Nonorthogonal Multiple Access for Visible Light Communication IoT Networks
In this study, we investigated the nonorthogonal multiple access (NOMA) for visible light communication (VLC) Internet of Things (IoT) networks and provided a promising system design for 5G and beyond 5G applications. Specifically, we studied the capacity region of a practical uplink NOMA for multip...
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doaj-df17873e8ef940ec87402cddffb012592020-11-25T03:09:31ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772020-01-01202010.1155/2020/57914365791436Nonorthogonal Multiple Access for Visible Light Communication IoT NetworksChun Du0Shuai Ma1Yang He2Songtao Lu3Hang Li4Han Zhang5Shiyin Li6School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaIBM Research AI, IBM Thomas J. Watson Research Center, Yorktown Heights, New York 10598, USAShenzhen Research Institute of Big Data, Shenzhen 518172, ChinaDepartment of Electrical and Computer Engineering, University of California, Davis, CA 95616, USASchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaIn this study, we investigated the nonorthogonal multiple access (NOMA) for visible light communication (VLC) Internet of Things (IoT) networks and provided a promising system design for 5G and beyond 5G applications. Specifically, we studied the capacity region of a practical uplink NOMA for multiple IoT devices with discrete and continuous inputs, respectively. For discrete inputs, we proposed an entropy approximation method to approach the channel capacity and obtain the discrete inner and outer bounds. For the continuous inputs, we derived the inner and outer bounds in closed forms. Based on these results, we further investigated the optimal receiver beamforming design for the multiple access channel (MAC) of VLC IoT networks to maximize the minimum uplink rate under receiver power constraints. By exploiting the structure of the achievable rate expressions, we showed that the optimal beamformers are the generalized eigenvectors corresponding to the largest generalized eigenvalues. Numerical results show the tightness of the proposed capacity regions and the superiority of the proposed beamformers for VLC IoT networks.http://dx.doi.org/10.1155/2020/5791436 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chun Du Shuai Ma Yang He Songtao Lu Hang Li Han Zhang Shiyin Li |
spellingShingle |
Chun Du Shuai Ma Yang He Songtao Lu Hang Li Han Zhang Shiyin Li Nonorthogonal Multiple Access for Visible Light Communication IoT Networks Wireless Communications and Mobile Computing |
author_facet |
Chun Du Shuai Ma Yang He Songtao Lu Hang Li Han Zhang Shiyin Li |
author_sort |
Chun Du |
title |
Nonorthogonal Multiple Access for Visible Light Communication IoT Networks |
title_short |
Nonorthogonal Multiple Access for Visible Light Communication IoT Networks |
title_full |
Nonorthogonal Multiple Access for Visible Light Communication IoT Networks |
title_fullStr |
Nonorthogonal Multiple Access for Visible Light Communication IoT Networks |
title_full_unstemmed |
Nonorthogonal Multiple Access for Visible Light Communication IoT Networks |
title_sort |
nonorthogonal multiple access for visible light communication iot networks |
publisher |
Hindawi-Wiley |
series |
Wireless Communications and Mobile Computing |
issn |
1530-8669 1530-8677 |
publishDate |
2020-01-01 |
description |
In this study, we investigated the nonorthogonal multiple access (NOMA) for visible light communication (VLC) Internet of Things (IoT) networks and provided a promising system design for 5G and beyond 5G applications. Specifically, we studied the capacity region of a practical uplink NOMA for multiple IoT devices with discrete and continuous inputs, respectively. For discrete inputs, we proposed an entropy approximation method to approach the channel capacity and obtain the discrete inner and outer bounds. For the continuous inputs, we derived the inner and outer bounds in closed forms. Based on these results, we further investigated the optimal receiver beamforming design for the multiple access channel (MAC) of VLC IoT networks to maximize the minimum uplink rate under receiver power constraints. By exploiting the structure of the achievable rate expressions, we showed that the optimal beamformers are the generalized eigenvectors corresponding to the largest generalized eigenvalues. Numerical results show the tightness of the proposed capacity regions and the superiority of the proposed beamformers for VLC IoT networks. |
url |
http://dx.doi.org/10.1155/2020/5791436 |
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