Optimal downlink power allocation schemes for OFDM-NOMA-based Internet of things
With the continuous development of fifth-generation technology, the number of mobile terminal Internet of Things devices has increased exponentially. How to effectively improve the throughput of fifth-generation systems has become a challenge. In the Internet of Things networks, ultra-dense networks...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2022-01-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/15501477211064741 |
| _version_ | 1797719513627623424 |
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| author | Ya Gao Fei Yu Haoran Zhang Yongpeng Shi Yujie Xia |
| author_facet | Ya Gao Fei Yu Haoran Zhang Yongpeng Shi Yujie Xia |
| author_sort | Ya Gao |
| collection | DOAJ |
| description | With the continuous development of fifth-generation technology, the number of mobile terminal Internet of Things devices has increased exponentially. How to effectively improve the throughput of fifth-generation systems has become a challenge. In the Internet of Things networks, ultra-dense networks and non-orthogonal multiple access technology have drawn extensive attention in recent years, because they can achieve multiplexing from the space domain and power domain. To improve the throughput of the system, this article combines non-orthogonal multiple access with ultra-dense networks technology and considers the orthogonal frequency division multiplexing non-orthogonal multiple access–based ultra-dense networks with multiple base stations and multiple Internet of Things devices. In particular, first, we build the network model and channel model. Second, we construct the downlink transmission rate maximizing problem subject to the total power. Then, to solve this problem, we divide it into three sub-problems: device grouping, inter-sub-band power allocation, and intra-sub-band power allocation problems. Solving these sub-problems, we obtain the optimal power allocation schemes by jointly employing channel-state sorting–pairing algorithm, water-filling algorithm, and convex optimization theory. Finally, numerical simulations are conducted to validate the performance of our proposed optimal downlink power allocation scheme. Experimental results show that the total throughput of the system has been significantly improved. |
| first_indexed | 2024-03-12T09:05:55Z |
| format | Article |
| id | doaj.art-88c7bda5c706434093610ddafed7fa06 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T09:05:55Z |
| publishDate | 2022-01-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-88c7bda5c706434093610ddafed7fa062023-09-02T15:18:28ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772022-01-011810.1177/15501477211064741Optimal downlink power allocation schemes for OFDM-NOMA-based Internet of thingsYa Gao0Fei Yu1Haoran Zhang2Yongpeng Shi3Yujie Xia4Henan Key Laboratory for Big Data Processing and Analytics of Electronic Commerce, Luoyang Normal University, Luoyang, ChinaSchool of Communications and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an, ChinaSchool of Communications and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an, ChinaHenan Key Laboratory for Big Data Processing and Analytics of Electronic Commerce, Luoyang Normal University, Luoyang, ChinaHenan Key Laboratory for Big Data Processing and Analytics of Electronic Commerce, Luoyang Normal University, Luoyang, ChinaWith the continuous development of fifth-generation technology, the number of mobile terminal Internet of Things devices has increased exponentially. How to effectively improve the throughput of fifth-generation systems has become a challenge. In the Internet of Things networks, ultra-dense networks and non-orthogonal multiple access technology have drawn extensive attention in recent years, because they can achieve multiplexing from the space domain and power domain. To improve the throughput of the system, this article combines non-orthogonal multiple access with ultra-dense networks technology and considers the orthogonal frequency division multiplexing non-orthogonal multiple access–based ultra-dense networks with multiple base stations and multiple Internet of Things devices. In particular, first, we build the network model and channel model. Second, we construct the downlink transmission rate maximizing problem subject to the total power. Then, to solve this problem, we divide it into three sub-problems: device grouping, inter-sub-band power allocation, and intra-sub-band power allocation problems. Solving these sub-problems, we obtain the optimal power allocation schemes by jointly employing channel-state sorting–pairing algorithm, water-filling algorithm, and convex optimization theory. Finally, numerical simulations are conducted to validate the performance of our proposed optimal downlink power allocation scheme. Experimental results show that the total throughput of the system has been significantly improved.https://doi.org/10.1177/15501477211064741 |
| spellingShingle | Ya Gao Fei Yu Haoran Zhang Yongpeng Shi Yujie Xia Optimal downlink power allocation schemes for OFDM-NOMA-based Internet of things International Journal of Distributed Sensor Networks |
| title | Optimal downlink power allocation schemes for OFDM-NOMA-based Internet of things |
| title_full | Optimal downlink power allocation schemes for OFDM-NOMA-based Internet of things |
| title_fullStr | Optimal downlink power allocation schemes for OFDM-NOMA-based Internet of things |
| title_full_unstemmed | Optimal downlink power allocation schemes for OFDM-NOMA-based Internet of things |
| title_short | Optimal downlink power allocation schemes for OFDM-NOMA-based Internet of things |
| title_sort | optimal downlink power allocation schemes for ofdm noma based internet of things |
| url | https://doi.org/10.1177/15501477211064741 |
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