Power Allocation of Non-Orthogonal Multiple Access Based on Dynamic User Priority for Indoor QoS-Guaranteed Visible Light Communication Networks
Non-orthogonal multiple access (NOMA) simultaneously provides multi-user access over the same frequency band or time period, which can significantly improve system throughput in visible light communication (VLC) networks. However, the different interference components of NOMA and the diversified use...
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MDPI AG
2018-07-01
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Online Access: | http://www.mdpi.com/2076-3417/8/8/1219 |
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author | Siyu Tao Hongyi Yu Qing Li Xiangwei Bai Yanqun Tang |
author_facet | Siyu Tao Hongyi Yu Qing Li Xiangwei Bai Yanqun Tang |
author_sort | Siyu Tao |
collection | DOAJ |
description | Non-orthogonal multiple access (NOMA) simultaneously provides multi-user access over the same frequency band or time period, which can significantly improve system throughput in visible light communication (VLC) networks. However, the different interference components of NOMA and the diversified user requirements in VLC are difficult to coordinate. To guarantee both throughput enhancement and quality of service (QoS) satisfaction, this paper presents a power allocation scheme based on dynamic user priority in indoor NOMA-VLC networks. We introduce fuzzy logic (FL) to flexibly analyse user priority and assign signal power using multi-dimensional user features. The experimental results show that our method achieves the best performance in terms of user fairness and satisfaction. In indoor VLC, which has small cells with a high user density, our method outperforms contrastive schemes in terms of the average user data rate (AUDR). Therefore, in comparisons between static and dynamic user priority, our study indicates the fairness advantages of FL for the dynamic evaluation of user priority. In comparisons between NOMA and orthogonal multiple access, our study reflects the AUDR advantages of non-orthogonal methods. Furthermore, in comparisons of user satisfaction, our method outperforms existing methods, indicating the achievement of the QoS guarantee. |
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language | English |
last_indexed | 2024-12-23T19:20:37Z |
publishDate | 2018-07-01 |
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spelling | doaj.art-37ce130381894781aa006ca6d0dfc29c2022-12-21T17:34:10ZengMDPI AGApplied Sciences2076-34172018-07-0188121910.3390/app8081219app8081219Power Allocation of Non-Orthogonal Multiple Access Based on Dynamic User Priority for Indoor QoS-Guaranteed Visible Light Communication NetworksSiyu Tao0Hongyi Yu1Qing Li2Xiangwei Bai3Yanqun Tang4National Digital Switching System Engineering and Technological Research Center (NDSC), Zhengzhou 450001, ChinaNational Digital Switching System Engineering and Technological Research Center (NDSC), Zhengzhou 450001, ChinaNational Digital Switching System Engineering and Technological Research Center (NDSC), Zhengzhou 450001, ChinaNational Digital Switching System Engineering and Technological Research Center (NDSC), Zhengzhou 450001, ChinaNational Digital Switching System Engineering and Technological Research Center (NDSC), Zhengzhou 450001, ChinaNon-orthogonal multiple access (NOMA) simultaneously provides multi-user access over the same frequency band or time period, which can significantly improve system throughput in visible light communication (VLC) networks. However, the different interference components of NOMA and the diversified user requirements in VLC are difficult to coordinate. To guarantee both throughput enhancement and quality of service (QoS) satisfaction, this paper presents a power allocation scheme based on dynamic user priority in indoor NOMA-VLC networks. We introduce fuzzy logic (FL) to flexibly analyse user priority and assign signal power using multi-dimensional user features. The experimental results show that our method achieves the best performance in terms of user fairness and satisfaction. In indoor VLC, which has small cells with a high user density, our method outperforms contrastive schemes in terms of the average user data rate (AUDR). Therefore, in comparisons between static and dynamic user priority, our study indicates the fairness advantages of FL for the dynamic evaluation of user priority. In comparisons between NOMA and orthogonal multiple access, our study reflects the AUDR advantages of non-orthogonal methods. Furthermore, in comparisons of user satisfaction, our method outperforms existing methods, indicating the achievement of the QoS guarantee.http://www.mdpi.com/2076-3417/8/8/1219optical wireless communicationvisible light communication networknon-orthogonal multiple accesspower allocationquality of service guaranteedynamic user priorityfuzzy logic |
spellingShingle | Siyu Tao Hongyi Yu Qing Li Xiangwei Bai Yanqun Tang Power Allocation of Non-Orthogonal Multiple Access Based on Dynamic User Priority for Indoor QoS-Guaranteed Visible Light Communication Networks Applied Sciences optical wireless communication visible light communication network non-orthogonal multiple access power allocation quality of service guarantee dynamic user priority fuzzy logic |
title | Power Allocation of Non-Orthogonal Multiple Access Based on Dynamic User Priority for Indoor QoS-Guaranteed Visible Light Communication Networks |
title_full | Power Allocation of Non-Orthogonal Multiple Access Based on Dynamic User Priority for Indoor QoS-Guaranteed Visible Light Communication Networks |
title_fullStr | Power Allocation of Non-Orthogonal Multiple Access Based on Dynamic User Priority for Indoor QoS-Guaranteed Visible Light Communication Networks |
title_full_unstemmed | Power Allocation of Non-Orthogonal Multiple Access Based on Dynamic User Priority for Indoor QoS-Guaranteed Visible Light Communication Networks |
title_short | Power Allocation of Non-Orthogonal Multiple Access Based on Dynamic User Priority for Indoor QoS-Guaranteed Visible Light Communication Networks |
title_sort | power allocation of non orthogonal multiple access based on dynamic user priority for indoor qos guaranteed visible light communication networks |
topic | optical wireless communication visible light communication network non-orthogonal multiple access power allocation quality of service guarantee dynamic user priority fuzzy logic |
url | http://www.mdpi.com/2076-3417/8/8/1219 |
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