Waveform Precoding Design for Mobile Crowd ISCC System Using Mean Field Game

Dezhi Wang; Chongwen Huang; Jiguang He; Chen Zhu; Wei Wang; Xiaoming Chen; Zhaoyang Zhang; Zhu Han; Mérouane Debbah

doi:10.1109/GCWkshps58843.2023.10464888

Waveform Precoding Design for Mobile Crowd ISCC System Using Mean Field Game

Dezhi Wang, Chongwen Huang, Jiguang He, Chen Zhu, Wei Wang, Xiaoming Chen, Zhaoyang Zhang, Zhu Han, Mérouane Debbah

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

1 Scopus citations

Abstract

Data collection and processing timely is crucial for mobile crowd integrated sensing, communication, and computation (ISCC) systems with various applications such as smart home and connected cars. However, as the number of integrated sensing and communication (ISAC) devices grows, there exist intensive interactions among ISAC devices in the processes of data collection and processing. In this paper, we consider the environment sensing problem in the large-scale mobile crowd ISCC system and propose an efficient waveform precoding design algorithm based on the mean field game (MFG). Specifically, to handle the complex interactions among large-scale ISAC devices, we first employ the MFG method to transform the influence from other ISAC devices into the mean field term. Then, we derive the cost function based on the mean field term and reformulate the waveform precoding design problem based on the MFG. Next, we utilize the G-prox primal-dual hybrid gradient algorithm to solve the reformulated problem. Finally, numerical results demonstrate that the proposed algorithm converges quickly and can reduce energy consumption by about 10% compared with the existing algorithms.

Original language	British English
Title of host publication	2023 IEEE Globecom Workshops, GC Wkshps 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	932-938
Number of pages	7
ISBN (Electronic)	9798350370218
DOIs	https://doi.org/10.1109/GCWkshps58843.2023.10464888
State	Published - 2023
Event	2023 IEEE Globecom Workshops, GC Wkshps 2023 - Kuala Lumpur, Malaysia Duration: 4 Dec 2023 → 8 Dec 2023

Publication series

Name	2023 IEEE Globecom Workshops, GC Wkshps 2023

Conference

Conference	2023 IEEE Globecom Workshops, GC Wkshps 2023
Country/Territory	Malaysia
City	Kuala Lumpur
Period	4/12/23 → 8/12/23

Keywords

communication
computation
integrated sensing
mean field game
mobile crowd sensing
Waveform precoding design

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/GCWkshps58843.2023.10464888

Cite this

Wang, D., Huang, C., He, J., Zhu, C., Wang, W., Chen, X., Zhang, Z., Han, Z., & Debbah, M. (2023). Waveform Precoding Design for Mobile Crowd ISCC System Using Mean Field Game. In 2023 IEEE Globecom Workshops, GC Wkshps 2023 (pp. 932-938). (2023 IEEE Globecom Workshops, GC Wkshps 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCWkshps58843.2023.10464888

@inproceedings{f3abb5403ef148198488093e69e65f6c,

title = "Waveform Precoding Design for Mobile Crowd ISCC System Using Mean Field Game",

abstract = "Data collection and processing timely is crucial for mobile crowd integrated sensing, communication, and computation (ISCC) systems with various applications such as smart home and connected cars. However, as the number of integrated sensing and communication (ISAC) devices grows, there exist intensive interactions among ISAC devices in the processes of data collection and processing. In this paper, we consider the environment sensing problem in the large-scale mobile crowd ISCC system and propose an efficient waveform precoding design algorithm based on the mean field game (MFG). Specifically, to handle the complex interactions among large-scale ISAC devices, we first employ the MFG method to transform the influence from other ISAC devices into the mean field term. Then, we derive the cost function based on the mean field term and reformulate the waveform precoding design problem based on the MFG. Next, we utilize the G-prox primal-dual hybrid gradient algorithm to solve the reformulated problem. Finally, numerical results demonstrate that the proposed algorithm converges quickly and can reduce energy consumption by about 10% compared with the existing algorithms.",

keywords = "communication, computation, integrated sensing, mean field game, mobile crowd sensing, Waveform precoding design",

author = "Dezhi Wang and Chongwen Huang and Jiguang He and Chen Zhu and Wei Wang and Xiaoming Chen and Zhaoyang Zhang and Zhu Han and M{\'e}rouane Debbah",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Globecom Workshops, GC Wkshps 2023 ; Conference date: 04-12-2023 Through 08-12-2023",

year = "2023",

doi = "10.1109/GCWkshps58843.2023.10464888",

language = "British English",

series = "2023 IEEE Globecom Workshops, GC Wkshps 2023",

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

pages = "932--938",

booktitle = "2023 IEEE Globecom Workshops, GC Wkshps 2023",

address = "United States",

}

Wang, D, Huang, C, He, J, Zhu, C, Wang, W, Chen, X, Zhang, Z, Han, Z & Debbah, M 2023, Waveform Precoding Design for Mobile Crowd ISCC System Using Mean Field Game. in 2023 IEEE Globecom Workshops, GC Wkshps 2023. 2023 IEEE Globecom Workshops, GC Wkshps 2023, Institute of Electrical and Electronics Engineers Inc., pp. 932-938, 2023 IEEE Globecom Workshops, GC Wkshps 2023, Kuala Lumpur, Malaysia, 4/12/23. https://doi.org/10.1109/GCWkshps58843.2023.10464888

Waveform Precoding Design for Mobile Crowd ISCC System Using Mean Field Game. / Wang, Dezhi; Huang, Chongwen; He, Jiguang et al.
2023 IEEE Globecom Workshops, GC Wkshps 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 932-938 (2023 IEEE Globecom Workshops, GC Wkshps 2023).

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

TY - GEN

T1 - Waveform Precoding Design for Mobile Crowd ISCC System Using Mean Field Game

AU - Wang, Dezhi

AU - Huang, Chongwen

AU - He, Jiguang

AU - Zhu, Chen

AU - Wang, Wei

AU - Chen, Xiaoming

AU - Zhang, Zhaoyang

AU - Han, Zhu

AU - Debbah, Mérouane

PY - 2023

Y1 - 2023

N2 - Data collection and processing timely is crucial for mobile crowd integrated sensing, communication, and computation (ISCC) systems with various applications such as smart home and connected cars. However, as the number of integrated sensing and communication (ISAC) devices grows, there exist intensive interactions among ISAC devices in the processes of data collection and processing. In this paper, we consider the environment sensing problem in the large-scale mobile crowd ISCC system and propose an efficient waveform precoding design algorithm based on the mean field game (MFG). Specifically, to handle the complex interactions among large-scale ISAC devices, we first employ the MFG method to transform the influence from other ISAC devices into the mean field term. Then, we derive the cost function based on the mean field term and reformulate the waveform precoding design problem based on the MFG. Next, we utilize the G-prox primal-dual hybrid gradient algorithm to solve the reformulated problem. Finally, numerical results demonstrate that the proposed algorithm converges quickly and can reduce energy consumption by about 10% compared with the existing algorithms.

AB - Data collection and processing timely is crucial for mobile crowd integrated sensing, communication, and computation (ISCC) systems with various applications such as smart home and connected cars. However, as the number of integrated sensing and communication (ISAC) devices grows, there exist intensive interactions among ISAC devices in the processes of data collection and processing. In this paper, we consider the environment sensing problem in the large-scale mobile crowd ISCC system and propose an efficient waveform precoding design algorithm based on the mean field game (MFG). Specifically, to handle the complex interactions among large-scale ISAC devices, we first employ the MFG method to transform the influence from other ISAC devices into the mean field term. Then, we derive the cost function based on the mean field term and reformulate the waveform precoding design problem based on the MFG. Next, we utilize the G-prox primal-dual hybrid gradient algorithm to solve the reformulated problem. Finally, numerical results demonstrate that the proposed algorithm converges quickly and can reduce energy consumption by about 10% compared with the existing algorithms.

KW - communication

KW - computation

KW - integrated sensing

KW - mean field game

KW - mobile crowd sensing

KW - Waveform precoding design

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DO - 10.1109/GCWkshps58843.2023.10464888

M3 - Conference contribution

AN - SCOPUS:85188174221

T3 - 2023 IEEE Globecom Workshops, GC Wkshps 2023

SP - 932

EP - 938

BT - 2023 IEEE Globecom Workshops, GC Wkshps 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Globecom Workshops, GC Wkshps 2023

Y2 - 4 December 2023 through 8 December 2023

ER -

Waveform Precoding Design for Mobile Crowd ISCC System Using Mean Field Game

Abstract

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Keywords

UN SDGs

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