UAV-Aided Backscatter Communications: Performance Analysis and Trajectory Optimization

Han, Rui; Bai, Lin; Wen, Yongqing; Liu, Jianwei; Choi, Jinho; Zhang, Wei

doi:10.1109/jsac.2021.3088676

Cited by 30 publications

(6 citation statements)

References 36 publications

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“…The forward link's reliability and performance are critical to achieving higher overall performance in BackCom. The forward link improves by using relays [270]- [272], unmanned aerial vehicles (UAVs) [273], [274], and RIS [128]- [130]. These solutions will extend the coverage/read range of BackCom significantly.…”

Section: ) Uav/ris/relay-assisted Backcommentioning

confidence: 99%

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Link Budget Analysis for Backscatter-Based Passive IoT

et al. 2022

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Massive connectivity of billions of communicating devices for fifth-generation (5G) and beyond networks requires the deployment of self-sustaining, maintenance-free, and low-cost communication paradigms. Could passive Internet of Things (IoT) solve these challenges? Passive IoT can be realized with the backscatter communication (BackCom) paradigm, which uses ultra-low power, inexpensive passive tags to support massive connectivity. However, a comprehensive link budget analysis for BackCom networks has not yet been available. It is something that is necessary for practitioners and researchers to evaluate the potential of BackCom. This survey is organized as follows. First, we describe the BackCom configurations, passive IoT design targets, backscatter channel statistics, and the different components and operations of the backscatter tag. Second, we develop the forward link budget and the overall link budget. All the relevant parameters are described in detail. Third, we give numerical and simulation results to get insights on the achievable performance of BackCom networks. Since additive path losses and excess fading can limit the performance of BackCom networks, we examine potential solutions to overcome the resulting limitations, enabling massive IoT networks. We also discuss integrating BackCom with existing wireless technologies. We further highlight some applications and address open issues, challenges, and future research directions.

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Section: ) Uav/ris/relay-assisted Backcommentioning

confidence: 99%

“…For example, [271] investigates a relaying scheme where energy-constrained gateways close to the tags assist them in communicating with an AP. UAVs can provide strong excitation signals to the tags [273]. They can also reduce the backscatter data collection overhead [275], [276].…”

Section: ) Uav/ris/relay-assisted Backcommentioning

confidence: 99%

Link Budget Analysis for Backscatter-Based Passive IoT

et al. 2022

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“…UAV can act as carrier emitter as well as data transmitter and collector for backscatter communications. Thus UAVs can support energy efficient coverage range extension of backscatter tags by collecting sensed information from these tags and quick data delivery to the base station by using high mobility of UAVs [34], [35].…”

Section: Uav Casementioning

confidence: 99%

NOMA-enabled Backscatter Communications for Green Transportation in Automotive-Industry 5.0

Khan¹,

Ihsan²,

Nguyen³

et al. 2022

Preprint

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Automotive-Industry 5.0 will use emerging 6G communications to provide robust, computationally intelligent, and energy-efficient data sharing among various onboard sensors, vehicles, and other Intelligent Transportation System (ITS) entities. Non-Orthogonal Multiple Access (NOMA) and backscatter communications are two key techniques of 6G communications for enhanced spectrum and energy efficiency. In this paper, we provide an introduction to green transportation and also discuss the advantages of using backscatter communications and NOMA in Automotive Industry 5.0. We also briefly review the recent work in the area of NOMA empowered backscatter communications. We discuss different use cases of backscatter communications in NOMA-enabled 6G vehicular networks. We also propose a multi-cell optimization framework to maximize the energy efficiency of the backscatter-enabled NOMA vehicular network. In particular, we jointly optimize the transmit power of the roadside unit and the reflection coefficient of the backscatter device in each cell, where several practical constraints are also taken into account. The problem of energy efficiency is formulated as nonconvex which is hard to solve directly. Thus, first, we adopt the Dinkelbach method to transform the objective function into a subtractive one, then we decouple the problem into two subproblems. Second, we employ dual theory and KKT conditions to obtain efficient solutions. Finally, we highlight some open issues and future research opportunities related to NOMAenabled backscatter communications in 6G vehicular networks.

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“…In order to increase production, smart farming aims to utilize IoT connectivity technologies. UAV-based IoT connectivity should enable farmers to remotely manage their crops using a variety of networked sensors and equipment in smart farming [66], [67]. For example, a UAV can approach a passive sensor, like RFID sensors [68], [69], on a farm and collect its data.…”

Section: ) Smart Farmingmentioning

confidence: 99%