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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Main Authors: Heng Qin, Yong Zuo, Feiyu Li, Risheng Cong, Lingchao Meng, Jian Wu
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Photonics Journal
Subjects:
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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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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