Robust beamforming and power splitting design in MISO SWIPT downlink system

Chu, Zheng; Zhu, Zhengyu; Xiang, Weichen; Hussein, Jamal Ahmed

doi:10.1049/iet-com.2015.0475

Cited by 21 publications

(17 citation statements)

References 28 publications

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“…Considering the practical implementation of resource allocation schemes, imperfect channel state information has been considered in [223] and [224]. Specifically, Wang et al [223] have developed a pair of robust joint beamforming and power splitting schemes for minimising the energy consumption of the transmitter.…”

Section: ) Energy Consumption Minimizationmentioning

confidence: 99%

“…Hence, the chance constrained joint beamforming and power splitting problem has been transformed into another convex SDP problem by exploiting both the semi-definite relaxation and Bernstein-type inequality restriction. Furthermore, in [224], the effects of the imperfect channel estimation have been further considered. In the first case, the channel estimation error has been modelled by a Gaussian random variable, when the transmitter estimates the channel based on the UEs' uplink transmissions and the channel states are correlated.…”

Section: ) Energy Consumption Minimizationmentioning

confidence: 99%

“…In [231], four different algorithms have been proposed by Timotheou et al, namely the maximum ratio transmission beamforming, the zero-forcing beamforming and the regularised zero-forcing beamforming as well as a hybrid scheme that combines the maximum ratio transmission and the zero-forcing beamforming. Similar to [223] and [224], Zhu et al [232] have assumed the availability of the realistic imperfect CSI at the transmitters. The norm of the channel vectors' estimation error is bounded.…”

Section: B Resource Allocation In Cooperative Idensmentioning

confidence: 99%

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Integrated Data and Energy Communication Network: A Comprehensive Survey

Yang

Wen

et al. 2018

IEEE Commun. Surv. Tutorials

135

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In order to satisfy the power thirsty of communication devices in the imminent 5G era, wireless charging techniques have attracted much attention both from the academic and industrial communities. Although the inductive coupling and magnetic resonance based charging techniques are indeed capable of supplying energy in a wireless manner, they tend to restrict the freedom of movement. By contrast, RF signals are capable of supplying energy over distances, which are gradually inclining closer to our ultimate goal -charging anytime and anywhere. Furthermore, transmitters capable of emitting RF signals have been widely deployed, such as TV towers, cellular base stations and Wi-Fi access points. This communication infrastructure may indeed be employed also for wireless energy transfer (WET). Therefore, no extra investment in dedicated WET infrastructure is required. However, allowing RF signal based WET may impair the wireless information transfer (WIT) operating in the same spectrum. Hence, it is crucial to coordinate and balance WET and WIT for simultaneous wireless information and power transfer (SWIPT), which evolves to Integrated Data and Energy communication Networks (IDENs). To this end, a ubiquitous IDEN architecture is introduced by summarising its natural heterogeneity and by synthesising a diverse range of integrated WET and WIT scenarios. Then the inherent relationship between WET and WIT is revealed from an information theoretical perspective, which is followed by the critical appraisal of the hardware enabling techniques extracting energy from RF signals. Furthermore, the transceiver design, resource allocation and user scheduling as well as networking aspects are elaborated on. In a nutshell, this treatise can be used as a handbook for researchers and engineers, who are interested in enriching their knowledge base of IDENs and in putting this vision into practice.Index Terms-RF signals, wireless energy transfer (WET), wireless information transfer (WIT), simultaneous wireless information and power transfer (SWIPT), wireless powered communication networks (WPCNs), integrated data and energy communication networks (IDENs).an increasing research interest from both the electronic and communication engineering communities. C. Near-field Wireless Energy TransferAt the time of writing, resonant inductive coupling [35] and magnetic resonance coupling [36] emerge as flexible wireless charging options for electronic devices in the nearfield. Resonant inductive coupling based wireless charging relies on the magnetic coupling that delivers electrical energy between two coils tuned to resonate at the same frequency. This technique has already been commercialised for small electronic appliances [37], such as mobile phones, electric toothbrushes and smart watches etc. However, the coupling coils only support near-field wireless power transfer over a distance spanning from a few millimetres to a few centimetres [38], while achieving a power transfer efficiency as high as 56.7%, when operating at a frequency of 508 kHz [...

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Section: ) Energy Consumption Minimizationmentioning

confidence: 99%

Section: ) Energy Consumption Minimizationmentioning

confidence: 99%

Section: B Resource Allocation In Cooperative Idensmentioning

confidence: 99%

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Integrated Data and Energy Communication Network: A Comprehensive Survey

Yang

Wen

et al. 2018

IEEE Commun. Surv. Tutorials

135

View full text Add to dashboard Cite

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“…Multi-antenna source and recipients [11] framework has been considered to examine these issues, cooperative networks [12], and obstruction channels [13], and additionally secure transmission [14]. Furthermore, the creators in [15,16,17] considered the transmit control minimization issue for multiuser SWIPT MISO frameworks below the deficient channel state information (CSI) with limited channel vector blunders and stochastic channel vector mistakes. As an imperative measure, the total reaped energy amplification in multiuser power-splitting SWIPT MISO framework has been explored under the ideal channel side data of channels from sender to recipients [17].…”

Section: Related Literaturesmentioning

confidence: 99%

Multi-relay Antennas for Energy Harvesting Cognitive Radio Networks using Energy-Assisted Decode Forward Method

Priyanka¹,

Arthi²

2019

IJITEE

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The single antenna relay energy-assisted decode forward (EDF) was not applicable for multi cognitive users that has less data rates. In order to achieve higher data rates with increased user demands energy harvesting or Simultaneous Wireless Information and Power Transfer (SWIPT) enabled networks with multi antenna relays are highly recommended. The proposed work considers multi relay EDFSWIPT for 5G systems with presence of transmitter and an antenna array. The transmitter affords data and power towards various numerous single-antenna secondary receivers (SR). The SR outfitted with a power splitter receiving system where multiple primary relays are introduced. The goal of proposed work is to amplify weighted sum rate harvested energy for SR using multi relay EDF. The simulation considers the capacity, outage probability, and throughput for both primary and secondary networks with respect to both single multi relay EDF. The simulation results afford that multi relay EDF has better performance than single antenna array EDF.

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“…These research issues are also considered in systems with multi-antenna transmitters and receivers [ 5 ], cooperative networks [ 6 ], and interference channels [ 7 ], as well as robust secure transmission [ 8 ]. In addition, the authors in [ 9 , 10 , 11 ] studied the transmit power minimization problem in multiuser SWIPT MISO systems under the imperfect channel side information (CSI) with bounded channel vector errors and stochastic channel vector errors. As an important criterion, the sum harvested energy maximization in multiuser power-splitting SWIPT MISO system is investigated under the perfect channel side information of channels from transmitters to receivers [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Robust Weighted Sum Harvested Energy Maximization for SWIPT Cognitive Radio Networks Based on Particle Swarm Optimization

Tuan

Koo

2017

Sensors

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Abstract:In this paper, we consider multiuser simultaneous wireless information and power transfer (SWIPT) for cognitive radio systems where a secondary transmitter (ST) with an antenna array provides information and energy to multiple single-antenna secondary receivers (SRs) equipped with a power splitting (PS) receiving scheme when multiple primary users (PUs) exist. The main objective of the paper is to maximize weighted sum harvested energy for SRs while satisfying their minimum required signal-to-interference-plus-noise ratio (SINR), the limited transmission power at the ST, and the interference threshold of each PU. For the perfect channel state information (CSI), the optimal beamforming vectors and PS ratios are achieved by the proposed PSO-SDR in which semidefinite relaxation (SDR) and particle swarm optimization (PSO) methods are jointly combined. We prove that SDR always has a rank-1 solution, and is indeed tight. For the imperfect CSI with bounded channel vector errors, the upper bound of weighted sum harvested energy (WSHE) is also obtained through the S-Procedure. Finally, simulation results demonstrate that the proposed PSO-SDR has fast convergence and better performance as compared to the other baseline schemes.

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Robust beamforming and power splitting design in MISO SWIPT downlink system

Cited by 21 publications

References 28 publications

Integrated Data and Energy Communication Network: A Comprehensive Survey

Integrated Data and Energy Communication Network: A Comprehensive Survey

Multi-relay Antennas for Energy Harvesting Cognitive Radio Networks using Energy-Assisted Decode Forward Method

Robust Weighted Sum Harvested Energy Maximization for SWIPT Cognitive Radio Networks Based on Particle Swarm Optimization

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