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Performance Analysis for Malicious Interference Avoidance of Backscatter Communications Based on Game Theory  

Hong, Seung Gwan (광운대학교 전파공학과 소속 유비쿼터스 통신 연구실)
Hwang, Yu Min (광운대학교 전파공학과 소속 유비쿼터스 통신 연구실)
Sun, Young Khyu (광운대학교 전파공학과 소속 유비쿼터스 통신 연구실)
Shin, Yoan (숭실대학교 정보통신전파공학부 소속 통신및정보처리 연구실)
Kim, Dong In (성균관대학교 정보통신공학부 소속 무선통신 연구실)
Kim, Jin Young (광운대학교 전파공학과 소속 유비쿼터스 통신 연구실)
Publication Information
Journal of Satellite, Information and Communications / v.12, no.4, 2017 , pp. 100-105 More about this Journal
Abstract
In this paper, we study an interference avoidance scenario in the presence of a interferer which can rapidly observe the transmit power of backscatter communications and effectively interrupt backscatter signals. We consider a power control with a sub-channel allocation to avoid interference attacks and a power-splitting ratio for backscattering and RF energy harvesting in sensors. We formulate the problem based on a Stackelberg game theory and compute the optimal transmit power, power-splitting ratio, and sub-channel allocation parameter to maximize a utility function against the interferer. We propose the utility maximization using Lagrangian dual decomposition for the backscatter communications and the interferer to prove the existence of the Stackelberg equilibrium. Numerical results show that the proposed algorithms effectively maximize the utility, compared to that of the algorithm based on the Nash game, so as to overcome a malicious interference in backscatter communications.
Keywords
backscatter communications; game theory; Stackelberg game; malicious interferer; lagrangian;
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