. The proposed precoding system for UCAs does not require the channel knowledge for estimating the precoding matrix at the transmitter under the LOS condition, since the channel matrices are circulant ones for UCAs. Simulation results show that the proposed low complexity system is robust to various link ranges and can attain excellent performance in strong LOS environments and channel estimation errors.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E98-B No.11 pp.2348-2358
- Publication Date
- 2015/11/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E98.B.2348
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Liang ZHOU
Fujitsu Laboratories Ltd.
Yoji OHASHI
Fujitsu Laboratories Ltd.
Makoto YOSHIDA
Fujitsu Laboratories Ltd.
Keyword
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Liang ZHOU, Yoji OHASHI, Makoto YOSHIDA, "Low Complexity Millimeter-Wave LOS-MIMO Systems with Uniform Circular Arrays for Small Cells Wireless Backhaul" in IEICE TRANSACTIONS on Communications,
vol. E98-B, no. 11, pp. 2348-2358, November 2015, doi: 10.1587/transcom.E98.B.2348.
Abstract: The dramatic growth in wireless data traffic has triggered the investigation of fifth generation (5G) wireless communication systems. Small cells will play a very important role in 5G to meet the 5G requirements in spectral efficiency, energy savings, etc. In this paper, we investigate low complexity millimeter-wave communication systems with uniform circular arrays (UCAs) in line-of-sight (LOS) multiple-input multiple-output (MIMO) channels, which are used in fixed wireless access such as small cell wireless backhaul for 5G. First, we demonstrate that the MIMO channel matrices for UCAs in LOS-MIMO channels are circulant matrices. Next, we provide a detailed derivation of the unified optimal antenna placement which makes MIMO channel matrices orthogonal for 3×3 and 4×4 UCAs in LOS channels. We also derive simple analytical expressions of eigenvalues and capacity as a function of array design (link range and array diameters) for the concerned systems. Finally, based on the properties of circulant matrices, we propose a high performance low complexity LOS-MIMO precoding system that combines forward error correction (FEC) codes and spatial interleaver with the fixed IDFT precoding matrix. The proposed precoding system for UCAs does not require the channel knowledge for estimating the precoding matrix at the transmitter under the LOS condition, since the channel matrices are circulant ones for UCAs. Simulation results show that the proposed low complexity system is robust to various link ranges and can attain excellent performance in strong LOS environments and channel estimation errors.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E98.B.2348/_p
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@ARTICLE{e98-b_11_2348,
author={Liang ZHOU, Yoji OHASHI, Makoto YOSHIDA, },
journal={IEICE TRANSACTIONS on Communications},
title={Low Complexity Millimeter-Wave LOS-MIMO Systems with Uniform Circular Arrays for Small Cells Wireless Backhaul},
year={2015},
volume={E98-B},
number={11},
pages={2348-2358},
abstract={The dramatic growth in wireless data traffic has triggered the investigation of fifth generation (5G) wireless communication systems. Small cells will play a very important role in 5G to meet the 5G requirements in spectral efficiency, energy savings, etc. In this paper, we investigate low complexity millimeter-wave communication systems with uniform circular arrays (UCAs) in line-of-sight (LOS) multiple-input multiple-output (MIMO) channels, which are used in fixed wireless access such as small cell wireless backhaul for 5G. First, we demonstrate that the MIMO channel matrices for UCAs in LOS-MIMO channels are circulant matrices. Next, we provide a detailed derivation of the unified optimal antenna placement which makes MIMO channel matrices orthogonal for 3×3 and 4×4 UCAs in LOS channels. We also derive simple analytical expressions of eigenvalues and capacity as a function of array design (link range and array diameters) for the concerned systems. Finally, based on the properties of circulant matrices, we propose a high performance low complexity LOS-MIMO precoding system that combines forward error correction (FEC) codes and spatial interleaver with the fixed IDFT precoding matrix. The proposed precoding system for UCAs does not require the channel knowledge for estimating the precoding matrix at the transmitter under the LOS condition, since the channel matrices are circulant ones for UCAs. Simulation results show that the proposed low complexity system is robust to various link ranges and can attain excellent performance in strong LOS environments and channel estimation errors.},
keywords={},
doi={10.1587/transcom.E98.B.2348},
ISSN={1745-1345},
month={November},}
Copy
TY - JOUR
TI - Low Complexity Millimeter-Wave LOS-MIMO Systems with Uniform Circular Arrays for Small Cells Wireless Backhaul
T2 - IEICE TRANSACTIONS on Communications
SP - 2348
EP - 2358
AU - Liang ZHOU
AU - Yoji OHASHI
AU - Makoto YOSHIDA
PY - 2015
DO - 10.1587/transcom.E98.B.2348
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E98-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2015
AB - The dramatic growth in wireless data traffic has triggered the investigation of fifth generation (5G) wireless communication systems. Small cells will play a very important role in 5G to meet the 5G requirements in spectral efficiency, energy savings, etc. In this paper, we investigate low complexity millimeter-wave communication systems with uniform circular arrays (UCAs) in line-of-sight (LOS) multiple-input multiple-output (MIMO) channels, which are used in fixed wireless access such as small cell wireless backhaul for 5G. First, we demonstrate that the MIMO channel matrices for UCAs in LOS-MIMO channels are circulant matrices. Next, we provide a detailed derivation of the unified optimal antenna placement which makes MIMO channel matrices orthogonal for 3×3 and 4×4 UCAs in LOS channels. We also derive simple analytical expressions of eigenvalues and capacity as a function of array design (link range and array diameters) for the concerned systems. Finally, based on the properties of circulant matrices, we propose a high performance low complexity LOS-MIMO precoding system that combines forward error correction (FEC) codes and spatial interleaver with the fixed IDFT precoding matrix. The proposed precoding system for UCAs does not require the channel knowledge for estimating the precoding matrix at the transmitter under the LOS condition, since the channel matrices are circulant ones for UCAs. Simulation results show that the proposed low complexity system is robust to various link ranges and can attain excellent performance in strong LOS environments and channel estimation errors.
ER -
English
