Robust secure transmission for wireless information and power transfer in heterogeneous networks

Huang, Kaizhi; Bo, Zhang

doi:10.1049/iet-com.2018.5529

Cited by 5 publications

(7 citation statements)

References 37 publications

(71 reference statements)

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“…we can transform (8) into (9). It is noticed that the worst-case channel realisation of h B and h E, k are given parameters in (9). Although (9) is not equivalent to the original problem (8), we can easily draw an inference that the optimal solution to (9) is also W ⋆ (β), Q z ⋆ (β) , which is the same with the optimal solution to (8).…”

Section: Appendixmentioning

confidence: 97%

Section: Optimality Of Rank-one Beamformingmentioning

confidence: 99%

“…are given parameters in (9). Although (9) is not equivalent to the original problem (8), we can easily draw an inference that the optimal solution to (8), W ⋆ (β), Q z ⋆ (β) is also the optimal solution to (9). Moreover, by checking the Karush-Kuhn-Tucker (KKT) optimality conditions of (9), we can prove that the optimal solution to (9) is always ANaided rank-one beamforming.…”

Section: Optimality Of Rank-one Beamformingmentioning

confidence: 99%

“…we can transform (8) into (9). It is noticed that the worst-case channel realisation of h B and h E, k are given parameters in (9).…”

Section: Appendixmentioning

confidence: 99%

“…In this context, many multi-antenna related physical-layer security works have been developed to investigate secure transmission schemes (e.g, [3][4][5][6]). Additionally, these multi-antenna secure transmission schemes have been fully investigated over the various wireless communications systems, including conventional cellular systems [7], wireless powered heterogeneous network [8,9], hybrid satellite-terrestrial relay network [10], device-to-device underlaid cellular network [11], energy harvesting cognitive radio network [12] etc. Generally speaking, most of the multi-antenna secure transmission schemes fall into two broad categories: transmit beamforming [12][13][14][15][16][17] and joint optimisation of beamforming and artificial noise (AN) [9,[18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

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AN‐aided probabilistic robust and secure beamforming with imperfect LCSI and statistical ECSI

2020

IET Communications

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Section: Appendixmentioning

confidence: 97%

Section: Optimality Of Rank-one Beamformingmentioning

confidence: 99%

Section: Optimality Of Rank-one Beamformingmentioning

confidence: 99%

“…we can transform (8) into (9). It is noticed that the worst-case channel realisation of h B and h E, k are given parameters in (9).…”

Section: Appendixmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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AN‐aided probabilistic robust and secure beamforming with imperfect LCSI and statistical ECSI

2020

IET Communications

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Analyses of the coupling model combining field and circuit equations based on solenoidal coils for wireless power transfer

Song

Liu

Zhang

et al. 2020

IET Power Electronics

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A method using the coupling model combining the field and circuit equations is put forward to describe the wireless power transfer (WPT) system in this study. Hollow solenoidal resonant coils are usually excited by alternating currents in practice, doing studies related to the solutions to the solenoidal coils in alternating electromagnetic fields is important. In this study, the analytic expressions of the alternating magnetic vector potential are obtained from Maxwell's formulas for timeharmonic electromagnetic fields, and the mathematical expressions of the electric field intensity, the magnetic flux density, the induced voltage, and the mutual inductance are established for the coaxially symmetric solenoidal coils. The field-circuit coupling model is built for WPT, and the relationship between the input and output variables is obtained. The equations contain the dielectric information of the transmission space and the coils' radii and turn numbers, and can be used for analysing the dielectric effects of the space at lower or higher frequencies. The results are verified by experiments of 2-coil and 4-coil structures. The advantages of being able to analyse the distribution of the fields are illustrated by a comparison experiment with a laterally displaced coil, which is valuable to WPT design.

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Mobility Prediction Method to Optimize Resource Allocation in Heterogeneous Networks

Tian

et al. 2019

2019 IEEE International Conference on Communications Workshops (ICC Workshops)

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Robust secure transmission for wireless information and power transfer in heterogeneous networks

Cited by 5 publications

References 37 publications

AN‐aided probabilistic robust and secure beamforming with imperfect LCSI and statistical ECSI

AN‐aided probabilistic robust and secure beamforming with imperfect LCSI and statistical ECSI

Analyses of the coupling model combining field and circuit equations based on solenoidal coils for wireless power transfer

Mobility Prediction Method to Optimize Resource Allocation in Heterogeneous Networks

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