Unified Mathematical Framework for Intelligent Transceiver Design

Feng Li; Gang Dai; Heng Du; Yiqing Zhang; Zhengyang Hu; Guanzhang Liu; Runhua Li; Jiang Xue; Zongben Xu

doi:10.1109/VTC2022-Fall57202.2022.10013067

Unified Mathematical Framework for Intelligent Transceiver Design

Feng Li
, Gang Dai
, Heng Du
, Yiqing Zhang
, Zhengyang Hu
, Guanzhang Liu
, Runhua Li
, Jiang Xue
, Zongben Xu

Xi'an Jiaotong University

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

Abstract

This paper proposes a unified mathematical frame-work for intelligent transceiver design. It mainly includes three most important modules in the communication system, namely, beamforming, channel estimation and Multiple-Input Multiple-Output (MIMO) detection. Firstly, the mathematical correlation behind different algorithms of a single communication module is analyzed, the purpose is to realize the unification between different algorithms of a specific communication module. Next, a cross-module unified mathematical framework is proposed. Finally, an AI architecture for the unified mathematical framework is designed, which shows that the intelligent transceiver based on the mathematical framework has higher performance.

Original language	English
Title of host publication	2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665454681
DOIs	https://doi.org/10.1109/VTC2022-Fall57202.2022.10013067
State	Published - 2022
Event	96th IEEE Vehicular Technology Conference, VTC 2022-Fall 2022 - London, United Kingdom Duration: 26 Sep 2022 → 29 Sep 2022

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2022-September
ISSN (Print)	1550-2252

Conference

Conference	96th IEEE Vehicular Technology Conference, VTC 2022-Fall 2022
Country/Territory	United Kingdom
City	London
Period	26/09/22 → 29/09/22

Keywords

MIMO detection
beamforming
channel estimation
intelligent transceiver
unified mathematical framework

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10.1109/VTC2022-Fall57202.2022.10013067

Cite this

Li, F., Dai, G., Du, H., Zhang, Y., Hu, Z., Liu, G., Li, R., Xue, J., & Xu, Z. (2022). Unified Mathematical Framework for Intelligent Transceiver Design. In 2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings (IEEE Vehicular Technology Conference; Vol. 2022-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2022-Fall57202.2022.10013067

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title = "Unified Mathematical Framework for Intelligent Transceiver Design",

abstract = "This paper proposes a unified mathematical frame-work for intelligent transceiver design. It mainly includes three most important modules in the communication system, namely, beamforming, channel estimation and Multiple-Input Multiple-Output (MIMO) detection. Firstly, the mathematical correlation behind different algorithms of a single communication module is analyzed, the purpose is to realize the unification between different algorithms of a specific communication module. Next, a cross-module unified mathematical framework is proposed. Finally, an AI architecture for the unified mathematical framework is designed, which shows that the intelligent transceiver based on the mathematical framework has higher performance.",

keywords = "MIMO detection, beamforming, channel estimation, intelligent transceiver, unified mathematical framework",

author = "Feng Li and Gang Dai and Heng Du and Yiqing Zhang and Zhengyang Hu and Guanzhang Liu and Runhua Li and Jiang Xue and Zongben Xu",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 96th IEEE Vehicular Technology Conference, VTC 2022-Fall 2022 ; Conference date: 26-09-2022 Through 29-09-2022",

year = "2022",

doi = "10.1109/VTC2022-Fall57202.2022.10013067",

language = "英语",

series = "IEEE Vehicular Technology Conference",

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

booktitle = "2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings",

}

Li, F, Dai, G, Du, H, Zhang, Y, Hu, Z, Liu, G, Li, R, Xue, J & Xu, Z 2022, Unified Mathematical Framework for Intelligent Transceiver Design. in 2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings. IEEE Vehicular Technology Conference, vol. 2022-September, Institute of Electrical and Electronics Engineers Inc., 96th IEEE Vehicular Technology Conference, VTC 2022-Fall 2022, London, United Kingdom, 26/09/22. https://doi.org/10.1109/VTC2022-Fall57202.2022.10013067

Unified Mathematical Framework for Intelligent Transceiver Design. / Li, Feng; Dai, Gang; Du, Heng et al.
2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (IEEE Vehicular Technology Conference; Vol. 2022-September).

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

TY - GEN

T1 - Unified Mathematical Framework for Intelligent Transceiver Design

AU - Li, Feng

AU - Dai, Gang

AU - Du, Heng

AU - Zhang, Yiqing

AU - Hu, Zhengyang

AU - Liu, Guanzhang

AU - Li, Runhua

AU - Xue, Jiang

AU - Xu, Zongben

PY - 2022

Y1 - 2022

N2 - This paper proposes a unified mathematical frame-work for intelligent transceiver design. It mainly includes three most important modules in the communication system, namely, beamforming, channel estimation and Multiple-Input Multiple-Output (MIMO) detection. Firstly, the mathematical correlation behind different algorithms of a single communication module is analyzed, the purpose is to realize the unification between different algorithms of a specific communication module. Next, a cross-module unified mathematical framework is proposed. Finally, an AI architecture for the unified mathematical framework is designed, which shows that the intelligent transceiver based on the mathematical framework has higher performance.

AB - This paper proposes a unified mathematical frame-work for intelligent transceiver design. It mainly includes three most important modules in the communication system, namely, beamforming, channel estimation and Multiple-Input Multiple-Output (MIMO) detection. Firstly, the mathematical correlation behind different algorithms of a single communication module is analyzed, the purpose is to realize the unification between different algorithms of a specific communication module. Next, a cross-module unified mathematical framework is proposed. Finally, an AI architecture for the unified mathematical framework is designed, which shows that the intelligent transceiver based on the mathematical framework has higher performance.

KW - MIMO detection

KW - beamforming

KW - channel estimation

KW - intelligent transceiver

KW - unified mathematical framework

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U2 - 10.1109/VTC2022-Fall57202.2022.10013067

DO - 10.1109/VTC2022-Fall57202.2022.10013067

M3 - 会议稿件

AN - SCOPUS:85147036430

T3 - IEEE Vehicular Technology Conference

BT - 2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 96th IEEE Vehicular Technology Conference, VTC 2022-Fall 2022

Y2 - 26 September 2022 through 29 September 2022

ER -

Unified Mathematical Framework for Intelligent Transceiver Design

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