Signal and artificial noise beamforming for secure simultaneous wireless information and power transfer multiple-input multiple-output relaying systems

2016 ◽  
Vol 10 (7) ◽  
pp. 796-804 ◽  
Author(s):  
Guangchi Zhang ◽  
Liang Yang ◽  
Xueyi Li ◽  
Guangping Li ◽  
Miao Cui
Keyword(s):  
Multiple Input Multiple Output ◽  
Artificial Noise ◽  
Power Transfer ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Relaying Systems

scholarly journals Secure downlink transmission with finite resolution analog beamforming in massive multiple-input multiple-output system

2018 ◽  
Vol 14 (9) ◽  
pp. 155014771880225 ◽  
Author(s):  
Xianyu Zhang ◽  
Daoxing Guo ◽  
Kongzhe Yang ◽  
Silin Xie
Keyword(s):  
Closed Form ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Artificial Noise ◽  
Secrecy Rate ◽  
Finite Resolution ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Output System ◽  
Ergodic Secrecy Rate

To reduce the number of radio-frequency chains of base station, the use of finite resolution analog beamforming is desirbale in massive multiple-input multiple-output system. This article investigates the secure downlink massive multiple-input multiple-output data transmission with artificial noise at base station in the presence of a multi-antenna passive eavesdropper. The achievable user’s ergodic information rate and ergodic capacity of the eavesdropper are analyzed in detail, respectively. With maximum ratio transmission or maximum ratio combining, we derive closed-form expressions for a tight lower bound on ergodic secrecy rate and tight upper bound for secrecy outage probability. Based on these analytical expressions, the effects of various system parameters on secrecy performance, such as power allocation factor, number of eavesdropper’s antennas, number of the user terminals, total transmission power, and finite resolution analog beamforming parameters, are investigated in detail. Also, the optimal power allocation scheme between data and artificial noise signals is achieved in closed form to maximize the ergodic secrecy rate. In addition, we derive the conditions that the secure massive multiple-input multiple-output system need to meet to obtain a positive secrecy rate. Finally, numerical simulation results validate the system’s secrecy performance and verify all the theoretical analytical results.

Implementation of a MIMO system for Wireless Power Transfer Using Acoustic Approach

2016 ◽  
Vol 7 (3) ◽  
pp. 946 ◽  
Author(s):  
Thoriq Zaid ◽  
Shakir Saat ◽  
Norezmi Jamal ◽  
Siti Huzaimah Husin ◽  
Yusmarnita Yusof ◽  
...  
Keyword(s):  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Power Converter ◽  
Acoustic Energy ◽  
Power Transfer ◽  
Wireless Power ◽  
Received Power ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Experimental Works

<span>This paper presents a development of Acoustic energy transfer (AET) system through the air medium by implementing a Multiple Input-Multiple Output (MIMO) arrangement of transducers to transmit energy. AET system allows power to be transmitted without wire connection. The MIMO system is proposed in this paper to increase the efficiency of the transmitting power by multiplying the received power. The simulation and experimental works are carried out using a Class E power converter and the obtained results are analyzed accordingly. Based on the experimental results, the 18.57mW output power is obtained at 40kHz operating frequency when triple transducer is used. It  contributes to 30.96% efficiency to the power transfer system.</span>

scholarly journals Multiple Input Multiple Output Resonant Inductive WPT Link: Optimal Terminations for Efficiency Maximization

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2194
Author(s):  
Giuseppina Monti ◽  
Mauro Mongiardo ◽  
Ben Minnaert ◽  
Alessandra Costanzo ◽  
Luciano Tarricone
Keyword(s):  
Eigenvalue Problem ◽  
Multiple Input Multiple Output ◽  
Wireless Power Transfer ◽  
General Purpose ◽  
Electrical Network ◽  
Power Transfer ◽  
Wireless Power ◽  
Full Wave ◽  
Multiple Input ◽  
Input Multiple Output

In this paper a general-purpose procedure for optimizing a resonant inductive wireless power transfer link adopting a multiple-input-multiple-output (MIMO) configuration is presented. The wireless link is described in a general–purpose way as a multi-port electrical network that can be the result of either analytical calculations, full–wave simulations, or measurements. An eigenvalue problem is then derived to determine the link optimal impedance terminations for efficiency maximization. A step-by-step procedure is proposed to solve the eigenvalue problem using a computer algebra system, it provides the configuration of the link, optimal sources, and loads for maximizing the efficiency. The main advantage of the proposed approach is that it is general: it is valid for any strictly–passive multi–port network and is therefore applicable to any wireless power transfer (WPT) link. To validate the presented theory, an example of application is illustrated for a link using three transmitters and two receivers whose impedance matrix was derived from full-wave simulations.

scholarly journals Robust Secure Energy Efficiency Optimization in the MIMO Wiretap Channel with Energy Harvesting

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wenfeng Ma ◽  
Cong Wang ◽  
Hui Tian ◽  
Xun Cao ◽  
Yuanxiang Yao
Keyword(s):  
Energy Efficiency ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Mimo Channel ◽  
Artificial Noise ◽  
Power Splitting ◽  
Power Budget ◽  
Wiretap Channel ◽  
Multiple Input ◽  
Input Multiple Output

This work considers a secure multiple-input multiple-output (MIMO) channel where the energy receiver (ER) is a potential eavesdropper (Eve). Specifically, we aim to maximize the secrecy energy efficiency (SEE) via jointly designing the transmit precoding matrix and the artificial noise (AN) covariance at the base station (BS), as well as the power splitting (PS) ratio at the desired receiver (DR), subject to the constraints of the transmit power budget and harvested energy threshold. To handle the formulated highly nonconvex fractional problem, we apply the successive convex approximation (SCA) method to transform the objective and constraint into a tractable form. Then, a penalty-based iterative algorithm is proposed. Finally, simulation results validate the performance of the proposed design.

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