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Zhen Wang,Jichang Guo,Zhiqiong Chen,Zhiqiong Chen,Lisu Yu,Yuhao Wang,Hong Rao 한국통신학회 2022 Journal of communications and networks Vol.24 No.2
This paper considers a novel scenario, where a physicallayer security issue is studied in unmanned aerial vehicles(UAVs)-assisted cognitive relay system. A secondary unmannedaerial vehicle (SUAV) relay delivers information from multiplesecondary Internet of things (IoT) devices to a secondary user(SU) under the spectrum sharing with primary users (PUs). Inthe processing of the information transmission of the SUAV relay,a secondary eavesdropper (SE) wiretaps the information transmittedby the UAV relay with imperfect location information. Inorder to confuse the SE, a friendly SUAV jammer is employedto transmit jamming signals to the SE. To prevent the SEwiretapping information as much as possible, we aim to maximizeaverage worst-case secrecy rate of the secondary relay networkby jointly optimizing robust trajectories and power of the SUAVrelay and jammer under the power, trajectories, informationcausality and multiple interference temperature (IT) thresholdconstraints. Thus, we formulate the original problem whichis a challenging non-convex problem. We propose an effectivealgorithm to solve the original problem and attain locally optimalsolution based on the successive convex approximation (SCA)technology and the alternate optimization method. Simulationsare offered to demonstrate that our proposed resource allocationscheme can effectively improve the security performance ofthe SUAV relay network in comparison with other benchmarkschemes.
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Ordered Electricity Consumption Optimization Strategy Considering Real-time Electricity Price
Xiong Yongkang,Ye Zongyang,Chen Ying,Xia Yonghong,Wang Qikai,Yu Lisu 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.2
Aiming at the lack of consideration of real-time electricity price in the orderly electricity consumption strategy, this paper proposes an optimized model of orderly electricity consumption considering real-time electricity price, with full consideration of the impact of real-time electricity price on the orderly electricity consumption strategy. Setting the comprehensive optimization of economic cost and user satisfaction as the goal, the model takes the real-time price of each period and the orderly power consumption measures of each user as the decision variables. Under the premise of ensuring the reliability of power supply and other constraints, the decision variable results under the optimal objective function are obtained. The model's orderly power consumption measures change with the electricity price change. The analysis results of the example show that the application of the decision model can lower the maximum daily load than the maximum supply power. In addition, compared with the orderly power consumption model without considering the real-time price, the power company's economic benefit under the strategy proposed in this paper has increased by 5%, and user satisfaction has increased by 7%.
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