Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communications in IoT Networks

Liu, Xiaolan; Gao, Yue; Hu, Fengye

doi:10.1109/jiot.2018.2889700

Cited by 37 publications

(18 citation statements)

References 33 publications

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“…In addition to the aforementioned studies, major research efforts have focused on channel modeling and estimation [261]- [266], resource allocation [252], [253], [267]- [269] and wireless energy harvesting [270]- [276] in BackCom systems. Table 8 summarizes the timely open research topics in the field of BackCom.…”

Section: ) Quantum Backcommentioning

confidence: 99%

A Prospective Look: Key Enabling Technologies, Applications and Open Research Topics in 6G Networks

et al. 2020

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The fifth generation (5G) mobile networks are envisaged to enable a plethora of breakthrough advancements in wireless technologies, providing support of a diverse set of services over a single platform. While the deployment of 5G systems is scaling up globally, it is time to look ahead for beyond 5G systems. This is mainly driven by the emerging societal trends, calling for fully automated systems and intelligent services supported by extended reality and haptics communications. To accommodate the stringent requirements of their prospective applications, which are data-driven and defined by extremely lowlatency, ultra-reliable, fast and seamless wireless connectivity, research initiatives are currently focusing on a progressive roadmap towards the sixth generation (6G) networks, which are expected to bring transformative changes to this premise. In this article, we shed light on some of the major enabling technologies for 6G, which are expected to revolutionize the fundamental architectures of cellular networks and provide multiple homogeneous artificial intelligence-empowered services, including distributed communications, control, computing, sensing, and energy, from its core to its end nodes. In particular, the present paper aims to answer several 6G framework related questions: What are the driving forces for the development of 6G? How will the enabling technologies of 6G differ from those in 5G? What kind of applications and interactions will they support which would not be supported by 5G? We address these questions by presenting a comprehensive study of the 6G vision and outlining seven of its disruptive technologies, i.e., mmWave communications, terahertz communications, optical wireless communications, programmable metasurfaces, drone-based communications, backscatter communications and tactile internet, as well as their potential applications. Then, by leveraging the state-of-the-art literature surveyed for each technology, we discuss the associated requirements, key challenges, and open research problems. These discussions are thereafter used to open up the horizon for future research directions. INDEX TERMS 6G, backscatter communications, drone-based communications, terahertz communications, metasurfaces, mmWave, optical wireless communications, tactile internet.

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Section: ) Quantum Backcommentioning

confidence: 99%

A Prospective Look: Key Enabling Technologies, Applications and Open Research Topics in 6G Networks

et al. 2020

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“…The microcontroller performs multiple communication operation including processing the information and matching the impedance of antenna for better reception of RF signals. We consider that the amount of energy consumed by energy harvester is negligible [6] and satisfies the following condition…”

Section: Experimental System Model Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Above all, these devices would need to demonstrate services like ultra-reliable low-latency communications (URLLC), enhanced mobile broadband (eMBB), and massive machine type communications (mMTC)for beyond 5G networks. Resultantly, it has become evident that an ultra low-powered communication paradigm is essential for enabling short-range communication among devices, without compromising the reliability of communications [2], [6].Of late, backscatter communication has gathered the attention of the researchers as a key enabling technology for connecting IoT devices. Backscatter communication allows radio device to transmit their data by reflecting and modulating an incident radio frequency (RF) signal.…”

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Simultaneous harvest-and-transmit ambient backscatter communications under Rayleigh fading

Jameel

Ristaniemi

Khan

et al. 2019

J Wireless Com Network

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Ambient backscatter communications is an emerging paradigm and a key enabler for pervasive connectivity of low-powered wireless devices. It is primarily beneficial in the Internet of things (IoT) and the situations where computing and connectivity capabilities expand to sensors and miniature devices that exchange data on a low power budget. The premise of the ambient backscatter communication is to build a network of devices capable of operating in a battery-free manner by means of smart networking, radio frequency (RF) energy harvesting and power management at the granularity of individual bits and instructions. Due to this innovation in communication methods, it is essential to investigate the performance of these devices under practical constraints. To do so, this article formulates a model for wireless-powered ambient backscatter devices and derives a closed-form expression of outage probability under Rayleigh fading. Based on this expression, the article provides the power-splitting factor that balances the tradeoff between energy harvesting and achievable data rate. Our results also shed light on the complex interplay of a power-splitting factor, amount of harvested energy, and the achievable data rates. Index TermsAmbient backscatter communications, Energy harvesting, Internet of Things (IoT), Smart networking, Wireless-powered communication I. INTRODUCTIONThe grand vision of the Internet of things (IoT) is quickly turning into reality by bringing everything to the Internet [1], [2]. Latest devices ranging from smartphones to implantable sensors and wearables are claiming to be "IoT capable". Although significant improvements have been seen from the design perspective of wireless devices, the objective of connecting everything to the Internet is still a far cry [3]. It is because several important challenges arise when ensuring ubiquitous connectivity of devices. As indicated in [4], one of the first challenge is the limited life-cycle of miniature wireless devices. The energy constrained nature of devices becomes an obstacle as the massive amount of data is transferred across an IoT network and the devices are required to be operated in an untethered manner. Then, there is a requirement of communication reliability which is even more difficult to maintain in large-scale wireless systems [5]. The increased reliability most often comes at a cost of increased energy consumption which cannot be regulated by small energy reservoirs of miniature IoT devices. Above all, these devices would need to demonstrate services like ultra-reliable low-latency communications (URLLC), enhanced mobile broadband (eMBB), and massive machine type communications (mMTC)for beyond 5G networks. Resultantly, it has become evident that an ultra low-powered communication paradigm is essential for enabling short-range communication among devices, without compromising the reliability of communications [2], [6].Of late, backscatter communication has gathered the attention of the researchers as a key enabling technology for connecting IoT...

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“…In contrast to the traditional backscatter communication system, such as radio-frequency-identification (RFID) system, which relies on dedicated radio spectrum resources and RF The associate editor coordinating the review of this manuscript and approving it for publication was Bora Onat. sinusoidal carriers, the BD in symbiotic radio system shares the same radio spectrum and the same RF source with the primary system, resulting in higher spectrum efficiency and more flexible network deployment [8]- [11].…”

Section: Introduction a Backgroundsmentioning

confidence: 99%

Resource Allocation for Symbiotic Radio System With Fading Channels

et al. 2019

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In this paper, we investigate the resource allocation problem for the symbiotic radio system, in which the passive backscatter transmission is parasitic in the primary transmission, and the cooperative receiver simultaneously detects the signals transmitted from the active primary transmitter (PT) and the backscatter device (BD). In particular, channel fading is considered, and the ergodic weighted sum rate of the primary and backscatter transmissions is maximized by jointly optimizing the transmit power at the PT and the reflection coefficient at the BD under either long-term or short-term transmit-power constraint over the fading states. Two practical transmission setups are considered, where the relationship between the primary and backscatter transmissions is either commensal or parasitic. For the commensal setup, we fix the reflection coefficient as the maximum value and derive the optimal power allocation scheme based on the standard convex optimization procedure. For the parasitic setup, the weighted sum-rate maximization problem is non-convex, and we resort to the concave-convex procedure to derive a suboptimal solution. Simulation results demonstrate that in the commensal setup, the BD may realize transmission while causing no harmful interference to the primary system; in the parasitic setup, a higher backscatter data rate can be achieved through slightly sacrificing the primary transmission rate. INDEX TERMS Internet of Things, ambient backscatter communications, symbiotic radio, ergodic rate, spectrum sharing, fading channel.

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Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communications in IoT Networks

Cited by 37 publications

References 33 publications

A Prospective Look: Key Enabling Technologies, Applications and Open Research Topics in 6G Networks

A Prospective Look: Key Enabling Technologies, Applications and Open Research Topics in 6G Networks

Simultaneous harvest-and-transmit ambient backscatter communications under Rayleigh fading

Resource Allocation for Symbiotic Radio System With Fading Channels

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