DQN-Based Transmit Power Control in V2V Communications Using Sensor Images

Jung Yun Moon; Duk Kyung Kim

doi:10.1007/978-981-97-2447-5_30

DQN-Based Transmit Power Control in V2V Communications Using Sensor Images

Jung Yun Moon, Duk Kyung Kim

Inha University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes a way to optimize the transmit power of a vehicle based on the Deep-Q-Network (DQN) model with sensor images in a vehicle-to-everything (V2X) environment. The road situation is observed and represented as images, and then the transmit power of a vehicle is decided to meet the target packet reception ratio (PRR) via the DQN model. The proposed scheme solely depends on the sensor images unlike many previous works based on channel information. The performance is evaluated in terms of the learning speed and success rate. The proposed scheme can minimize transmit power while satisfying the target PRR in various V2X scenarios.

Original language	English
Title of host publication	Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE/CSA 2023
Editors	Ji Su Park, Laurence T. Yang, Yi Pan, James J. Park
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	196-201
Number of pages	6
ISBN (Print)	9789819724468
DOIs	https://doi.org/10.1007/978-981-97-2447-5_30
State	Published - 2024
Event	15th International Conference on Computer Science and its Applications, CSA 2023 and 17th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2023 - Nha Trang, Viet Nam Duration: 18 Dec 2023 → 20 Dec 2023

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1190 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	15th International Conference on Computer Science and its Applications, CSA 2023 and 17th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2023
Country/Territory	Viet Nam
City	Nha Trang
Period	18/12/23 → 20/12/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Keywords

DQN
power control
Sensor images
V2X

Access to Document

10.1007/978-981-97-2447-5_30

Cite this

Moon, J. Y., & Kim, D. K. (2024). DQN-Based Transmit Power Control in V2V Communications Using Sensor Images. In J. S. Park, L. T. Yang, Y. Pan, & J. J. Park (Eds.), Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE/CSA 2023 (pp. 196-201). (Lecture Notes in Electrical Engineering; Vol. 1190 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-2447-5_30

Moon, Jung Yun ; Kim, Duk Kyung. / DQN-Based Transmit Power Control in V2V Communications Using Sensor Images. Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE/CSA 2023. editor / Ji Su Park ; Laurence T. Yang ; Yi Pan ; James J. Park. Springer Science and Business Media Deutschland GmbH, 2024. pp. 196-201 (Lecture Notes in Electrical Engineering).

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abstract = "This paper proposes a way to optimize the transmit power of a vehicle based on the Deep-Q-Network (DQN) model with sensor images in a vehicle-to-everything (V2X) environment. The road situation is observed and represented as images, and then the transmit power of a vehicle is decided to meet the target packet reception ratio (PRR) via the DQN model. The proposed scheme solely depends on the sensor images unlike many previous works based on channel information. The performance is evaluated in terms of the learning speed and success rate. The proposed scheme can minimize transmit power while satisfying the target PRR in various V2X scenarios.",

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Moon, JY & Kim, DK 2024, DQN-Based Transmit Power Control in V2V Communications Using Sensor Images. in JS Park, LT Yang, Y Pan & JJ Park (eds), Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE/CSA 2023. Lecture Notes in Electrical Engineering, vol. 1190 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 196-201, 15th International Conference on Computer Science and its Applications, CSA 2023 and 17th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2023, Nha Trang, Viet Nam, 18/12/23. https://doi.org/10.1007/978-981-97-2447-5_30

DQN-Based Transmit Power Control in V2V Communications Using Sensor Images. / Moon, Jung Yun; Kim, Duk Kyung.
Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE/CSA 2023. ed. / Ji Su Park; Laurence T. Yang; Yi Pan; James J. Park. Springer Science and Business Media Deutschland GmbH, 2024. p. 196-201 (Lecture Notes in Electrical Engineering; Vol. 1190 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper proposes a way to optimize the transmit power of a vehicle based on the Deep-Q-Network (DQN) model with sensor images in a vehicle-to-everything (V2X) environment. The road situation is observed and represented as images, and then the transmit power of a vehicle is decided to meet the target packet reception ratio (PRR) via the DQN model. The proposed scheme solely depends on the sensor images unlike many previous works based on channel information. The performance is evaluated in terms of the learning speed and success rate. The proposed scheme can minimize transmit power while satisfying the target PRR in various V2X scenarios.

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Moon JY, Kim DK. DQN-Based Transmit Power Control in V2V Communications Using Sensor Images. In Park JS, Yang LT, Pan Y, Park JJ, editors, Advances in Computer Science and Ubiquitous Computing - Proceedings of CUTE/CSA 2023. Springer Science and Business Media Deutschland GmbH. 2024. p. 196-201. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-97-2447-5_30

DQN-Based Transmit Power Control in V2V Communications Using Sensor Images

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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