Read e-book online Anti-Jamming Transmissions in Cognitive Radio Networks PDF

By Liang Xiao

ISBN-10: 3319242903

ISBN-13: 9783319242903

ISBN-10: 331924292X

ISBN-13: 9783319242927

This SpringerBrief examines anti-jamming transmissions in cognitive radio networks (CRNs), together with a number of fresh comparable learn subject matters inside of this box. the writer introduces the transmissions according to uncoordinated unfold spectrum to deal with clever jammers in CRNs.

The writer applies online game concept to enquire the interactions among secondary clients and jammers whereas supplying online game theoretic suggestions to suppress jamming incentives in CRNs. Later chapters assessment the Nash equilibrium and Stackelberg equilibrium of the jamming video games below a variety of community scenarios.

pros and researchers operating in networks, instant communications and knowledge know-how will locate Anti-Jamming Transmissions in Cognitive Radio Networks precious fabric as a reference. Advanced-level scholars learning electric engineering and computing device technology also will locate this short an invaluable tool.

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As shown in Fig. 2b, the utility of the SU deceases with ˛j , while the performance of the jammer increases with ˛j , because both subjective players are less likely to send signals to avoid the highly unfavorable loss due to the action detection error. One the other hand, the jammer with the SE strategy is more intelligent than that with the NE strategy. Consequently, the jammer’s utility at the SE is higher than that at the NE, while the transmitter’s utility is the opposite. 9 1 Objective weight of jammer, αj Fig.

2 Static Jamming Games We first consider a static jamming game, denoted by G1 , in which a jammer and a second user choose their transmit power independently in a time slot. , jammer). Let hs (or hj ) denote the channel power gain between the transmitter (or jammer) and the legitimate receiver, Cx be the transmission cost per unit power of Player x, and be the noise power. The presence indicator of PUs is denoted as ˛, which equals one in the absence of PU and zero otherwise. Both players know these system parameters, possibly by learning from the interaction history.

Econometrica J. Econ. Soc. 47, 263–291 (1979) 20. : Advances in prospect theory: cumulative representation of uncertainty. J. Risk Uncertain. 1 Introduction With the development of cognitive radio networks, a large number of secondary users autonomously and independently use opportunistic radio access in large-scale networks with limited spectrum resources, each aiming to maximize its individual utilities. A selfish secondary user can obtain illegal advantages by blocking the ongoing transmissions of the users that he/she dislikes.

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Anti-Jamming Transmissions in Cognitive Radio Networks by Liang Xiao


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