Secure SWIPT Networks Based on a Non-Linear Energy Harvesting Model

Boshkovska, Elena; Zlatanov, Nikola; Dai, Linglong; Ng, Derrick Wing Kwan; Schober, Robert

doi:10.1109/wcncw.2017.7919062

Cited by 48 publications

(44 citation statements)

References 25 publications

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“…is the mean square error (MSE), and c g,m is the channel equalization coefficient. Substituting (27) into (29), we have…”

Section: Joint Optimization Of Power Allocation and Power Splittingmentioning

confidence: 99%

“…The key idea of SWIPT is that both information and energy could be extracted from the same received RF signals, which can be realized by power splitting receivers in practice [26]. With the help of SWIPT, the battery-powered wireless communication devices can harvest energy from the RF signals to prolong their lifetime, which provides the potential to explore more energyefficient networks, especially for Internet of Things (IoT) with millions of wireless devices [27]. However, the trade-off between information rate and harvested energy level should be carefully considered to facilitate efficient SWIPT in multi-user systems, since inter-user interferences are usually harmful for the information decoding (ID), while they can be useful for energy harvesting (EH) [21].…”

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confidence: 99%

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Hybrid Precoding-Based Millimeter-Wave Massive MIMO-NOMA With Simultaneous Wireless Information and Power Transfer

Dai

Wang

Peng

et al. 2019

IEEE J. Select. Areas Commun.

Self Cite

267

291

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Non-orthogonal multiple access (NOMA) has been recently considered in millimeter-wave (mmWave) massive MIMO systems to further enhance the spectrum efficiency. In addition, simultaneous wireless information and power transfer (SWIPT) is a promising solution to maximize the energy efficiency. In this paper, for the first time, we investigate the integration of SWIPT in mmWave massive MIMO-NOMA systems. As mmWave massive MIMO will likely use hybrid precoding (HP) to significantly reduce the number of required radio-frequency (RF) chains without an obvious performance loss, where the fully digital precoder is decomposed into a high-dimensional analog precoder and a low-dimensional digital precoder, we propose to apply SWIPT in HP-based MIMO-NOMA systems, where each user can extract both information and energy from the received RF signals by using a power splitting receiver. Specifically, the cluster-head selection (CHS) algorithm is proposed to select one user for each beam at first, and then the analog precoding is designed according to the selected cluster heads for all beams. After that, user grouping is performed based on the correlation of users' equivalent channels. Then, the digital precoding is designed by selecting users with the strongest equivalent channel gain in each beam. Finally, the achievable sum rate is maximized by jointly optimizing power allocation for mmWave massive MIMO-NOMA and power splitting factors for SWIPT, and an iterative optimization algorithm is developed to solve the non-convex problem. Simulation results show that the proposed HP-based MIMO-NOMA with SWIPT can achieve higher spectrum and energy efficiency compared with HP-based MIMO-OMA with SWIPT. Index Terms-SWIPT, mmWave, massive MIMO, NOMA, hybrid precoding, power allocation, power splitting. degree in communication and information systems from the Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2005. Afterward, he joined BUPT, where he has been a Full Professor with the School of Information and Communication Engineering since 2012. He leads a Research Group focusing on wireless transmission and networking technologies with the Key Laboratory of Universal Wireless Communications (Ministry of Education), BUPT. His main research areas include wireless communication theory, radio signal processing, and convex optimizations, with a particular interests in cooperative communication, selforganization networking, heterogeneous networking, cloud communication, and internet of things. He has authored/coauthored over 100 refereed IEEE journal papers and over 200 conference proceeding papers. Dr. (Springer Press)], 17 book chapters, approximately 100 journal papers, 50 conference papers, and over 50 patents in these areas. He has contributed to the design, standardization, and development of 4G TD-LTE and 5G mobile communication systems. His current research interests include 5G mobile communications, network architectures, vehicular communication networks, and Internet of things. He served as a member and a...

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“…is the mean square error (MSE), and c g,m is the channel equalization coefficient. Substituting (27) into (29), we have…”

Section: Joint Optimization Of Power Allocation and Power Splittingmentioning

confidence: 99%

mentioning

confidence: 99%

Hybrid Precoding-Based Millimeter-Wave Massive MIMO-NOMA With Simultaneous Wireless Information and Power Transfer

Dai

Wang

Peng

et al. 2019

IEEE J. Select. Areas Commun.

Self Cite

267

291

View full text Add to dashboard Cite

show abstract

“…Recently, under the idealized perfect CSI assumption, the rate-energy region was quantified in MIMO systems relying on SWIPT and the practical non-linear EH model in [39]. In order to improve the security of a SWIPT system, a robust beamforming design problem was studied under a bounded CSI error model in [40]. The investigations in [16], [37]- [40] were performed in the context of conventional SWIPT systems.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

“…In order to improve the security of a SWIPT system, a robust beamforming design problem was studied under a bounded CSI error model in [40]. The investigations in [16], [37]- [40] were performed in the context of conventional SWIPT systems. Recently, Wang et al [41] extended a range of classic resource allocation problems into a wireless powered CR counterpart.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

Robust Beamforming Design in a NOMA Cognitive Radio Network Relying on SWIPT

Sun

Zhou

et al. 2019

IEEE J. Select. Areas Commun.

114

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This paper studies a multiple-input single-output non-orthogonal multiple access cognitive radio network relying on simultaneous wireless information and power transfer. A realistic non-linear energy harvesting model is applied and a power splitting architecture is adopted at each secondary user (SU).Since it is difficult to obtain perfect channel state information (CSI) in practice, instead either a bounded or gaussian CSI error model is considered. Our robust beamforming and power splitting ratio are jointly designed for two problems with different objectives, namely that of minimizing the transmission power of the cognitive base station and that of maximizing the total harvested energy of the SUs, respectively. The optimization problems are challenging to solve, mainly because of the non-linear structure of the energy harvesting and CSI errors models. We converted them into convex forms by using semi-definite relaxation. For the minimum transmission power problem, we obtain the rank-2 solution under the bounded CSI error model, while for the maximum energy harvesting problem, a two-loop procedure using a one-dimensional search is proposed. Our simulation results show that the proposed scheme significantly outperforms its traditional orthogonal multiple access counterpart. Furthermore, the performance using the gaussian CSI error model is generally better than that using the bounded CSI error model. Index TermsRobust beamforming, non-orthogonal multiple access, non-linear energy harvesting model, cognitive radio, imperfect channel state information.

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“…In [17,26], their optimization goal was to maximize the collected energy under the constraints of IRs' SINR and the total transmission power from the base station. And in [27], the author considered the constraints of the non-linearity of energy harvesting circuits and the quality of service requirements for secure communication.The optimization goal of [18][19][20][21] was to minimize the total transmission power under the constraints of the SINR of IRs and the collected energy of ERs. Particularly, References [28,29] considered the imperfect channel statement information (CSI).…”

Section: Introductionmentioning

confidence: 99%

A novel joint transmit beamforming and receive time switching strategy for MISO SWIPT system

Wang

et al. 2018

J Wireless Com Network

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In multi-antenna simultaneous wireless information and power transfer (SWIPT) system, beamforming strategy has been widely analyzed due to the increasing signal strength. It can not only increase the signal strength in the direction of the antenna array but also reduce the interference strength, which is a good option for SWIPT system to achieve directional transmission of information and energy. However, the traditional beamforming strategy only uses single beamforming vector, and it does not consider the differences between information and energy in SWIPT system. Actually, interference can also be collected as energy. Based on the traditional beamforming strategy, the resources in SWIPT system are not properly utilized. Therefore, this paper proposes a joint beamforming strategy in multi-input and single-output (MISO) SWIPT system. We extend the traditional single beamforming vector into two beamforming vectors to realize independent control of information and energy based on time switching (TS) receiving mode. In information receiving phase, information beamforming vector is used to carry specific user's information for information alignment. Since there is an orthogonal relationship between information beamforming vector and channel gain vector, we can achieve to eliminate interference and realize error-free information transmission. In energy receiving phase, energy beamforming vector is used to carry user's energy. Energy beamforming vector and channel gain vector do not require the orthogonality so that the interference can also be collected as energy. In this paper, we model it as a transmission power optimization (TPO) problem, which is a complex non-convex problem. We firstly transform it into a convex problem, and then, it can be solved using CVX toolbox. Simulation results show that the proposed strategy could increase the energy collection at the same transmission power and also decrease the transmission power at the same energy collection.

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Secure SWIPT Networks Based on a Non-Linear Energy Harvesting Model

Cited by 48 publications

References 25 publications

Hybrid Precoding-Based Millimeter-Wave Massive MIMO-NOMA With Simultaneous Wireless Information and Power Transfer

Hybrid Precoding-Based Millimeter-Wave Massive MIMO-NOMA With Simultaneous Wireless Information and Power Transfer

Robust Beamforming Design in a NOMA Cognitive Radio Network Relying on SWIPT

A novel joint transmit beamforming and receive time switching strategy for MISO SWIPT system

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