Low Complexity Millimeter-Wave LOS-MIMO Systems with Uniform Circular Arrays for Small Cells Wireless Backhaul
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- ZHOU Liang
- Fujitsu Laboratories Ltd.
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- OHASHI Yoji
- Fujitsu Laboratories Ltd.
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- YOSHIDA Makoto
- Fujitsu Laboratories Ltd.
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説明
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.
収録刊行物
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- IEICE Transactions on Communications
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IEICE Transactions on Communications E98.B (11), 2348-2358, 2015
一般社団法人 電子情報通信学会
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詳細情報 詳細情報について
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- CRID
- 1390001204375047552
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- NII論文ID
- 130005106049
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- ISSN
- 17451345
- 09168516
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- 本文言語コード
- en
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- データソース種別
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- JaLC
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