Robust Power-Splitting SWIPT Beamforming for Broadcast Channels

Liao, Jialing; Khandaker, Muhammad R. A.; Wong, Kai-Kit

doi:10.1109/lcomm.2015.2498928

Cited by 50 publications

(34 citation statements)

References 8 publications

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“…On the other hand, due to the low energy conversion efficiency at the ERs, a high received power level is required at each ER to compensate for the power-conversion loss. Therefore, artificial noise is utilized to satisfy these contradictory goals [5], [8].…”

Section: Proposed Robust Probabilistic-constrained Optimization mentioning

confidence: 99%

“…Robust beamforming designs for SWIPT have been mostly based on a worst-case approach [5], [7], [8]. Specifically, the imperfection of the CSI link between the transmitter and the receiver is captured by an error vector with random elements.…”

Section: Introductionmentioning

confidence: 99%

“…To overcome this obstacle, the norms of the error vectors are assumed to be bounded by known values. Then, using the S-procedure [9], the QoS constraints of the SWIPT system are replaced by a finite number of constraints representing upper bounds on the CSI errors [5], [7], [8], [10]. This conservative design approach requires an exceeding amount of system resources to protect rarely occurring worst cases.…”

Section: Introductionmentioning

confidence: 99%

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Robust Optimization with Probabilistic Constraints for Power-Efficient and Secure SWIPT

Lê

Vien

Nguyen

et al. 2016

2016 IEEE Global Communications Conference (GLOBECOM)

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Abstract-In this paper, we propose beamforming schemes to simultaneously transmit data to multiple information receivers (IRs) while transfering power wirelessly to multiple energyharvesting receivers (ERs). Taking into account the imperfection of the instantaneous channel state information, we introduce a probabilistic-constrained optimization problem to minimize the total transmit power while guaranteeing data transmission reliability, secure data transmission, and power transfer reliability. As the proposed optimization problem is non-convex and has an infinite number of constraints, we propose two robust reformulations of the original problem adopting safe-convexapproximation techniques. The derived robust formulations are in semidefinite programming forms, hence, they can be effectively solved by standard convex optimization packages. Simulation results confirm the superiority of the proposed approaches to a baseline scheme in guaranteeing transmission security.

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Section: Proposed Robust Probabilistic-constrained Optimization mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Robust Optimization with Probabilistic Constraints for Power-Efficient and Secure SWIPT

Lê

Vien

Nguyen

et al. 2016

2016 IEEE Global Communications Conference (GLOBECOM)

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“…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). And Reference [30] considered separated IRs and ERs in cellular networks to prevent possible eavesdroppers of ERs to detect information aimed for IRs.…”

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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“…Recently, SWIPT was proposed in different receivers (i.e., colocated and separated receivers) [3]. Power splitting (PS) is a significant SWIPT scheme for co-located receivers, which separate the transmission signal into two parts: information decoding (ID) and energy harvesting (EH) simultaneously [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Robust Optimization for AN-Aided Transmission and Power Splitting for Secure MISO SWIPT System

2016

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This letter investigates a multiple-input singleoutput (MISO) secrecy channel, where the legitimate user and the eavesdroppers employ power splitting (PS) scheme for information decoding (ID) and energy harvesting (EH), simultaneously. An artificial noise (AN) is embedded the information bearing signal to interfere the eavesdroppers, and to harvest power by all receivers (i.e., legitimate user and eavesdroppers). We consider the robust secrecy rate maximization problem subject to the transmit power and the EH constraints by incorporating normbounded channel uncertainty. This robust optimization problem is not convex, thus, it can be reformulated as a convex one along with matrix transformations and convex conic optimization techniques, which is solved iteratively based on constrained concaveconvex procedure (CCCP) based algorithm. Finally, numerical results are provided to validate our proposed algorithm.

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Robust Power-Splitting SWIPT Beamforming for Broadcast Channels

Cited by 50 publications

References 8 publications

Robust Optimization with Probabilistic Constraints for Power-Efficient and Secure SWIPT

Robust Optimization with Probabilistic Constraints for Power-Efficient and Secure SWIPT

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

Robust Optimization for AN-Aided Transmission and Power Splitting for Secure MISO SWIPT System

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