Noncoplanar Geometry for Mobile NLOS MIMO Ultraviolet Communication With Linear Complexity Signal Detection
In this paper, we take a first step toward the mobile support for nonline-of-sight ultraviolet (UV) links by introducing a mesh UV network framework. Spatial multiplexing noncoplanar multiple-input-multiple-output (MIMO) UV system architecture is designed geometrically for the mobile mesh network to...
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IEEE
2017-01-01
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Series: | IEEE Photonics Journal |
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Online Access: | https://ieeexplore.ieee.org/document/8013785/ |
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author | Heng Qin Yong Zuo Feiyu Li Risheng Cong Lingchao Meng Jian Wu |
author_facet | Heng Qin Yong Zuo Feiyu Li Risheng Cong Lingchao Meng Jian Wu |
author_sort | Heng Qin |
collection | DOAJ |
description | In this paper, we take a first step toward the mobile support for nonline-of-sight ultraviolet (UV) links by introducing a mesh UV network framework. Spatial multiplexing noncoplanar multiple-input-multiple-output (MIMO) UV system architecture is designed geometrically for the mobile mesh network to overcome the data rate bottleneck induced by scattered UV channel. Based on the MIMO UV channel characteristics, we further propose a modified sphere decoding (SD) method to accomplish MIMO signal detection in practical spatial correlated channels at a linear computational complexity. We evaluate mobile MIMO channel responses under various geometric parameters and the feasibility of this system geometry in <inline-formula><tex-math notation="LaTeX">$2 \times 2$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$4 \times 4$</tex-math></inline-formula> cases. Comparison of the bit error rates (BERs) between the modified SD, zero forcing, and SD is also done. Numerical results demonstrate that compared with the traditional linear array system structure, fully multiplexing is much easier via the noncoplanar MIMO geometry under very realistic parameters and the modified SD significantly improves the MIMO signal detection complexity with bit BER performance loss. |
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format | Article |
id | doaj.art-e4e9b1d9a48c4c16965dcc287b237fda |
institution | Directory Open Access Journal |
issn | 1943-0655 |
language | English |
last_indexed | 2024-12-14T10:21:05Z |
publishDate | 2017-01-01 |
publisher | IEEE |
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series | IEEE Photonics Journal |
spelling | doaj.art-e4e9b1d9a48c4c16965dcc287b237fda2022-12-21T23:06:36ZengIEEEIEEE Photonics Journal1943-06552017-01-019511210.1109/JPHOT.2017.27425448013785Noncoplanar Geometry for Mobile NLOS MIMO Ultraviolet Communication With Linear Complexity Signal DetectionHeng Qin0Yong Zuo1Feiyu Li2Risheng Cong3Lingchao Meng4Jian Wu5State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, ChinaIn this paper, we take a first step toward the mobile support for nonline-of-sight ultraviolet (UV) links by introducing a mesh UV network framework. Spatial multiplexing noncoplanar multiple-input-multiple-output (MIMO) UV system architecture is designed geometrically for the mobile mesh network to overcome the data rate bottleneck induced by scattered UV channel. Based on the MIMO UV channel characteristics, we further propose a modified sphere decoding (SD) method to accomplish MIMO signal detection in practical spatial correlated channels at a linear computational complexity. We evaluate mobile MIMO channel responses under various geometric parameters and the feasibility of this system geometry in <inline-formula><tex-math notation="LaTeX">$2 \times 2$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$4 \times 4$</tex-math></inline-formula> cases. Comparison of the bit error rates (BERs) between the modified SD, zero forcing, and SD is also done. Numerical results demonstrate that compared with the traditional linear array system structure, fully multiplexing is much easier via the noncoplanar MIMO geometry under very realistic parameters and the modified SD significantly improves the MIMO signal detection complexity with bit BER performance loss.https://ieeexplore.ieee.org/document/8013785/Non-line-of-sight ultraviolet communicationspatial multiplexingmodified SD detection. |
spellingShingle | Heng Qin Yong Zuo Feiyu Li Risheng Cong Lingchao Meng Jian Wu Noncoplanar Geometry for Mobile NLOS MIMO Ultraviolet Communication With Linear Complexity Signal Detection IEEE Photonics Journal Non-line-of-sight ultraviolet communication spatial multiplexing modified SD detection. |
title | Noncoplanar Geometry for Mobile NLOS MIMO Ultraviolet Communication With Linear Complexity Signal Detection |
title_full | Noncoplanar Geometry for Mobile NLOS MIMO Ultraviolet Communication With Linear Complexity Signal Detection |
title_fullStr | Noncoplanar Geometry for Mobile NLOS MIMO Ultraviolet Communication With Linear Complexity Signal Detection |
title_full_unstemmed | Noncoplanar Geometry for Mobile NLOS MIMO Ultraviolet Communication With Linear Complexity Signal Detection |
title_short | Noncoplanar Geometry for Mobile NLOS MIMO Ultraviolet Communication With Linear Complexity Signal Detection |
title_sort | noncoplanar geometry for mobile nlos mimo ultraviolet communication with linear complexity signal detection |
topic | Non-line-of-sight ultraviolet communication spatial multiplexing modified SD detection. |
url | https://ieeexplore.ieee.org/document/8013785/ |
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