Multi-Scenario Channel Parameter Generation with Transformer-Based Conditional Generative Adversarial Network

Haozheng Lv; Ji Bian; Cheng Xiang Wang; Xiangwei Zheng; Jie Tian; Yu Liu

doi:10.1109/ICCC62479.2024.10681909

Multi-Scenario Channel Parameter Generation with Transformer-Based Conditional Generative Adversarial Network

Haozheng Lv
, Ji Bian
, Cheng Xiang Wang
, Xiangwei Zheng
, Jie Tian
, Yu Liu

Shandong Normal University
Southeast University, Nanjing
Purple Mountain Laboratories
Shandong University

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

Original language	English
Title of host publication	2024 IEEE/CIC International Conference on Communications in China, ICCC 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	7-12
Number of pages	6
ISBN (Electronic)	9798350378412
DOIs	https://doi.org/10.1109/ICCC62479.2024.10681909
State	Published - 2024
Externally published	Yes
Event	2024 IEEE/CIC International Conference on Communications in China, ICCC 2024 - Hangzhou, China Duration: Aug 7 2024 → Aug 9 2024

Publication series

Name	2024 IEEE/CIC International Conference on Communications in China, ICCC 2024

Conference

Conference	2024 IEEE/CIC International Conference on Communications in China, ICCC 2024
Country/Territory	China
City	Hangzhou
Period	8/7/24 → 8/9/24

ASJC Scopus Subject Areas

Computer Networks and Communications
Safety, Risk, Reliability and Quality
Control and Optimization

Keywords

Channel learning
channel modeling
deep learning
generative adversarial network
transformer

Access to Document

10.1109/ICCC62479.2024.10681909

Cite this

Lv, H., Bian, J., Wang, C. X., Zheng, X., Tian, J., & Liu, Y. (2024). Multi-Scenario Channel Parameter Generation with Transformer-Based Conditional Generative Adversarial Network. In 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024 (pp. 7-12). (2024 IEEE/CIC International Conference on Communications in China, ICCC 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCC62479.2024.10681909

Multi-Scenario Channel Parameter Generation with Transformer-Based Conditional Generative Adversarial Network. / Lv, Haozheng; Bian, Ji; Wang, Cheng Xiang et al.
2024 IEEE/CIC International Conference on Communications in China, ICCC 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 7-12 (2024 IEEE/CIC International Conference on Communications in China, ICCC 2024).

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

Lv, H, Bian, J, Wang, CX, Zheng, X, Tian, J & Liu, Y 2024, Multi-Scenario Channel Parameter Generation with Transformer-Based Conditional Generative Adversarial Network. in 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024. 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024, Institute of Electrical and Electronics Engineers Inc., pp. 7-12, 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024, Hangzhou, China, 8/7/24. https://doi.org/10.1109/ICCC62479.2024.10681909

Lv H, Bian J, Wang CX, Zheng X, Tian J, Liu Y. Multi-Scenario Channel Parameter Generation with Transformer-Based Conditional Generative Adversarial Network. In 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 7-12. (2024 IEEE/CIC International Conference on Communications in China, ICCC 2024). doi: 10.1109/ICCC62479.2024.10681909

Lv, Haozheng ; Bian, Ji ; Wang, Cheng Xiang et al. / Multi-Scenario Channel Parameter Generation with Transformer-Based Conditional Generative Adversarial Network. 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 7-12 (2024 IEEE/CIC International Conference on Communications in China, ICCC 2024).

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title = "Multi-Scenario Channel Parameter Generation with Transformer-Based Conditional Generative Adversarial Network",

keywords = "Channel learning, channel modeling, deep learning, generative adversarial network, transformer",

author = "Haozheng Lv and Ji Bian and Wang, \{Cheng Xiang\} and Xiangwei Zheng and Jie Tian and Yu Liu",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024 ; Conference date: 07-08-2024 Through 09-08-2024",

year = "2024",

doi = "10.1109/ICCC62479.2024.10681909",

language = "English",

series = "2024 IEEE/CIC International Conference on Communications in China, ICCC 2024",

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}

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T1 - Multi-Scenario Channel Parameter Generation with Transformer-Based Conditional Generative Adversarial Network

AU - Lv, Haozheng

AU - Bian, Ji

AU - Wang, Cheng Xiang

AU - Zheng, Xiangwei

AU - Tian, Jie

AU - Liu, Yu

PY - 2024

Y1 - 2024

KW - Channel learning

KW - channel modeling

KW - deep learning

KW - generative adversarial network

KW - transformer

UR - https://www.scopus.com/pages/publications/85206482347

UR - https://www.scopus.com/pages/publications/85206482347#tab=citedBy

U2 - 10.1109/ICCC62479.2024.10681909

DO - 10.1109/ICCC62479.2024.10681909

M3 - Conference contribution

AN - SCOPUS:85206482347

T3 - 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024

SP - 7

EP - 12

BT - 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024

Y2 - 7 August 2024 through 9 August 2024

ER -

Multi-Scenario Channel Parameter Generation with Transformer-Based Conditional Generative Adversarial Network

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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