Optimal Design of SWIPT Systems With Multiple Heterogeneous Users Under Non-linear Energy Harvesting Model

Jiang, Ruihong; Xiong, Ke; Fan, Pingyi; Zhang, Yu; Zhang, Zhong

doi:10.1109/access.2017.2713464

Cited by 61 publications

(53 citation statements)

References 30 publications

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“…Recently, researchers have developed a nonlinear EH model for which analytical EH results tightly match the measured ones in practical systems [13], [14]. More specifically, [14], [15] have shown a scheme of joint time and power allocation and a scheme of joint beamforming optimization and power splitting for SWIPT networks, respectively, taking a non-linear EH model into account. In [16], the authors have investigated rate-energy trade-off behaviour for MIMO SWIPT networks under a non-linear EH model.…”

Section: Introductionmentioning

confidence: 98%

Resource Allocation in SWIPT Networks Under a Nonlinear Energy Harvesting Model: Power Efficiency, User Fairness, and Channel Nonreciprocity

Tran

Kaddoum

Truong

2018

IEEE Trans. Veh. Technol.

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This paper considers a multi-user simultaneous wireless information and power transfer (SWIPT) system with a non-linear energy harvesting model, in which a multi-antenna base station (BS) estimates the downlink channel state information (CSI) via uplink pilots. Each single-antenna user is equipped with a power splitter. Three crucial issues on resource management for this system include: (i) power-efficient improvement, (ii) user-fairness guarantee, and (iii) non-ideal channel reciprocity effect mitigation. Potentially, a resource allocation scheme to address jointly such issues can be devised by using the framework of multi-objective optimization. However, the resulting problem might be complex to solve since the three issues hold different characteristics. Therefore, we propose a novel method to design the resource allocation scheme. In particular, the principle of our method relies on structuralizing mathematically the issues into a cross-layer multi-level optimization problem. On this basis, we then devise solving algorithms and closed-form solutions. Moreover, to instantly adapt the CSI changes in practice while reducing computational burdens, we propose a closed-form suboptimal solution to tackle the problem. Finally, we provide numerical results to show the achievable performance gains using the optimal and suboptimal solutions, and then validate the proposed resource allocation scheme.Index Terms-Energy harvesting, simultaneous wireless information and power transfer, resource allocation.

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Section: Introductionmentioning

confidence: 98%

Resource Allocation in SWIPT Networks Under a Nonlinear Energy Harvesting Model: Power Efficiency, User Fairness, and Channel Nonreciprocity

Tran

Kaddoum

Truong

2018

IEEE Trans. Veh. Technol.

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“…Besides in a hazardous environment (e.g., in toxic environments) or for sensors embedded in building structures or inside human bodies, it is also impossible to replace the batteries periodically. Recently, energy harvesting, which can collect energy (such as solar energy, wind energy, and even radiofrequency signal) from renewable resource in the ambient environment, has become a promising solution to prolong the lifetime of energy-constrained wireless networks [1][2][3][4][5][6]. It is considered as an appealing approach to power wireless node, especially low-power devices.…”

Section: Introductionmentioning

confidence: 99%

“…*Correspondence: rfli@vip.sina.cn 1 College of Comuputer Science and Electronic Engineering, and the Key Laboratory for Embedded and Network Computing, Hunan University, Changsha, People's Republic of China Full list of author information is available at the end of the article Relay-aided wireless networks exploit special diversity to improve system performance [7][8][9]. To exploit these networks' advantages, relay nodes harvesting energy from ambient environments have been investigated.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of energy-harvesting-aware multi-relay networks in Nakagami-m fading

Huang

2018

J Wireless Com Network

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This paper investigates the outage performance of an energy-harvesting(EH) relay-aided cooperative network, where the source node transmits information to its destination node with the help of multiple energy-harvesting cooperative nodes. For such a system, we derive an explicit closed-form expression of outage probability over Nakagami-m fading channels, where the on-off EH model is considered. We simulate the explicit closed-form expression of outage probability with different parameters compared with the related Monte Carlo method. It is shown that the simulation results match well with the numerical ones, which demonstrates the correctness of our theoretical analysis. It indicates that to evaluate the system outage performance, our theoretical results can be applied without running the complex Monte Carlo simulation. Via simulations, it is observed that the system outage performance will be improved when natural source EH relays are employed. Besides, more relays, better system performance.

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“…Otherwise, the approximate optimal solution is obtained by using the largest eigenvalue of W * [20]. Provided that problem (11a)-(11g) is feasible, we will find that the optimal W * will be always rank-one.…”

Section: Sequential Programmingmentioning

confidence: 99%

Energy Efficiency Design for Secure MISO Cognitive Radio Network Based on a Nonlinear EH Model

et al. 2018

Mathematical Problems in Engineering

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In this work, we investigate the secrecy energy efficiency (SEE) optimization problem for a multiple-input single-output (MISO) cognitive radio (CR) network based on a practical nonlinear energy-harvesting (EH) model. In particular, the energy receiver (ER) is assumed to be a potential eavesdropper due to the open architecture of a CR network with simultaneous wireless information and power transfer (SWIPT), such that the confidential message is prone to be intercepted in wireless communications. The aim of this work is to provide a secure transmit beamforming design while satisfying the minimum secrecy rate target, the minimum EH requirement, and the maximum interference leakage power to primary user (PU). In addition, we consider that all the channel state information (CSI) is perfectly known at the secondary transmitter (ST). We formulate this beamforming design as a SEE maximization problem; however, the original optimization problem is not convex due to the nonlinear fractional objective function. To solve it, a novel iterative algorithm is proposed to obtain the globally optimal solution of the primal problem by using the nonlinear fractional programming and sequential programming. Finally, numerical simulation results are presented to validate the performance of the proposed scheme.

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Optimal Design of SWIPT Systems With Multiple Heterogeneous Users Under Non-linear Energy Harvesting Model

Cited by 61 publications

References 30 publications

Resource Allocation in SWIPT Networks Under a Nonlinear Energy Harvesting Model: Power Efficiency, User Fairness, and Channel Nonreciprocity

Resource Allocation in SWIPT Networks Under a Nonlinear Energy Harvesting Model: Power Efficiency, User Fairness, and Channel Nonreciprocity

Performance analysis of energy-harvesting-aware multi-relay networks in Nakagami-m fading

Energy Efficiency Design for Secure MISO Cognitive Radio Network Based on a Nonlinear EH Model

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