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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Main Author: ZHANG Yun
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2024-05-01
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
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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