Secure and Energy-Efficient Resource Allocation for Wireless Power Enabled Full-/Half-Duplex Multiple-Antenna Relay Systems

Chang, Zheng; Hou, Xin; Guo, Xijuan; Ristaniemi, Tapani; Han, Zhu

doi:10.1109/tvt.2017.2733040

Cited by 27 publications

(8 citation statements)

References 32 publications

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“…The authors of [6] investigate a SWIPT relay network and propose to maximize the weighted sum rate through designing power splitting ratio at each relay, and proposing power allocation, channel assignment and relay association schemes. In [7], a resource allocation scheme for downlink relay system is studied with the objective to optimize the defined secure EE. In [8], the authors propose a energy efficient resource allocation scheme for a SWIPT system, where a power BS is dedicated to transfer wireless power to multiple users and the users can utilize the received power to transmit data to information receiver.…”

Section: Related Workmentioning

confidence: 99%

Distributed Resource Allocation for Energy Efficiency in OFDMA Multicell Networks With Wireless Power Transfer

Chang

Wang

Guo

et al. 2019

IEEE J. Select. Areas Commun.

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Section: Related Workmentioning

confidence: 99%

Distributed Resource Allocation for Energy Efficiency in OFDMA Multicell Networks With Wireless Power Transfer

Chang

Wang

Guo

et al. 2019

IEEE J. Select. Areas Commun.

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“…The problem of energy allocation is taken into account, which analyzes the power allocation over a finite horizon to achieve the target of improving the wireless network performance in [11]. Chang follows the view of energy efficiency to research the performance of energy harvesting communication networks under the quality of service (QoS) constraints [12]. An optimal energy harvesting management strategy is put forward through the different energy collection methods focusing on the off-line optimal strategy [13].…”

Section: Introductionmentioning

confidence: 99%

The Optimal Control Policy for Point-to-Point Wireless Body Area Network Based on Simultaneous Time-Ratio and Transmission Power Allocation

Ling

Shao

2019

IEEE Access

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In this paper, we propose an optimal control policy based on time-ratio and transmission power allocation in wireless body area networks (WBANs), where the duty cycle is adopted. For the purpose of maximizing the information throughput, the whole duty cycle is divided into two states: sleep state and active state. During the sleep state, in order to transmit information from senor, the energy harvested in the sensor must exceed a certain threshold. In the active state, the process of transmitting information by the sensor will cause interference to energy harvesting. To get to a more reasonable and convictive optimization goal, we optimize the duty-cycle time-ratio of sleep and active states and transmission power in active state simultaneously in the system. The simulation results show that the information throughput is improved significantly when the proposed control policy is considered. INDEX TERMS Wireless body area networks (WBANs), duty cycle, energy harvesting, optimal control policy.

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“…The work in [8] investigated the optimal PS strategy which achieves the rate-energy region in a single-input single-output (SISO) SWIPT system. Further, SWIPT was studied in the context of multi-user orthogonal frequency division multiplexing access (OFDMA) in [9], multi-user multiple-input single-output (MISO) in [10], relay systems in [11], ultra dense networks in [12], massive MIMO system in [13] and IoT [14]- [16].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Optimization With SWIPT in MIMO Broadcast Channels for Internet of Things

Tang

Zhao

et al. 2018

IEEE Internet Things J.

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Abstract-Simultaneous wireless information and power transfer (SWIPT) is anticipated to have great applications in fifthgeneration (5G) communication systems and the Internet-ofThings (IoT). In this paper, we address the energy efficiency (EE) optimization problem for SWIPT multiple-input multiple-output broadcast channel (MIMO-BC) with time-switching (TS) receiver design. Our aim is to maximize the EE of the system whilst satisfying certain constraints in terms of maximum transmit power and minimum harvested energy per user. The coupling of the optimization variables, namely, transmit covariance matrices and TS ratios, leads to an EE problem which is non-convex, and hence very difficult to solve directly. Hence, we transform the original maximization problem with multiple constraints into a suboptimal min-max problem with a single constraint and multiple auxiliary variables. We propose a dual inner/outer layer resource allocation framework to tackle the problem. For the inner-layer, we invoke an extended SWIPT-based BC-multiple access channel (MAC) duality approach and provide two iterative resource allocation schemes under fixed auxiliary variables for solving the dual MAC problem. A sub-gradient searching scheme is then proposed for the outer-layer in order to obtain the optimal auxiliary variables. Numerical results confirm the effectiveness of the proposed algorithms and illustrate that significant performance gain in terms of EE can be achieved by adopting the proposed extended BC-MAC duality-based algorithm.Index Terms-Simultaneous wireless information and power transfer (SWIPT), energy efficiency (EE), multiple-input multiple-output (MIMO), Internet-of-Things (IoT).

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Secure and Energy-Efficient Resource Allocation for Wireless Power Enabled Full-/Half-Duplex Multiple-Antenna Relay Systems

Cited by 27 publications

References 32 publications

Distributed Resource Allocation for Energy Efficiency in OFDMA Multicell Networks With Wireless Power Transfer

Distributed Resource Allocation for Energy Efficiency in OFDMA Multicell Networks With Wireless Power Transfer

The Optimal Control Policy for Point-to-Point Wireless Body Area Network Based on Simultaneous Time-Ratio and Transmission Power Allocation

Energy Efficiency Optimization With SWIPT in MIMO Broadcast Channels for Internet of Things

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