Twinkle

Deng, Honghao; Li, Jiabao; Sayegh, Allen; Birolini, Sebastian; Andreani, Stefano

doi:10.1145/3173225.3173309

Cited by 23 publications

(5 citation statements)

References 13 publications

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“…Finally, UAVs’ great mobility and adaptability make it possible to ensure and improve users’ LoS connections and QoS in VLC. The next step is testbed testing, which has been conducted to validate the use of UAVs in VLCs [ 124 ]. Simulation findings further show that the suggested method for UAV-assisted NOMA-VLC outperforms OMA and fixed-position (i.e., non-adjustable LED location) schemes.…”

Section: Integration Of Noma-based Vlc With Emerging Technologiesmentioning

confidence: 99%

NOMA-Based VLC Systems: A Comprehensive Review

Mohsan

Sadiq

et al. 2023

Sensors

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The enhanced proliferation of connected entities needs a deployment of innovative technologies for the next generation wireless networks. One of the critical concerns, however, is the spectrum scarcity, due to the unprecedented broadcast penetration rate nowadays. Based on this, visible light communication (VLC) has recently emerged as a viable solution to secure high-speed communications. VLC, a high data rate communication technology, has proven its stature as a promising complementary to its radio frequency (RF) counterpart. VLC is a cost-effective, energy-efficient, and secure technology that exploits the current infrastructure, specifically within indoor and underwater environments. Yet, despite their appealing capabilities, VLC systems face several limitations which constraint their potentials such as LED’s limited bandwidth, dimming, flickering, line-of-sight (LOS) requirement, impact of harsh weather conditions, noise, interference, shadowing, transceiver alignment, signal decoding complexity, and mobility issue. Consequently, non-orthogonal multiple access (NOMA) has been considered an effective technique to circumvent these shortcomings. The NOMA scheme has emerged as a revolutionary paradigm to address the shortcomings of VLC systems. The potentials of NOMA are to increase the number of users, system’s capacity, massive connectivity, and enhance the spectrum and energy efficiency in future communication scenarios. Motivated by this, the presented study offers an overview of NOMA-based VLC systems. This article provides a broad scope of existing research activities of NOMA-based VLC systems. This article aims to provide firsthand knowledge of the prominence of NOMA and VLC and surveys several NOMA-enabled VLC systems. We briefly highlight the potential and capabilities of NOMA-based VLC systems. In addition, we outline the integration of such systems with several emerging technologies such as intelligent reflecting surfaces (IRS), orthogonal frequency division multiplexing (OFDM), multiple-input and multiple-output (MIMO) and unmanned aerial vehicles (UAVs). Furthermore, we focus on NOMA-based hybrid RF/VLC networks and discuss the role of machine learning (ML) tools and physical layer security (PLS) in this domain. In addition, this study also highlights diverse and significant technical hindrances prevailing in NOMA-based VLC systems. We highlight future research directions, along with provided insights that are envisioned to be helpful towards the effective practical deployment of such systems. In a nutshell, this review highlights the existing and ongoing research activities for NOMA-based VLC systems, which will provide sufficient guidelines for research communities working in this domain and it will pave the way for successful deployment of these systems.

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Section: Integration Of Noma-based Vlc With Emerging Technologiesmentioning

confidence: 99%

NOMA-Based VLC Systems: A Comprehensive Review

Mohsan

Sadiq

et al. 2023

Sensors

View full text Add to dashboard Cite

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“…In addition, there is no interference between UAVs because in VLC, the signal transmission is directional, and there is enough large distance between ground coverage areas of UAVs. Note that LED UAVs are more likely to be deployed in dark scenarios (such as at night) [6]. Since VLC provides both communication and brightness, brightness limits must also be considered.…”

Section: A Uav-cluster Communicationmentioning

confidence: 99%

“…However, in [8], the authors consider D2D and user association problem but do not consider UAV location optimization. However, none of the existing works in [3]- [6] and [7] does not consider joint user clustering and optimal location problem in the UAV-assisted VLC network, especially when D2D communication is possible between users of each cluster.…”

mentioning

confidence: 99%

Joint User Association and UAV Location Optimization for Two-Tired Visible Light Communication Networks

Qazavi

Tabataba

Soorki

2022

2022 30th International Conference on Electrical Engineering (ICEE)

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In this paper, an unmanned aerial vehicle (UAVs)-assisted visible light communication (VLC) has been considered which has two tiers: UAV-to-centroid and device-to-device (D2D). In the UAV-to-centroid tier, each UAV can simultaneously provide communications and illumination for the centroids of the ground users over VLC links. In the D2D tier, the centroids retransmit received data from UAV over D2D links to the cluster members. For network, the optimization problem of joint user association and deployment location of UAVs is formulated to maximize the received data, satisfy illumination constraint, and the user cluster size. An iterative algorithm is first proposed to transform the optimization problem into a series of two interdependent sub problems. Following the smallest enclosing disk theorem, a random incremental construction method is designed to find the optimal UAV locations. Then, inspired by unsupervised learning method, a clustering algorithm to find a suboptimal user association is proposed. Our simulation results show that the proposed scheme on average guarantees the users brightness 0.77 lux more than their threshold requirements. Moreover, the received bitrate plus number of D2D connected users under our proposed method is 50.69% more than the scenario in which we have RF Link instead of VLC link and do not optimize UAV location.

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“…Kinesics, proxemics, and haptics stand out as the most prominent research topics in the field. Drone kinesics researches how emotions or intent can be conveyed through the way the robots move [8,10,14,17,20] which also includes drone gestures, e. g., to be utilized for pedestrian guidance [13]. The field of drone proxemics examines the extent to which people are comfortable with the proximity of drones and how close they tolerate them to their bodies [1,15,19,21,34,35].…”

Section: Nonverbal Human-drone Communicationmentioning

confidence: 99%

Evaluating Distances in Tactile Human-Drone Interaction

Lieser

Schwanecke

Berdux

2021

2021 30th IEEE International Conference on Robot &Amp; Human Interactive Communication (RO-MAN)

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As the presence of flying robots continues to grow in both commercial and private sectors, it necessitates an understanding of appropriate methods for nonverbal interaction with humans. While visual cues, such as gestures incorporated into trajectories, are more apparent and thoroughly researched, acoustic cues have remained unexplored, despite their potential to enhance human-drone interaction. Given that additional audiovisual and sensory equipment is not always desired or practicable, and flight noise often masks potential acoustic communication in rotary-wing drones, such as through a loudspeaker, the rotors themselves offer potential for nonverbal communication. In this paper, quadrotor trajectories are augmented by acoustic information that does not visually affect the flight, but adds audible information that significantly facilitates distinctiveness. A user study (𝑁 =192) demonstrates that sonically augmenting the trajectories of two aerial gestures makes them more easily distinguishable. This enhancement contributes to human-drone interaction through onboard means, particularly in situations where the human cannot see or look at the drone. CCS Concepts: • Human-centered computing → User studies; Auditory feedback; • Computer systems organization → Robotics; • Hardware → Sound-based input / output.

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Twinkle

Cited by 23 publications

References 13 publications

NOMA-Based VLC Systems: A Comprehensive Review

NOMA-Based VLC Systems: A Comprehensive Review

Joint User Association and UAV Location Optimization for Two-Tired Visible Light Communication Networks

Evaluating Distances in Tactile Human-Drone Interaction

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