Resource Allocation in Wireless Powered Cognitive Radio Networks Based on a Practical Non-Linear Energy Harvesting Model

Wang, Yingjiao; Wang, Yuhao; Zhou, Fuhui; Wu, Yuhang; Zhou, Huilin

doi:10.1109/access.2017.2719704

Cited by 69 publications

(47 citation statements)

References 34 publications

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“…These investigations were extended to MIMO systems in [7]- [9]. More recently, the authors in [10] and [11] have proposed optimal resource allocation schemes in CRNs with SWIPT under the non-linear EH model. However, the beamforming design problems in [6]- [11] were formulated in a single objective framework.…”

Section: Introduction a Motivation And Related Workmentioning

confidence: 99%

Robust Resource Allocation for MISO Cognitive Radio Networks Under Two Practical Non-Linear Energy Harvesting Models

et al. 2018

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To achieve a good tradeoff between the consumed power and the harvested power, a robust resource optimization problem is studied in a multiple-input single-output cognitive radio network with simultaneous wireless information and power transfer under imperfect channel state information. Unlike most of the existing works that assume an ideal linear energy harvesting (EH) model, we assume two practical non-linear EH models. In order to solve the resulting challenging non-convex problem, we propose an algorithm based on successive convex approximation and prove that a rank-one solution is obtained in each iteration of the proposed algorithm. Our simulation results quantify the effect of the sensitivity threshold of the EH circuit on the harvested power.

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Section: Introduction a Motivation And Related Workmentioning

confidence: 99%

Robust Resource Allocation for MISO Cognitive Radio Networks Under Two Practical Non-Linear Energy Harvesting Models

et al. 2018

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“…The prior contributions related to this paper can be divided into two categories based on the EH model adopted, i.e. the linear [20]- [36] and the non-linear EH model [16], [37]- [41]. In the linear EH model, the power harvested increases linearly with the input power, while the EH under the non-linear model exhibits more realistic non-linear characteristics especially at the power-tail.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

“…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. The optimal channel and power allocation scheme were proposed for maximizing the sum transmission rate.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

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

Sun

Zhou

et al. 2019

IEEE J. Select. Areas Commun.

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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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“…Then, a solution was proposed for the optimal energy-data trade-off study for both PDS and PES schemes under different fading conditions. In [30], Wang et al introduced a channel access strategy to maximize the sum throughput of secondary users by jointly optimizing the energy harvesting time, resource allocation, and transmit power. Closed-form expressions for the optimal transmit power and channel allocation were also derived, whilst it was shown that there exists a tradeoff between the sum throughput of CR network and harvested energy.…”

Section: B Related Work and Motivationmentioning

confidence: 99%

Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks

Kishore

Gurugopinath

Sofotasios

et al. 2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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In the present contribution, we propose a novel opportunistic ambient backscatter communication (ABC) framework for radio frequency (RF)-powered cognitive radio (CR) networks. This framework considers opportunistic spectrum sensing integrated with ABC and harvest-then-transmit (HTT) operation strategies. Novel analytic expressions are derived for the average throughput, the average energy consumption and the energy efficiency in the considered set up. These expressions are represented in closed-form and have a tractable algebraic representation which renders them convenient to handle both analytically and numerically. In addition, we formulate an optimization problem to maximize the energy efficiency of the CR system operating in mixed ABC − and HTT − modes, for a given set of constraints including primary interference and imperfect spectrum sensing constraints. Capitalizing on this, we determine the optimal set of parameters which in turn comprise the optimal detection threshold, the optimal degree of trade-off between the CR system operating in the ABC − and HTT − modes and the optimal data transmission time. Extensive results from respective computer simulations are also presented for corroborating the corresponding analytic results and to demonstrate the performance gain of the proposed model in terms of energy efficiency.Index Terms-Ambient backscatter communication, cognitive radio networks, energy detection, energy efficiency, wireless power transfer.

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Resource Allocation in Wireless Powered Cognitive Radio Networks Based on a Practical Non-Linear Energy Harvesting Model

Cited by 69 publications

References 34 publications

Robust Resource Allocation for MISO Cognitive Radio Networks Under Two Practical Non-Linear Energy Harvesting Models

Robust Resource Allocation for MISO Cognitive Radio Networks Under Two Practical Non-Linear Energy Harvesting Models

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

Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks

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