Ultra-Low Power Wake-up Radio for 5G IoT

Frøytlog, Anders; Foss, Thomas; Bakker, Ole; Jevne, Geir; Haglund, Magne Arild; Li, Frank Y.; Oller, Joaquim; Li, Geoffrey Ye

doi:10.1109/mcom.2019.1701288

Cited by 58 publications

(36 citation statements)

References 7 publications

(10 reference statements)

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“…In the context of non-cellular networks, different power-saving mechanisms have been extensively studied and implemented, with specific focus on the low-power wide-area networks (LPWAN) and wireless sensor networks (WSN) [13]. In this context, duty cycling has been the major mechanism for energy conservation in LPWANs/WSNs [14], [15].…”

Section: A Wake-up Based Access and State-of-the-artmentioning

confidence: 99%

Wake-Up Scheduling for Energy-Efficient Mobile Devices

Rostami

Trinh

Lagén

et al. 2020

IEEE Trans. Wireless Commun.

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Recently, discontinuous reception mechanisms (DRX) and wake-up schemes (WuS) have been proposed to enhance the energy efficiency of 5G mobile devices and prolong the battery lifetime. The existing DRX and WuS use commonly pre-configured parameters that cannot be adjusted dynamically. In this paper, a novel wake-up scheduling (WuSched) concept is introduced to further improve the energy efficiency of WuS-enabled mobile devices while controlling the buffering delay in a dynamic manner. The main idea of WuSched is to use a fixed configuration of the wake-up scheme and adjust the scheduling of the wake-up signals dynamically based on actual traffic arrivals. For this purpose, two different optimization approaches of the wake-up scheduling concept are proposed, analyzed, and compared, namely offline and online wake-up schedulers (WuSched-Offline and WuSched-Online). First, the WuSched-Offline is analyzed analytically for Poisson traffic arrivals and optimized (offline) to balance the average delay and power consumption. Second, the WuSched-Online is proposed to take online decisions based on traffic prediction, which is able to deal with general and more complex traffic models. Towards this end, we develop a framework for the prediction of packet arrivals based on recurrent neural networks. Numerical results show that both wake-up schedulers outperform the ordinary WuS-based system where wake-up scheduler is not deployed. In particular, for predefined delay requirements of video streaming, audio streaming, and mixed traffic flow, the WuSched-Online reduces the power consumption of the baseline WuS by up to 36%, 28% and 9%, respectively. Results also show that the WuSched-Offline has slightly better energy efficiency than the WuSched-Online in the case of Poisson packet arrivals, as it is optimized for that, while its power consumption is slightly higher than that of the WuSched-Online scheduler for realistic traffic scenarios.

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Section: A Wake-up Based Access and State-of-the-artmentioning

confidence: 99%

Wake-Up Scheduling for Energy-Efficient Mobile Devices

Rostami

Trinh

Lagén

et al. 2020

IEEE Trans. Wireless Commun.

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“…In recent of years, we have witnessed the rapid development of ICT technologies that can facilitate the realization of IoE. In particular, ICT technologies have further extended existing human-oriented Internet to machine-oriented Internet of Things [7], which consists of wireless sensor networks (WSN) for connecting multiple sensor nodes via an selforganized topology [8], low power wide area network (LP-WAN) for offering large-range coverage of power-constrained nodes [7], [9], and 4G and 5G mobile networks for supporting massive-access services of machine-to-machine (M2M) communications [10]. Meanwhile, massive data are generated from various things in real-time manner.…”

Section: Introductionmentioning

confidence: 99%

Unmanned aerial vehicle for internet of everything: Opportunities and challenges

Liu

Dai

Wang

et al. 2020

Computer Communications

161

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The recent advances in information and communication technology (ICT) have further extended Internet of Things (IoT) from the sole "things" aspect to the omnipotent role of "intelligent connection of things". Meanwhile, the concept of internet of everything (IoE) is presented as such an omnipotent extension of IoT. However, the IoE realization meets critical challenges including the restricted network coverage and the limited resource of existing network technologies. Recently, Unmanned Aerial Vehicles (UAVs) have attracted significant attentions attributed to their high mobility, low cost, and flexible deployment. Thus, UAVs may potentially overcome the challenges of IoE. This article presents a comprehensive survey on opportunities and challenges of UAV-enabled IoE. We first present three critical expectations of IoE: 1) scalability requiring a scalable network architecture with ubiquitous coverage, 2) intelligence requiring a global computing plane enabling intelligent things, 3) diversity requiring provisions of diverse applications. Thereafter, we review the enabling technologies to achieve these expectations and discuss four intrinsic constraints of IoE (i.e., coverage constraint, battery constraint, computing constraint, and security issues). We then present an overview of UAVs. We next discuss the opportunities brought by UAV to IoE. Additionally, we introduce a UAV-enabled IoE (Ue-IoE) solution by exploiting UAVs's mobility, in which we show that Ue-IoE can greatly enhance the scalability, intelligence and diversity of IoE. Finally, we outline the future directions in Ue-IoE.

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“…Moreover, with the addition of external communication circuits, solar cells that are widely used in the solar energy infrastructure and various emerging solar-powered devices (e.g., wearable devices, autonomous vehicles, and unmanned aerial vehicles) can perform the dual functions of energy harvesting and signal detection in OWC. This will facilitate the rapid construction of Internet of Things (IoT) in the future, where data rate of ∼ kbit/s or ∼ Mbit/s, low power, low cost, high reliability, and large connective density will be in demand [15], [16]. In particular, solar cells that can serve as detectors for simultaneous signal detection and efficient energy harvesting have important application prospects in marine equipment owing to the power shortage in marine environments.…”

Section: Introductionmentioning

confidence: 99%

AquaE-lite Hybrid-Solar-Cell Receiver-Modality for Energy-Autonomous Terrestrial and Underwater Internet-of-Things

et al. 2020

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Our goal is to develop an energy-autonomous solar cell receiver that can be integrated with a variety of smart devices to implement the Internet of Things in next-generation applications. This paper details efforts to develop such a prototype, called AquaE-lite. Owing to the capability of detecting low-intensity optical signals, 20-m and 30-m long-distance lighting and optical wireless communication with data rates of 1.6 Mbit/s and 1.2 Mbit/s have been achieved on a laboratory testbed, respectively. Moreover, field trials on an outdoor solar cell testbed and in the turbid water of a harbor by the Red Sea have been conducted. Under bright sunlight, energy autonomy and 1.2-Mbit/s optical wireless communication over a transmission distance of 15 m have been implemented, which demonstrated that AquaElite with an elaborate receiver circuit has excellent performance in energy harvesting and resistance to background noise. In a more challenging underwater environment, 1.2-Mbit/s signals were successfully received over a transmission distance of 2 m. It indicates that energy-autonomous AquaE-lite with large detection area has promising prospects in future underwater mobile sensor networks to significantly relieve the requirement of pointing, acquisition and tracking while resolving the energy issues.

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Ultra-Low Power Wake-up Radio for 5G IoT

Cited by 58 publications

References 7 publications

Wake-Up Scheduling for Energy-Efficient Mobile Devices

Wake-Up Scheduling for Energy-Efficient Mobile Devices

Unmanned aerial vehicle for internet of everything: Opportunities and challenges

AquaE-lite Hybrid-Solar-Cell Receiver-Modality for Energy-Autonomous Terrestrial and Underwater Internet-of-Things

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