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Joint UE Location Energy-Efficient Resource Management in Integrated Satellite and Terrestrial Networks

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Journal of Communications and Information Networks

Abstract

Integrated satellite and terrestrial networks can be used to solve communication problems in natural disasters, forestry monitoring and control, and military communication. Unlike traditional communication methods, integrated networks are effective solutions because of their advantages in communication, remote sensing, monitoring, navigation, and all-weather seamless coverage. Monitoring, urban management, and other aspects will also have a wide range of applications. This study first builds an integrated network overlay model, and divides the satellite network into two categories: terrestrial network end users and satellite network end users. The energy efficiency, throughput, and signal-to-noise ratio (SINR) are deduced and analyzed. In this paper, we discuss the influence of various factors, such as transmit power, number of users, size of the protected area, and terminal position, on energy efficiency and SINR. A satellite-sharing scheme with a combination of the user location and an exclusion zone with high energy efficiency and anti-jamming capability is proposed to provide better communication quality for end users in integrated satellite and terrestrial networks.

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Author information

Authors and Affiliations

  1. Harbin Institute of Technology, School of Electronics and Information Engineering, Harbin, 150080, China

    Min Jia, Ximu Zhang, Xuemai Gu, Xiaofeng Liu & Qing Guo

Authors
  1. Min Jia
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  2. Ximu Zhang
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  3. Xuemai Gu
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  4. Xiaofeng Liu
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  5. Qing Guo
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Corresponding author

Correspondence to Xuemai Gu.

Additional information

This work is supported by the National Natural Science Foundation of China (Nos. 61671183, 61771163, 91438205).

Min Jia was born in 1982. She received her M.Sc. degree in information and communication engineering from Harbin Institute of Technology (HIT) in 2006, and her Ph.D. degree from SungKyungKwan University of Korea and HIT in 2010. She is currently an associate professor and Ph.D. supervisor at the Communication Research Center and School of Electronics and Information Engineering of HIT. Her research interests focus on advanced mobile communication technology and non-orthogonal transmission scheme for 5G, cognitive radio, digital signal processing, machine learning and broadband satellite communications. (Email: jiamin@hit.edu.cn )

Ximu Zhang was born in 1993. She received her M.Sc. degree in Harbin Institute of Technology (HIT), in 2017. She is currently a Ph.D. candidate in Communication Research Center and School of Electronics and Information Engineering of HIT. Her research interests include broadband satellite communications and heterogeneous cloud radio access network. (Email: 17B905006@stu.hit.edu.cn)

Xuemai Gu [corresponding author] was born in 1957. He received his M.Sc. and Ph.D. degrees from the Department of Information and Communication Engineering of HIT in 1985 and 1991, respectively. He is currently a professor and president of the Graduate School of HIT. His research interests focus on integrated and hybrid satellite and terrestrial communications and broadband multimedia communication technique. (Email: guxuemai@hit.edu.cn)

Xiaofeng Liu was born in 1961. He is currently a professor in the School of Electronic and Information Engineering of HIT. His research interests focus on satellite communications and broadband multimedia communication technique. (Email: liuxiaofeng@ hit.edu.cn)

Qing Guo was born in 1964. He received his M.Sc. and Ph.D. from Beijing University of Posts and Telecommunications and HIT in 1985 and 1998, respectively. He is currently a professor and president at the School of Electronics and Information Engineering, HIT. His research interests focus on satellite communications and broadband multimedia communication techniques. (Email: qguo@hit.edu.cn)

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Jia, M., Zhang, X., Gu, X. et al. Joint UE Location Energy-Efficient Resource Management in Integrated Satellite and Terrestrial Networks. J. Commun. Inf. Netw. 3, 61–66 (2018). https://doi.org/10.1007/s41650-018-0006-5

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  • DOI: https://doi.org/10.1007/s41650-018-0006-5

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