Toward a Connected Sky: Performance of Beamforming With Down-Tilted Antennas for Ground and UAV User Co-Existence

Amer, Ramy; Saad, Walid; Marchetti, Nicola

doi:10.1109/lcomm.2019.2927452

Cited by 45 publications

(28 citation statements)

References 20 publications

(43 reference statements)

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“…Results showed up to 10% enhancement in offloading gain for the proposed approach compared to the Zipf caching technique. 1 1 Creating communication protocols for secure content delivery for networks of UAVs using, e.g., blockchain technology, can be a potential subject for future investigation [19]- [31], [32]- [34], [35]- [37].…”

Section: Discussionmentioning

confidence: 99%

Cooperative Transmission and Probabilistic Caching for Clustered D2D Networks

Amer

ElSawy

Kibiłda

et al. 2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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Caching at mobile devices and leveraging device-to-device (D2D) communication are two promising approaches to support massive content delivery over wireless networks. Analysis of such D2D caching networks based on a physical interference model is usually carried out by assuming uniformly distributed devices. However, this approach does not capture the notion of device clustering. In this regard, this paper proposes a joint communication and caching optimization framework for clustered D2D networks. Devices are spatially distributed into disjoint clusters and are assumed to have a surplus memory that is utilized to proactively cache files, following a random probabilistic caching scheme. The cache offloading gain is maximized by jointly optimizing channel access and caching scheme. A closed-form caching solution is obtained and bisection search method is adopted to heuristically obtain the optimal channel access probability. Results show significant improvement in the offloading gain reaching up to 10% compared to the Zipf caching baseline.

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Section: Discussionmentioning

confidence: 99%

Cooperative Transmission and Probabilistic Caching for Clustered D2D Networks

Amer

ElSawy

Kibiłda

et al. 2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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“…Next, we will use the obtained handover probabilities in (14) and (20) to quantify the coverage probability of mobile UAV-UEs under the nearest association and CoMP transmissions, respectively. It is worth highlighting that (8) represents the probability that a static UAV-UE is in coverage with neither mobility nor handover considered.…”

Section: Coverage Probability Of Mobile Uav-uesmentioning

confidence: 99%

“…wave (mmWave), and beamforming. For instance, in [14], we proposed a MIMO conjugate beamforming scheme that can improve the cellular connectivity for UAV-UEs and enhance the system spectral efficiency. Moreover, the authors in [17] incorporated directional beamforming at aerial BSs to alleviate the strong LoS interference seen by their served UAV-UEs.…”

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confidence: 99%

“…Moreover, the authors in [17] incorporated directional beamforming at aerial BSs to alleviate the strong LoS interference seen by their served UAV-UEs. However, while interesting, the works in [14]- [18] only considered scenarios of static UAV-UEs. Moreover, they did not consider the use of coordinated multi-point (CoMP) transmission for UAV-UEs, which is a prominent interference mitigation tool that can diminish the effect of LoS interference.…”

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confidence: 99%

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Mobility in the Sky: Performance and Mobility Analysis for Cellular-Connected UAVs

Amer

Saad

Marchetti

2020

IEEE Trans. Commun.

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128

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Providing connectivity to unmanned aerial vehicle-user equipments (UAV-UEs), such as drones or flying taxis, is a major challenge for tomorrow's cellular systems. In this paper, the use of coordinated multi-point (CoMP) transmission for providing seamless connectivity to UAV-UEs is investigated. In particular, a network of clustered ground base stations (BSs) that cooperatively serve a number of UAV-UEs is considered. Two scenarios are studied: scenarios with static, hovering UAV-UEs and scenarios with mobile UAV-UEs. Under a maximum ratio transmission, a novel framework is developed and leveraged to derive upper and lower bounds on the UAV-UE coverage probability for both scenarios.Using the derived results, the effects of various system parameters such as collaboration distance, UAV-UE altitude, and UAV-UE velocity on the achievable performance are studied. Results reveal that, for both static and mobile UAV-UEs, when the BS antennas are tilted downwards, the coverage probability of a high-altitude UAV-UE is upper bounded by that of ground users regardless of the transmission scheme. Moreover, for low signal-to-interference-ratio thresholds, it is shown that CoMP transmission can improve the coverage probability of UAV-UEs, e.g., from 28% under the nearest association scheme to 60% for a collaboration distance of 200 m. Meanwhile, key results on mobile UAV-UEs unveil that not only the spatial displacements of UAV-UEs but also their vertical motions affect their handover rate and coverage probability. In particular, UAV-UEs that have frequent vertical movements and high direction switch rates are expected to have low handover probability and handover rate. Finally, the effect of the UAV-UE vertical movements on its coverage probability is marginal if the UAV-UE retains the same mean altitude.The past few years have witnessed a tremendous increase in the use of unmanned aerial vehicles (UAVs), popularly called drones, in many applications, such as aerial surveillance, package delivery, and even flying taxis [2]- [6]. Enabling such UAV-centric applications requires ubiquitous wireless connectivity that can be potentially provided by the pervasive wireless cellular network [7] and [8]. However, in order to operate cellular-connected UAVs using existing wireless systems, one must address a broad range of challenges that include interference mitigation, reliable communications, resource allocation, and mobility support [9]. Next, we review some of the works relevant to the cellular-connected UAV-enabled networks. A. State of the Art and Prior WorksRecently, cellular-connected UAVs have received significant attention, whereby UAVs as new user equipments (UEs) are integrated into the cellular network in order to ensure reliable and secure connectivity for the operations of UAV systems. However, it has been established that the dominance of line-of-sight (LoS) links makes inter-cell interference a critical issue for cellular systems with hybrid terrestrial and aerial UEs. In this regard, extensive real-world simulations...

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“…unmanned aerial vehicles (UAVs). Providing connectivity to aerial users such as cellular connected UAVs is also a key challenge for tomorrow's cellular systems [28]. Concepts like adjoin beam-forming capable to provide content delivery to aerial users that exist together with several ground users, is under research.…”

Section: ) Moving Networkmentioning

confidence: 99%

Complex Systems: A Communication Networks Perspective Towards 6G

et al. 2020

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Over the last few years, the analysis and modeling of networks as well as the analysis and modeling of networked dynamical systems, has attracted considerable interdisciplinary interest, especially using the complex systems theory. These efforts are driven by the fact that systems, as diverse as genetic networks or the Internet can be effectively described as complex networks. Contrary, despite the unprecedented evolution of technology, basic issues and fundamental principles related to the structural and evolutionary properties of communication networks still remain largely unaddressed. The situation is even more complicated when we attempt to model the mobile communication networks and especially the 5th generation (5G) and eventually the forthcoming 6th generation (6G). In this work, we attempt to review basic models of complex networks from a communication networks perspective, focusing on their structural and evolutionary properties. Based on this review we aim to reveal the models of complex networks, that may apply when modeling the 5G and 6G mobile communication networks. Furthermore, we expect to encourage the collaboration between complex systems and networking theorists toward meeting the challenging demands of 5G networks and beyond. INDEX TERMS Complex systems, complex networks, networked complex system, 5G, 6G, wireless communications, wireless networks, mobile communication networks, modeling.

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Toward a Connected Sky: Performance of Beamforming With Down-Tilted Antennas for Ground and UAV User Co-Existence

Cited by 45 publications

References 20 publications

Cooperative Transmission and Probabilistic Caching for Clustered D2D Networks

Cooperative Transmission and Probabilistic Caching for Clustered D2D Networks

Mobility in the Sky: Performance and Mobility Analysis for Cellular-Connected UAVs

Complex Systems: A Communication Networks Perspective Towards 6G

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