Game Theoretic Power Allocation for Coexisting Multistatic Radar and Communication Systems

Chenguang Shi, Fei Wang, Mathini Sellathurai, Jianjiang Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

In this paper, a non-cooperative game theoretic power allocation (NGTPA) scheme is proposed for coexisting multistatic radar and wireless communication systems. Due to the fact that each radar in the system is selfish-interested to maximize its own utility, we utilize the non-cooperative game theory to tackle the power allocation problem. The main objective of the multistatic radar is to minimize the power consumption of each radar by optimizing the transmission power allocation, which are constrained by a predefined signal-to-interference-plus-noise ratio (SINR) requirement for target detection and a maximum acceptable interference power threshold for communication system. First, taking into consideration the target detection performance and received interference power at the communication receiver, a novel utility function is defined and adopted as the optimization criterion for the NGTPA strategy. Then, the existence and uniqueness of the Nash equilibrium (NE) point are analytically proved. Furthermore, an iterative power allocation algorithm is developed that converges quickly to the NE of the non-cooperative game model. Numerical simulations are provided to demonstrate the superior performance of the proposed NGTPA algorithm.

Original languageEnglish
Title of host publication2018 14th IEEE International Conference on Signal Processing (ICSP)
EditorsYuan Baozong, Ruan Qiuqi, Zhao Yao, An Gaoyun
PublisherIEEE
Pages872-877
Number of pages6
ISBN (Electronic)9781538646731
DOIs
Publication statusPublished - 28 Feb 2019
Event14th IEEE International Conference on Signal Processing 2018 - Beijing, China
Duration: 12 Aug 201816 Aug 2018

Publication series

NameInternational Conference on Signal Processing
PublisherIEEE
ISSN (Electronic)2164-5221

Conference

Conference14th IEEE International Conference on Signal Processing 2018
CountryChina
CityBeijing
Period12/08/1816/08/18

Fingerprint

Radar systems
Communication systems
Radar
Target tracking
Game theory
Power transmission
Electric power utilization
Communication
Computer simulation

Keywords

  • Game theory
  • Multistatic radar
  • Power allocation
  • Spectral coexistence

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Computer Science Applications

Cite this

Shi, C., Wang, F., Sellathurai, M., & Zhou, J. (2019). Game Theoretic Power Allocation for Coexisting Multistatic Radar and Communication Systems. In Y. Baozong, R. Qiuqi, Z. Yao, & A. Gaoyun (Eds.), 2018 14th IEEE International Conference on Signal Processing (ICSP) (pp. 872-877). (International Conference on Signal Processing). IEEE. https://doi.org/10.1109/ICSP.2018.8652396
Shi, Chenguang ; Wang, Fei ; Sellathurai, Mathini ; Zhou, Jianjiang. / Game Theoretic Power Allocation for Coexisting Multistatic Radar and Communication Systems. 2018 14th IEEE International Conference on Signal Processing (ICSP). editor / Yuan Baozong ; Ruan Qiuqi ; Zhao Yao ; An Gaoyun. IEEE, 2019. pp. 872-877 (International Conference on Signal Processing).
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Shi, C, Wang, F, Sellathurai, M & Zhou, J 2019, Game Theoretic Power Allocation for Coexisting Multistatic Radar and Communication Systems. in Y Baozong, R Qiuqi, Z Yao & A Gaoyun (eds), 2018 14th IEEE International Conference on Signal Processing (ICSP). International Conference on Signal Processing, IEEE, pp. 872-877, 14th IEEE International Conference on Signal Processing 2018, Beijing, China, 12/08/18. https://doi.org/10.1109/ICSP.2018.8652396

Game Theoretic Power Allocation for Coexisting Multistatic Radar and Communication Systems. / Shi, Chenguang; Wang, Fei; Sellathurai, Mathini; Zhou, Jianjiang.

2018 14th IEEE International Conference on Signal Processing (ICSP). ed. / Yuan Baozong; Ruan Qiuqi; Zhao Yao; An Gaoyun. IEEE, 2019. p. 872-877 (International Conference on Signal Processing).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - In this paper, a non-cooperative game theoretic power allocation (NGTPA) scheme is proposed for coexisting multistatic radar and wireless communication systems. Due to the fact that each radar in the system is selfish-interested to maximize its own utility, we utilize the non-cooperative game theory to tackle the power allocation problem. The main objective of the multistatic radar is to minimize the power consumption of each radar by optimizing the transmission power allocation, which are constrained by a predefined signal-to-interference-plus-noise ratio (SINR) requirement for target detection and a maximum acceptable interference power threshold for communication system. First, taking into consideration the target detection performance and received interference power at the communication receiver, a novel utility function is defined and adopted as the optimization criterion for the NGTPA strategy. Then, the existence and uniqueness of the Nash equilibrium (NE) point are analytically proved. Furthermore, an iterative power allocation algorithm is developed that converges quickly to the NE of the non-cooperative game model. Numerical simulations are provided to demonstrate the superior performance of the proposed NGTPA algorithm.

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Shi C, Wang F, Sellathurai M, Zhou J. Game Theoretic Power Allocation for Coexisting Multistatic Radar and Communication Systems. In Baozong Y, Qiuqi R, Yao Z, Gaoyun A, editors, 2018 14th IEEE International Conference on Signal Processing (ICSP). IEEE. 2019. p. 872-877. (International Conference on Signal Processing). https://doi.org/10.1109/ICSP.2018.8652396