Multi-Cell Structure Backscatter Based Wireless-Powered Communication Network (WPCN)

Choi, Shin Hyuk; Kim, Dong In

doi:10.1587/transcom.2015ccp0012

Cited by 6 publications

(5 citation statements)

References 14 publications

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“…In distributed beamforming with one-bit feedback, Txs cannot cooperate with each other and Txs must select Rx nodes to serve in a distributed manner, as indicated in (7). However, because each Tx selects the closest Rx node (smallest path loss) to achieve efficient energy transfer, some Rx nodes may be selected by insufficient Tx nodes, resulting in energy outages.…”

Section: Weighted Clustering Methods Based On Path Loss and The Numbmentioning

confidence: 99%

“…Here, the Rxs are located at (x, y) = {(5, 5), (5,15), and (15, 15)} m. The Tx nodes are randomly placed in the range of [0, 14] × [0, 14] m. It should be noted that Tx nodes tend to be placed closer to the Rx at (5,5) than to that at (15,15) geometrically. Accordingly, when the Tx nodes are clustered according to (7), the Rx at (5, 5) is served by more Txs than the other Rxs, as shown in Figure 2A. In Figure 2B, the Tx nodes are clustered according to (9).…”

Section: Weighted Clustering Methods Based On Path Loss and The Numbmentioning

confidence: 99%

“…Additionally, there has been significant interest in transferring energy wirelessly. To overcome the energy depletion of sensor nodes, wireless energy transfer networks have been deployed in combination with conventional wireless communication networks [4][5][6][7]. However, because the efficiency of wireless energy transfer decreases significantly over large transmission distances, multiple-antenna-based energy transmission techniques have been investigated extensively [8][9][10][11].…”

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confidence: 99%

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Distributed beamforming with one‐bit feedback and clustering for multi‐node wireless energy transfer

et al. 2021

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Recently, wireless sensor networks have become a major focus in various machine-to-machine or Internet of Things (IoT) applications, such as home networking, military, and healthcare applications. Because sensor nodes are typically battery powered, energy-efficient data transmission schemes and routing protocols have been studied extensively ([1-3] and the references therein). Additionally, there has been significant interest in transferring energy wirelessly. To overcome the energy depletion of sensor nodes, wireless energy transfer networks have been deployed in combination with conventional wireless communication networks [4][5][6][7]. However, because the efficiency of wireless energy transfer decreases significantly over large transmission distances, multiple-antenna-based energy transmission techniques have been investigated extensively [8][9][10][11]. In [8], a radio frequency (RF) energy beamforming method with multiple antennas was developed. In [9], RF energy transmission using multiple antennas was demonstrated experimentally. However, these works assumed that multiple transmitting antennas can be collocated and processed coherently for RF energy beamforming. This assumption is not

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Section: Weighted Clustering Methods Based On Path Loss and The Numbmentioning

confidence: 99%

Section: Weighted Clustering Methods Based On Path Loss and The Numbmentioning

confidence: 99%

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confidence: 99%

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Distributed beamforming with one‐bit feedback and clustering for multi‐node wireless energy transfer

et al. 2021

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“…A power amplifier with an energy storage device for passive RFID tags was proposed to extend the communication range of backscattered devices by amplification [136]. Choi et al demonstrated a backscatter-based WPCN that could attain a high range compared to its active counterpart [168]. Ultra-wide-band technology was also considered to increase the range and bandwidth of a BackCom system [169].…”

Section: Increasing Rangementioning

confidence: 99%

Backscatter Communications: Inception of the Battery-Free Era—A Comprehensive Survey

Memon

Saxena

Roy³

et al. 2019

Electronics

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The ever increasing proliferation of wireless objects and consistent connectivity demands are creating significant challenges for battery-constrained wireless devices. The vision of massive IoT, involving billions of smart objects to be connected to the cellular network, needs to address the problem of uninterrupted power consumption while taking advantage of emerging high-frequency 5G communications. The problem of limited battery power motivates us to utilize radio frequency (RF) signals as the energy source for battery-free communications in next-generation wireless networks. Backscatter communication (BackCom) makes it possible to harvest energy from incident RF signals and reflect back parts of the same signals while modulating the data. Ambient BackCom (Amb-BackCom) is a type of BackCom that can harvest energy from nearby WiFi, TV, and cellular RF signals to modulate information. The objective of this article is to review BackCom as a solution to the limited battery life problem and enable future battery-free communications for combating the energy issues for devices in emerging wireless networks. We first highlight the energy constraint in existing wireless communications. We then investigate BackCom as a practical solution to the limited battery life problem. Subsequently, in order to take the advantages of omnipresent radio waves, we elaborate BackCom tag architecture and various types of BackCom. To understand encoding and data extraction, we demonstrate signal processing aspects that cover channel coding, interference, decoding, and signal detection schemes. Moreover, we also describe BackCom communication modes, modulation schemes, and multiple access techniques to accommodate maximum users with high throughput. Similarly, to mitigate the increased network energy, adequate data and power transfer schemes for BackCom are elaborated, in addition to reliability, security, and range extension. Finally, we highlight BackCom applications with existing research challenges and future directions for next-generation 5G wireless networks.

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“…However, it can only be used for one-channel transducers, and the circuit size is still not sufficient for phased-array HIFU. Since, the time-division multiplex (TDM) technology has been used in many circuits to minimize the circuit size and reduce system complexity [26,27,28,29]. In this paper, a time-division multiplex auto-impedance matching circuit is proposed.…”

Section: Introductionmentioning

confidence: 99%

Time-division multiplex auto-impedance matching system for high-intensity focused ultrasound

Wang

Yang

Cao

et al. 2019

IEICE Electron. Express

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High-intensity focused ultrasound (HIFU) has been confirmed to be useful for cancer treatment. However, the miniaturization of traditional impedance matching networks for HIFU has limitations. In this paper, a time-division multiplex auto-impedance matching network is proposed for Class D power amplifiers used in HIFU systems to improve performance and reduce the system size. A comparison with previous articles shows that the proposed system can automatically compensate for the impedance drifting of five-channel transducers caused by temperature variations or manufacture tolerance. The operating frequency of the circuit is 1.25 MHz, and the power consumption is 416 mW.

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Multi-Cell Structure Backscatter Based Wireless-Powered Communication Network (WPCN)

Cited by 6 publications

References 14 publications

Distributed beamforming with one‐bit feedback and clustering for multi‐node wireless energy transfer

Distributed beamforming with one‐bit feedback and clustering for multi‐node wireless energy transfer

Backscatter Communications: Inception of the Battery-Free Era—A Comprehensive Survey

Time-division multiplex auto-impedance matching system for high-intensity focused ultrasound

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