Performance Analysis of Ambient RF Energy Harvesting with Repulsive Point Process Modeling

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

doi:10.1109/twc.2015.2437973

Cited by 73 publications

(61 citation statements)

References 47 publications

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“…In [10] and [11], relay-aided networks are studied. In [12] and [13] ad hoc networks are analyzed. These papers, however, consider single-antenna transmission.…”

Section: Introductionmentioning

confidence: 99%

MIMO cellular networks with Simultaneous Wireless Information and Power Transfer

Thanh

Renzo

Coon

2016

2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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Abstract-In this paper, we introduce a mathematical approach for system-level analysis and optimization of densely deployed multiple-antenna cellular networks, where low-energy devices are capable of decoding information data and harvesting power simultaneously. The base stations are assumed to be deployed according to a Poisson point process and tools from stochastic geometry are exploited to quantify the trade-off in terms of information rate and harvested power. It is shown that multiple-antenna transmission is capable of increasing information rate and harvested power at the same time.

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“…In [10] and [11], relay-aided networks are studied. In [12] and [13] ad hoc networks are analyzed. These papers, however, consider single-antenna transmission.…”

Section: Introductionmentioning

confidence: 99%

MIMO cellular networks with Simultaneous Wireless Information and Power Transfer

Thanh

Renzo

Coon

2016

2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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“…The recent development in the circuit technology has greatly advanced an RF energy harvester implementation in terms of hardware sensitivity, RF-to-DC conversion efficiency, circuit power consumption, etc. This has made powering active radio communications by ambient RF energy harvesting [18]- [20] become feasible. For example, a recent design and implementation of RF-powered transmitter [21] showed that the transmission rate could reach up to 5 Mbps.…”

Section: Ambient Backscatter Assisted Wireless Powered Communicamentioning

confidence: 99%

Ambient Backscatter Assisted Wireless Powered Communications

Niyato

Jiang

et al. 2018

IEEE Wireless Commun.

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181

109

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Ambient backscatter communication technology has been introduced recently, and is then quickly becoming a promising choice for self-sustainable communication systems as an external power supply or a dedicated carrier emitter is not required. By leveraging existing RF signal resources, ambient backscatter technology can support sustainable and independent communications and consequently open up a whole new set of applications that facilitate Internetof-Things (IoT). In this article, we study an integration of ambient backscatter with wireless powered communication networks (WPCNs). We first present an overview of backscatter communication systems with an emphasis on the emerging ambient backscatter technology. Then we propose a novel hybrid transmitter design by combining the advantages of both ambient backscatter and wireless powered communications. Furthermore, in the cognitive radio environment, we introduce a multiple access scheme to coordinate the hybrid data transmissions. The performance evaluation shows that the hybrid transmitter outperforms traditional designs. In addition, we discuss some open issues related to the ambient backscatter networking. Index TermsAmbient backscatter communications, modulated backscatter, RF energy harvesting, self-sustainable communications, wireless powered communications, Internet-of-Things. I. INTRODUCTIONInformation transmission based on modulated backscatter of incident signals from external RF sources has emerged as a promising solution for low-power wireless communications. The power consumption of a typical backscatter transmitter is less than 1 µW [1], which renders excessively long lifetime, e.g., 10 years, for an on-chip battery. This low power consumption well matches the harvestable wireless energy from RF sources, e.g., typically from 1 µW to tens of µW [2], [3]. This additionally renders RF energy harvesting to be an alternative to power backscatter transmitters. Furthermore, backscatter communications Dong In Kim is the corresponding author 2 can be embedded into small gadgets and objects, e.g., a radio frequency identification (RFID) and passive sensor. Therefore, backscatter communications is also envisioned as the last hop in the Internet-of-Things (IoT) [4], which requires low cost and ubiquitous deployment of small-sized devices [5].Due to recent dramatic increases in application demands, the requirement for backscatter communications has gone beyond the conventional RFID towards a more data-intensive way. This strongly raises the need for re-engineering backscatter transmitters for better reliability, higher data rates, and longer interrogation/transmission range. However, traditional backscatter communication techniques, e.g., RFID, are hindered by three major shortcomings: 1) The activation of backscatter transmitters relies on an external power supply such as an active interrogator (also called a reader or carrier emitter) which is costly and bulky.2) A backscatter transmitter passively responds only when inquired by a reader. The communication link ...

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“…In [28], [29], the joint analysis of the downlink signal quality and the amount of energy harvested at an RF-powered user was performed. In [30], [31], the uplink counterpart of this problem was explored in which the RF-powered node first harvests energy from ambient RF signals and then uses it to perform data transmission. The work presented in [32] focused on the secrecy analysis of wireless networks where the legitimate transmitters are powered by energy harvesting.…”

Section: A Related Workmentioning

confidence: 99%

Coexistence of RF-powered IoT and a Primary Wireless Network With Secrecy Guard Zones

Kishk

Dhillon

2018

IEEE Trans. Wireless Commun.

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This paper studies the secrecy performance of a wireless network (primary network) overlaid with an ambient RF energy harvesting Internet of Things (IoT) network (secondary network). The nodes in the secondary network are assumed to be solely powered by ambient RF energy harvested from the transmissions of the primary network. We assume that the secondary nodes can eavesdrop on the primary transmissions due to which the primary network uses secrecy guard zones. The primary transmitter goes silent if any secondary receiver is detected within its guard zone. Using tools from stochastic geometry, we derive the probability of successful connection of the primary network as well as the probability of secure communication. Two conditions must be jointly satisfied in order to ensure successful connection: (i) the signal-to-interference-plus-noise ratio (SINR) at the primary receiver is above a predefined threshold, and (ii) the primary transmitter is not silent. In order to ensure secure communication, the SINR value at each of the secondary nodes should be less than a predefined threshold. Clearly, when more secondary nodes are deployed, more primary transmitters will remain silent for a given guard zone radius, thus impacting the amount of energy harvested by the secondary network. Our results concretely show the existence of an optimal deployment density for the secondary network that maximizes the density of nodes that can harvest an amount of energy above a predefined threshold. Furthermore, we show the dependence of this optimal deployment density on the guard zone radius of the primary network. In addition, we show that the optimal guard zone radius selected by the primary network is a function of the deployment density of the secondary network. The interesting coupling between the performance of the two networks is studied using tools from game theory. In addition, we propose an algorithm that can assist the two networks to converge to Nash equilibrium.The convergence of this algorithm is verified using simulations. Overall, this work is one of the few concrete works that symbiotically merge tools from stochastic geometry and game theory.

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Performance Analysis of Ambient RF Energy Harvesting with Repulsive Point Process Modeling

Cited by 73 publications

References 47 publications

MIMO cellular networks with Simultaneous Wireless Information and Power Transfer

MIMO cellular networks with Simultaneous Wireless Information and Power Transfer

Ambient Backscatter Assisted Wireless Powered Communications

Coexistence of RF-powered IoT and a Primary Wireless Network With Secrecy Guard Zones

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