Performance analysis of ambient RF energy harvesting: A stochastic geometry approach

Flint, Ian; Lu, Xiao; Privault, Nicolas; Niyato, Dusit; Wang, Ping

doi:10.1109/glocom.2014.7037012

Cited by 57 publications

(54 citation statements)

References 26 publications

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“…In summary, we can get the parameters of the SWIPT MISO system such as SINR, energy collection, and transmission power as shown in (6), (10), and (12), respectively. In order to eliminate the interference, the constraint of (4) should also be considered.…”

Section: Tpo Problem Descriptionmentioning

confidence: 99%

“…In the second part of this paper, the expressions of the various parameters are described in detail, for instance, the energy collection and the transmission power, which are given by (10) and (12), respectively. In the third part of the paper, TPO problem is solved in detail.…”

Section: Simulation Parameters and Simulation Processmentioning

confidence: 99%

“…However, due to the power dissipation in the free space and low efficiency of energy conversion, the energy collection efficiency is usually not high. Currently, scholars throughout the world have paid much attention to decrease the transmission power by focusing on the transmitter design, receiver design, and transmitter and receiver joint design [10]. Transmitter design involves beamforming, user selection, and power control [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Tpo Problem Descriptionmentioning

confidence: 99%

Section: Simulation Parameters and Simulation Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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“…Uplink (UL) wireless information transmission (WIT) powered by WET was studied in [14][15][16][17][18]. In [14], the massive MIMO system powered by WET adopts slotted transmissions, where each slot is divided into three phases for channel estimation, DL power transmission, and UL data transmission, respectively.…”

mentioning

confidence: 99%

“…In [17], energy transferring nodes called power beacons (PBs) were used to power UL transmissions, and the relationship between the densities of BSs and PBs and the optimal UL transmission power for a given outage probability were obtained under a stochastic geometry model. The authors in [18] study three performance metrics: the expected energy harvesting rate, power outage probability, and transmission outage probability for performance analysis of ambient RF energy harvesting.…”

mentioning

confidence: 99%

Online Power and Time Allocation in MIMO Uplink Transmissions Powered by RF Wireless Energy Transfer

Liang

Zhao

Yang

et al. 2017

IEEE Trans. Veh. Technol.

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Abstract-Wireless energy transfer (WET) has been a promising technology to tackle the lifetime bottlenecks of energy-limited wireless devices in recent years. In this paper, we study a WET enabled multiple input multiple output (MIMO) system including a base station (BS) and a user equipment (UE), which has a finite battery capacity. We consider slotted transmissions, where each slot includes two phases, namely downlink (DL) WET phase and uplink (UL) wireless information transmission (WIT) phase. In the WET phase (a fraction τ of a slot), the BS transfers energy and the UE stores the received energy in the battery. In the WIT phase (a fraction 1 − τ of a slot), the UE transmits information to the BS by using the energy in the battery. Considering the power sensitivity α of the radio frequency (RF) to direct current (DC) conversion circuits, the BS transfers energy only if the UE received power is larger than α, and the downlink WET is formulated as a Bernoulli process. Based on the formulation, we propose an online power and time allocation algorithm to maximize the average data rate of uplink WIT. We also extend the proposed algorithm to multiple user systems. The numerical results show that the proposed algorithm outperforms the existing schemes in terms of average data rate, energy efficiency and outage probability.Index Terms-WET, MIMO, online power and time allocation, finite battery size.

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2018

Energy Harvesting Communications

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Performance analysis of ambient RF energy harvesting: A stochastic geometry approach

Cited by 57 publications

References 26 publications

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

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

Online Power and Time Allocation in MIMO Uplink Transmissions Powered by RF Wireless Energy Transfer

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