Rank-Two Beamformed Secure Multicasting for Wireless Information and Power Transfer

Zhu, Bin; Ge, Jianhua; Huang, Yun‐Feng; Yang, Yuli; Lin, Meilu

doi:10.1109/lsp.2013.2296941

Cited by 41 publications

(31 citation statements)

References 9 publications

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“…where P ωU,ω U (a) denotes the element of matrix P U (a) as defined in (5). Assume that the linear programming problem is feasible, the stationary best response policy of the user can be obtained as follows:…”

Section: A User Side Analysismentioning

confidence: 99%

“…The constrained Nash equilibrium ensures that the player cannot achieve higher reward by adopting 5 any other stationary policies while the other player does not change their stationary policy.…”

Section: Solution and Algorithmmentioning

confidence: 99%

“…In wireless energy harvesting and wireless powered networks, most of the work related to security is to analyze and optimize secrecy rate [3], [4], [5], [6], [7], [8]. For example, the authors of [3] optimized beamforming of the nodes in the network with passive eavesdroppers.…”

Section: Introductionmentioning

confidence: 99%

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Game theoretic modeling of jamming attack in wireless powered communication networks

Niyato

Wang

Kim

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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In wireless powered networks, a user can make a request and use the wireless energy transferred from an energy source for its data transmission. However, due to broadcast nature of wireless energy transfer (e.g., RF energy), a malicious node (i.e., an attacker) can also intercept the energy and use it to perform an attack by jamming the data transmission of the user. We consider such a jamming attack where the user and attacker are aware of each other. We formulate a game theoretic model to analyze the energy request and data transmission policy of the user and the attack policy of the attacker when the user and the attacker both want to maximize their own rewards. We use an iterative algorithm designed based on the best response dynamics to obtain the solution defined in terms of the constrained Nash equilibrium. The numerical results show not only the convergence of the proposed algorithm, but also the optimal reward of the user under different energy cost constraints.

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Section: A User Side Analysismentioning

confidence: 99%

Section: Solution and Algorithmmentioning

confidence: 99%

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Game theoretic modeling of jamming attack in wireless powered communication networks

Niyato

Wang

Kim

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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show abstract

“…Some of them, such as [3], [5], [8]- [11], [16]- [19], [22]- [23], [27]- [29], [34]- [35], studied the secrecy transmission in SWIPT while considering perfect/imperfect CSI. Making use of artificial noise method, the authors of [44] designed a joint information and energy transmit beamforming scheme to maximize the secrecy rate of the IR in a secret MISO SWIPT system.…”

Section: Introductionmentioning

confidence: 99%

On Secrecy Performance of MISO SWIPT Systems With TAS and Imperfect CSI

Pan

Lei

Deng

et al. 2016

IEEE Trans. Commun.

132

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“…In [12], [13], the authors presented the optimal beamforming design and power allocation scheme for multiple-input single-output (MISO) systems in the presence of passive eavesdroppers, later in [14], the issue of uncertain eavesdroppers was tackled, where joint optimization of information and energy beamforming and power allocation were studied. Latest works have considered the security issue in more sophisticated SWIPT systems, such as relay [15], multicast [16], cognitive radio [17] and OFDMA systems [18]. A common of these works is that they consider hybrid network architecture, where the information source also acts as the energy source.…”

mentioning

confidence: 99%