Joint Opportunistic Satellite Scheduling and Beamforming for Secure Transmission in Cognitive LEO Satellite Terrestrial Networks

Xiaofen Jiao; Yichen Wang; Zhangnan Wang; Tao Wang

doi:10.1007/978-3-030-99200-2_6

Joint Opportunistic Satellite Scheduling and Beamforming for Secure Transmission in Cognitive LEO Satellite Terrestrial Networks

Xiaofen Jiao
, Yichen Wang
, Zhangnan Wang
, Tao Wang

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University

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

Abstract

Security is a critical issue for cognitive LEO satellite terrestrial networks (CLSTNs) in the future 6G era. To guarantee the secure transmission of both the satellite and terristrial users under limited power budgets, we propose a joint opportunistic satellite scheduling and beamforming (BF) scheme for the CLSTN. Specifically, we formulate an optimization problem to maximize the secrecy energy efficiency (SEE) of the satellite user under the secrecy constraint of the base station (BS) user, the signal-to-interference plus noise ratio (SINR) requirements of the intended users and the limited power budgets of the transmitters. Since the formulated problem is complex and nonconvex, we first consider the achievable SEE of a given scheduled satellite and transform the original SEE maximization problem into a convex problem based on the Dinkelbach’s method and the difference of two-convex functions (D.C.) approximation method. Consequently, we propose a three-tier algorithm to jointly determine the satellite scheduling vector and the BF vectors of the satellite and BS. Simulation results verify the superiority of our proposed scheme over the existing schemes.

Original language	English
Title of host publication	Communications and Networking - 16th EAI International Conference, ChinaCom 2021, Proceedings
Editors	Honghao Gao, Jun Wun, Jianwei Yin, Feifei Shen, Yulong Shen, Jun Yu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	65-79
Number of pages	15
ISBN (Print)	9783030991999
DOIs	https://doi.org/10.1007/978-3-030-99200-2_6
State	Published - 2022
Event	16th EAI International Conference on Communications and Networking in China, ChinaCom 2021 - Virtual, Online Duration: 21 Nov 2021 → 22 Nov 2021

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	433 LNICST
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	16th EAI International Conference on Communications and Networking in China, ChinaCom 2021
City	Virtual, Online
Period	21/11/21 → 22/11/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Cognitive LEO satellite terrestrial network
Physical layer security
Satellite scheduling scheme
Secrecy energy efficiency

Access to Document

10.1007/978-3-030-99200-2_6

Cite this

Jiao, X., Wang, Y., Wang, Z., & Wang, T. (2022). Joint Opportunistic Satellite Scheduling and Beamforming for Secure Transmission in Cognitive LEO Satellite Terrestrial Networks. In H. Gao, J. Wun, J. Yin, F. Shen, Y. Shen, & J. Yu (Eds.), Communications and Networking - 16th EAI International Conference, ChinaCom 2021, Proceedings (pp. 65-79). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 433 LNICST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-99200-2_6

Jiao, Xiaofen ; Wang, Yichen ; Wang, Zhangnan et al. / Joint Opportunistic Satellite Scheduling and Beamforming for Secure Transmission in Cognitive LEO Satellite Terrestrial Networks. Communications and Networking - 16th EAI International Conference, ChinaCom 2021, Proceedings. editor / Honghao Gao ; Jun Wun ; Jianwei Yin ; Feifei Shen ; Yulong Shen ; Jun Yu. Springer Science and Business Media Deutschland GmbH, 2022. pp. 65-79 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{26fecf1557fe4ea98c8743bf24b731ad,

title = "Joint Opportunistic Satellite Scheduling and Beamforming for Secure Transmission in Cognitive LEO Satellite Terrestrial Networks",

abstract = "Security is a critical issue for cognitive LEO satellite terrestrial networks (CLSTNs) in the future 6G era. To guarantee the secure transmission of both the satellite and terristrial users under limited power budgets, we propose a joint opportunistic satellite scheduling and beamforming (BF) scheme for the CLSTN. Specifically, we formulate an optimization problem to maximize the secrecy energy efficiency (SEE) of the satellite user under the secrecy constraint of the base station (BS) user, the signal-to-interference plus noise ratio (SINR) requirements of the intended users and the limited power budgets of the transmitters. Since the formulated problem is complex and nonconvex, we first consider the achievable SEE of a given scheduled satellite and transform the original SEE maximization problem into a convex problem based on the Dinkelbach{\textquoteright}s method and the difference of two-convex functions (D.C.) approximation method. Consequently, we propose a three-tier algorithm to jointly determine the satellite scheduling vector and the BF vectors of the satellite and BS. Simulation results verify the superiority of our proposed scheme over the existing schemes.",

keywords = "Cognitive LEO satellite terrestrial network, Physical layer security, Satellite scheduling scheme, Secrecy energy efficiency",

author = "Xiaofen Jiao and Yichen Wang and Zhangnan Wang and Tao Wang",

note = "Publisher Copyright: {\textcopyright} 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 16th EAI International Conference on Communications and Networking in China, ChinaCom 2021 ; Conference date: 21-11-2021 Through 22-11-2021",

year = "2022",

doi = "10.1007/978-3-030-99200-2\_6",

language = "英语",

isbn = "9783030991999",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "65--79",

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booktitle = "Communications and Networking - 16th EAI International Conference, ChinaCom 2021, Proceedings",

}

Jiao, X, Wang, Y, Wang, Z & Wang, T 2022, Joint Opportunistic Satellite Scheduling and Beamforming for Secure Transmission in Cognitive LEO Satellite Terrestrial Networks. in H Gao, J Wun, J Yin, F Shen, Y Shen & J Yu (eds), Communications and Networking - 16th EAI International Conference, ChinaCom 2021, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 433 LNICST, Springer Science and Business Media Deutschland GmbH, pp. 65-79, 16th EAI International Conference on Communications and Networking in China, ChinaCom 2021, Virtual, Online, 21/11/21. https://doi.org/10.1007/978-3-030-99200-2_6

Joint Opportunistic Satellite Scheduling and Beamforming for Secure Transmission in Cognitive LEO Satellite Terrestrial Networks. / Jiao, Xiaofen; Wang, Yichen; Wang, Zhangnan et al.
Communications and Networking - 16th EAI International Conference, ChinaCom 2021, Proceedings. ed. / Honghao Gao; Jun Wun; Jianwei Yin; Feifei Shen; Yulong Shen; Jun Yu. Springer Science and Business Media Deutschland GmbH, 2022. p. 65-79 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 433 LNICST).

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

TY - GEN

T1 - Joint Opportunistic Satellite Scheduling and Beamforming for Secure Transmission in Cognitive LEO Satellite Terrestrial Networks

AU - Jiao, Xiaofen

AU - Wang, Yichen

AU - Wang, Zhangnan

AU - Wang, Tao

PY - 2022

Y1 - 2022

N2 - Security is a critical issue for cognitive LEO satellite terrestrial networks (CLSTNs) in the future 6G era. To guarantee the secure transmission of both the satellite and terristrial users under limited power budgets, we propose a joint opportunistic satellite scheduling and beamforming (BF) scheme for the CLSTN. Specifically, we formulate an optimization problem to maximize the secrecy energy efficiency (SEE) of the satellite user under the secrecy constraint of the base station (BS) user, the signal-to-interference plus noise ratio (SINR) requirements of the intended users and the limited power budgets of the transmitters. Since the formulated problem is complex and nonconvex, we first consider the achievable SEE of a given scheduled satellite and transform the original SEE maximization problem into a convex problem based on the Dinkelbach’s method and the difference of two-convex functions (D.C.) approximation method. Consequently, we propose a three-tier algorithm to jointly determine the satellite scheduling vector and the BF vectors of the satellite and BS. Simulation results verify the superiority of our proposed scheme over the existing schemes.

AB - Security is a critical issue for cognitive LEO satellite terrestrial networks (CLSTNs) in the future 6G era. To guarantee the secure transmission of both the satellite and terristrial users under limited power budgets, we propose a joint opportunistic satellite scheduling and beamforming (BF) scheme for the CLSTN. Specifically, we formulate an optimization problem to maximize the secrecy energy efficiency (SEE) of the satellite user under the secrecy constraint of the base station (BS) user, the signal-to-interference plus noise ratio (SINR) requirements of the intended users and the limited power budgets of the transmitters. Since the formulated problem is complex and nonconvex, we first consider the achievable SEE of a given scheduled satellite and transform the original SEE maximization problem into a convex problem based on the Dinkelbach’s method and the difference of two-convex functions (D.C.) approximation method. Consequently, we propose a three-tier algorithm to jointly determine the satellite scheduling vector and the BF vectors of the satellite and BS. Simulation results verify the superiority of our proposed scheme over the existing schemes.

KW - Cognitive LEO satellite terrestrial network

KW - Physical layer security

KW - Satellite scheduling scheme

KW - Secrecy energy efficiency

UR - https://www.scopus.com/pages/publications/85128493191

U2 - 10.1007/978-3-030-99200-2_6

DO - 10.1007/978-3-030-99200-2_6

M3 - 会议稿件

AN - SCOPUS:85128493191

SN - 9783030991999

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 65

EP - 79

BT - Communications and Networking - 16th EAI International Conference, ChinaCom 2021, Proceedings

A2 - Gao, Honghao

A2 - Wun, Jun

A2 - Yin, Jianwei

A2 - Shen, Feifei

A2 - Shen, Yulong

A2 - Yu, Jun

PB - Springer Science and Business Media Deutschland GmbH

T2 - 16th EAI International Conference on Communications and Networking in China, ChinaCom 2021

Y2 - 21 November 2021 through 22 November 2021

ER -

Jiao X, Wang Y, Wang Z, Wang T. Joint Opportunistic Satellite Scheduling and Beamforming for Secure Transmission in Cognitive LEO Satellite Terrestrial Networks. In Gao H, Wun J, Yin J, Shen F, Shen Y, Yu J, editors, Communications and Networking - 16th EAI International Conference, ChinaCom 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 65-79. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-99200-2_6

Joint Opportunistic Satellite Scheduling and Beamforming for Secure Transmission in Cognitive LEO Satellite Terrestrial Networks

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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