Optimizing Communication with DDQN-Based Adaptive Modulation Coding: Two Strategic Approaches

Lingling Zhang; Jianan Zhang; Weijie Tan; Chengkai Tang

doi:10.1109/ICSPCC59353.2023.10400211

Optimizing Communication with DDQN-Based Adaptive Modulation Coding: Two Strategic Approaches

Lingling Zhang
, Jianan Zhang
, Weijie Tan
, Chengkai Tang

电子信息学院

Northwestern Polytechnical University Xian
Guizhou University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

3 引用（Scopus）

摘要

In this paper, we present an adaptive modulation coding scheme based on DDQN algorithm. Taking the different need of communication system into account, we construct two communication strategies, which are energy efficiency prioritized strategy and reliability prioritized strategy. Simulation is conducted over the time varying underwater acoustic channel, with comparison to traditional fixed link and DQN adaptive method. The results show that based on the reliability priority strategy, the DDQN method can select the modulation mode that makes the BER lower in the current environment for data transmission, while based on the energy efficiency priority strategy, the DDQN method could reach higher system throughput and energy efficiency compared to the fixed MCS and DQN adaptive method.

源语言	英语
主期刊名	Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023
出版商	Institute of Electrical and Electronics Engineers Inc.
ISBN（电子版）	9798350316728
DOI	https://doi.org/10.1109/ICSPCC59353.2023.10400211
出版状态	已出版 - 2023
活动	2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023 - Zhengzhou, Henan, 中国期限: 14 11月 2023 → 17 11月 2023

出版系列

姓名	Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023

会议

会议	2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023
国家/地区	中国
市	Zhengzhou, Henan
时期	14/11/23 → 17/11/23

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/ICSPCC59353.2023.10400211

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhang, L., Zhang, J., Tan, W., & Tang, C. (2023). Optimizing Communication with DDQN-Based Adaptive Modulation Coding: Two Strategic Approaches. 在 Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023 (Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSPCC59353.2023.10400211

Zhang, Lingling ; Zhang, Jianan ; Tan, Weijie 等. / Optimizing Communication with DDQN-Based Adaptive Modulation Coding : Two Strategic Approaches. Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023).

@inproceedings{7e349d289fd94e08a153bb728207450c,

title = "Optimizing Communication with DDQN-Based Adaptive Modulation Coding: Two Strategic Approaches",

abstract = "In this paper, we present an adaptive modulation coding scheme based on DDQN algorithm. Taking the different need of communication system into account, we construct two communication strategies, which are energy efficiency prioritized strategy and reliability prioritized strategy. Simulation is conducted over the time varying underwater acoustic channel, with comparison to traditional fixed link and DQN adaptive method. The results show that based on the reliability priority strategy, the DDQN method can select the modulation mode that makes the BER lower in the current environment for data transmission, while based on the energy efficiency priority strategy, the DDQN method could reach higher system throughput and energy efficiency compared to the fixed MCS and DQN adaptive method.",

keywords = "Adaptive Modulation and Coding, Deep Reinforcement Learning, Double Deep Q-network, Underwater Acoustic Communication",

author = "Lingling Zhang and Jianan Zhang and Weijie Tan and Chengkai Tang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023 ; Conference date: 14-11-2023 Through 17-11-2023",

year = "2023",

doi = "10.1109/ICSPCC59353.2023.10400211",

language = "英语",

series = "Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023",

}

Zhang, L, Zhang, J, Tan, W & Tang, C 2023, Optimizing Communication with DDQN-Based Adaptive Modulation Coding: Two Strategic Approaches. 在 Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023. Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023, Zhengzhou, Henan, 中国, 14/11/23. https://doi.org/10.1109/ICSPCC59353.2023.10400211

Optimizing Communication with DDQN-Based Adaptive Modulation Coding: Two Strategic Approaches. / Zhang, Lingling; Zhang, Jianan; Tan, Weijie 等.
Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Optimizing Communication with DDQN-Based Adaptive Modulation Coding

T2 - 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023

AU - Zhang, Lingling

AU - Zhang, Jianan

AU - Tan, Weijie

AU - Tang, Chengkai

PY - 2023

Y1 - 2023

N2 - In this paper, we present an adaptive modulation coding scheme based on DDQN algorithm. Taking the different need of communication system into account, we construct two communication strategies, which are energy efficiency prioritized strategy and reliability prioritized strategy. Simulation is conducted over the time varying underwater acoustic channel, with comparison to traditional fixed link and DQN adaptive method. The results show that based on the reliability priority strategy, the DDQN method can select the modulation mode that makes the BER lower in the current environment for data transmission, while based on the energy efficiency priority strategy, the DDQN method could reach higher system throughput and energy efficiency compared to the fixed MCS and DQN adaptive method.

AB - In this paper, we present an adaptive modulation coding scheme based on DDQN algorithm. Taking the different need of communication system into account, we construct two communication strategies, which are energy efficiency prioritized strategy and reliability prioritized strategy. Simulation is conducted over the time varying underwater acoustic channel, with comparison to traditional fixed link and DQN adaptive method. The results show that based on the reliability priority strategy, the DDQN method can select the modulation mode that makes the BER lower in the current environment for data transmission, while based on the energy efficiency priority strategy, the DDQN method could reach higher system throughput and energy efficiency compared to the fixed MCS and DQN adaptive method.

KW - Adaptive Modulation and Coding

KW - Deep Reinforcement Learning

KW - Double Deep Q-network

KW - Underwater Acoustic Communication

UR - https://www.scopus.com/pages/publications/85184849717

U2 - 10.1109/ICSPCC59353.2023.10400211

DO - 10.1109/ICSPCC59353.2023.10400211

M3 - 会议稿件

AN - SCOPUS:85184849717

T3 - Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023

BT - Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 14 November 2023 through 17 November 2023

ER -

Zhang L, Zhang J, Tan W, Tang C. Optimizing Communication with DDQN-Based Adaptive Modulation Coding: Two Strategic Approaches. 在 Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023). doi: 10.1109/ICSPCC59353.2023.10400211

Optimizing Communication with DDQN-Based Adaptive Modulation Coding: Two Strategic Approaches

摘要

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联合国可持续发展目标

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其它文件与链接

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