EICIC configuration of downlink and uplink decoupling with SWIPT in 5G dense IoT HetNets
Interference management and power transfer can provide a significant improvement over the 5th generation mobile networks (5G) dense Internet of Things (IoT) heterogeneous networks (HetNets). In this paper, we present a novel approach to simultaneously manage inferences at the downlink (DL) and uplin...
Main Authors: | , , , , , , , |
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Format: | Journal Article |
Language: | English |
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2022
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Online Access: | https://hdl.handle.net/10356/162971 |
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author | Zheng, Jie Gao, Ling Zhang, Haijun Niyato, Dusit Ren, Jie Wang, Hai Guo, Hongbo Wang, Zheng |
author2 | School of Computer Science and Engineering |
author_facet | School of Computer Science and Engineering Zheng, Jie Gao, Ling Zhang, Haijun Niyato, Dusit Ren, Jie Wang, Hai Guo, Hongbo Wang, Zheng |
author_sort | Zheng, Jie |
collection | NTU |
description | Interference management and power transfer can provide a significant improvement over the 5th generation mobile networks (5G) dense Internet of Things (IoT) heterogeneous networks (HetNets). In this paper, we present a novel approach to simultaneously manage inferences at the downlink (DL) and uplink (UL), and to identify opportunities for power transfer and additional UL transmissions integrated with existing protocols and infrastructures for enhanced inter-cell interference coordination (eICIC) protocol in dense IoT HetNets, while considering practical non-linear energy harvesting (EH) model. The design is formulated as the joint optimization of interference aware UL/DL decoupling, airtime resource allocation and energy transfer. The key insight of our algorithm is to translate the original, intractable joint-optimization problem into a problem space where a good approximate solution can be quickly found. We evaluate our scheme through theoretical analysis and simulation. The evaluation shows that our approach improves the system utility by over 20% compared to start-of-the-art in dense IoT HetNets. Compared to alternative schemes, our approach maintains the best user fairness and rate experience and can solve the problem in a fast and scalable way. |
first_indexed | 2024-10-01T03:34:08Z |
format | Journal Article |
id | ntu-10356/162971 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T03:34:08Z |
publishDate | 2022 |
record_format | dspace |
spelling | ntu-10356/1629712022-11-14T04:08:42Z EICIC configuration of downlink and uplink decoupling with SWIPT in 5G dense IoT HetNets Zheng, Jie Gao, Ling Zhang, Haijun Niyato, Dusit Ren, Jie Wang, Hai Guo, Hongbo Wang, Zheng School of Computer Science and Engineering Engineering::Computer science and engineering Enhanced Inter-Cell Interference Coordination Internet of Things Interference management and power transfer can provide a significant improvement over the 5th generation mobile networks (5G) dense Internet of Things (IoT) heterogeneous networks (HetNets). In this paper, we present a novel approach to simultaneously manage inferences at the downlink (DL) and uplink (UL), and to identify opportunities for power transfer and additional UL transmissions integrated with existing protocols and infrastructures for enhanced inter-cell interference coordination (eICIC) protocol in dense IoT HetNets, while considering practical non-linear energy harvesting (EH) model. The design is formulated as the joint optimization of interference aware UL/DL decoupling, airtime resource allocation and energy transfer. The key insight of our algorithm is to translate the original, intractable joint-optimization problem into a problem space where a good approximate solution can be quickly found. We evaluate our scheme through theoretical analysis and simulation. The evaluation shows that our approach improves the system utility by over 20% compared to start-of-the-art in dense IoT HetNets. Compared to alternative schemes, our approach maintains the best user fairness and rate experience and can solve the problem in a fast and scalable way. This work was supported in part by the National Natural Science Foundation of China under Grant 61701400, Grant 62072362, Grant 61822104, and Grant 61771044; in part by the International Science and Technology Cooperation Project of Shannxi under Grant 2020KW-006; in part by the Fundamental Research Funds for the Central Universities under Grant FRF-TP-19-002C1 and Grant RC1631; and in part by the Beijing Top Discipline for Artificial Intelligent Science and Engineering, University of Science and Technology Beijing. 2022-11-14T04:08:42Z 2022-11-14T04:08:42Z 2021 Journal Article Zheng, J., Gao, L., Zhang, H., Niyato, D., Ren, J., Wang, H., Guo, H. & Wang, Z. (2021). EICIC configuration of downlink and uplink decoupling with SWIPT in 5G dense IoT HetNets. IEEE Transactions On Wireless Communications, 20(12), 8274-8287. https://dx.doi.org/10.1109/TWC.2021.3091639 1536-1276 https://hdl.handle.net/10356/162971 10.1109/TWC.2021.3091639 2-s2.0-85112154401 12 20 8274 8287 en IEEE Transactions on Wireless Communications © 2021 IEEE. All rights reserved. |
spellingShingle | Engineering::Computer science and engineering Enhanced Inter-Cell Interference Coordination Internet of Things Zheng, Jie Gao, Ling Zhang, Haijun Niyato, Dusit Ren, Jie Wang, Hai Guo, Hongbo Wang, Zheng EICIC configuration of downlink and uplink decoupling with SWIPT in 5G dense IoT HetNets |
title | EICIC configuration of downlink and uplink decoupling with SWIPT in 5G dense IoT HetNets |
title_full | EICIC configuration of downlink and uplink decoupling with SWIPT in 5G dense IoT HetNets |
title_fullStr | EICIC configuration of downlink and uplink decoupling with SWIPT in 5G dense IoT HetNets |
title_full_unstemmed | EICIC configuration of downlink and uplink decoupling with SWIPT in 5G dense IoT HetNets |
title_short | EICIC configuration of downlink and uplink decoupling with SWIPT in 5G dense IoT HetNets |
title_sort | eicic configuration of downlink and uplink decoupling with swipt in 5g dense iot hetnets |
topic | Engineering::Computer science and engineering Enhanced Inter-Cell Interference Coordination Internet of Things |
url | https://hdl.handle.net/10356/162971 |
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