Deep deterministic policy gradient-based energy efficiency optimization algorithm for CR-NOMA
Cognitive radio non-orthogonal multiple access (CR-NOMA) technology was used to alleviate the shortage of spectrum resource, and improve the throughput of sensor devices. But the energy efficiency problem had been restricting the application of sensor devices. Therefore, for CR-NOMA, deep determinis...
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Beijing Xintong Media Co., Ltd
2024-05-01
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Series: | Dianxin kexue |
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Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024146/ |
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author | ZHANG Yun |
author_facet | ZHANG Yun |
author_sort | ZHANG Yun |
collection | DOAJ |
description | Cognitive radio non-orthogonal multiple access (CR-NOMA) technology was used to alleviate the shortage of spectrum resource, and improve the throughput of sensor devices. But the energy efficiency problem had been restricting the application of sensor devices. Therefore, for CR-NOMA, deep deterministic policy gradient-based energy efficiency optimization (DPEE) algorithm was proposed. By jointly optimizing the transmission power and time slot splitting coefficient, the energy efficiency of sensor devices was improved. The energy efficiency optimization problem was modeled as a Markov decision process, and it was solved by the deep deterministic policy gradient (DDPG) method. Finally, the influence of circuit power consumption, time slot durations and number of main devices on energy efficiency were analyzed. The simulation results show that the energy efficiency decreases as the circuit power consumption of sensor device increases. In addition, compared with other algorithms, the proposed algorithm improves energy efficiency. |
format | Article |
id | doaj-art-0bf85e4e725d4b37981e9af748b4ea78 |
institution | Kabale University |
issn | 1000-0801 |
language | zho |
publishDate | 2024-05-01 |
publisher | Beijing Xintong Media Co., Ltd |
record_format | Article |
series | Dianxin kexue |
spelling | doaj-art-0bf85e4e725d4b37981e9af748b4ea782025-01-15T03:33:29ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-05-014011212060129543Deep deterministic policy gradient-based energy efficiency optimization algorithm for CR-NOMAZHANG YunCognitive radio non-orthogonal multiple access (CR-NOMA) technology was used to alleviate the shortage of spectrum resource, and improve the throughput of sensor devices. But the energy efficiency problem had been restricting the application of sensor devices. Therefore, for CR-NOMA, deep deterministic policy gradient-based energy efficiency optimization (DPEE) algorithm was proposed. By jointly optimizing the transmission power and time slot splitting coefficient, the energy efficiency of sensor devices was improved. The energy efficiency optimization problem was modeled as a Markov decision process, and it was solved by the deep deterministic policy gradient (DDPG) method. Finally, the influence of circuit power consumption, time slot durations and number of main devices on energy efficiency were analyzed. The simulation results show that the energy efficiency decreases as the circuit power consumption of sensor device increases. In addition, compared with other algorithms, the proposed algorithm improves energy efficiency.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024146/sensor deviceenergy harvestingcognitive radio non-orthogonal multiple accessenergy efficiencydeep deterministic policy gradient |
spellingShingle | ZHANG Yun Deep deterministic policy gradient-based energy efficiency optimization algorithm for CR-NOMA Dianxin kexue sensor device energy harvesting cognitive radio non-orthogonal multiple access energy efficiency deep deterministic policy gradient |
title | Deep deterministic policy gradient-based energy efficiency optimization algorithm for CR-NOMA |
title_full | Deep deterministic policy gradient-based energy efficiency optimization algorithm for CR-NOMA |
title_fullStr | Deep deterministic policy gradient-based energy efficiency optimization algorithm for CR-NOMA |
title_full_unstemmed | Deep deterministic policy gradient-based energy efficiency optimization algorithm for CR-NOMA |
title_short | Deep deterministic policy gradient-based energy efficiency optimization algorithm for CR-NOMA |
title_sort | deep deterministic policy gradient based energy efficiency optimization algorithm for cr noma |
topic | sensor device energy harvesting cognitive radio non-orthogonal multiple access energy efficiency deep deterministic policy gradient |
url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024146/ |
work_keys_str_mv | AT zhangyun deepdeterministicpolicygradientbasedenergyefficiencyoptimizationalgorithmforcrnoma |