Communications and Control for Wireless Drone-Based Antenna Array

Mozaffari, Mohammad; Saad, Walid; Bennis, Mehdi; Debbah, Mérouane

doi:10.1109/tcomm.2018.2871453

Cited by 98 publications

(28 citation statements)

References 34 publications

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“…Furthermore, the use of a drone-based wireless antenna array, that we introduced in [76], provides a unique opportunity for airborne beamforming. A drone antenna array whose elements are single-antenna drones can provide MIMO and beamforming opportunities to effectively service ground users in downlink and uplink scenarios.…”

Section: Uav Networkmentioning

confidence: 99%

“…On the other hand, with the use of small-size antennas (at mmW frequencies) on UAVs, one can exploit advanced MIMO techniques such as massive MIMO in order to operate mmW communications. Meanwhile, swarms of UAVs can create reconfigurable antenna arrays in the sky [76]. 5) UAVs for IoT Communications: Wireless networking technologies are rapidly evolving into a massive IoT environment that must integrate a heterogeneous mix of devices ranging from conventional smartphones and tablets to vehicles, sensors, wearables, and naturally, drones.…”

Section: Uav Networkmentioning

confidence: 99%

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A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

Mozaffari

Saad

Bennis

et al. 2019

IEEE Commun. Surv. Tutorials

Self Cite

2,201

1,175

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The use of flying platforms such as unmanned aerial vehicles (UAVs), popularly known as drones, is rapidly growing. In particular, with their inherent attributes such as mobility, flexibility, and adaptive altitude, UAVs admit several key potential applications in wireless systems. On the one hand, UAVs can be used as aerial base stations to enhance coverage, capacity, reliability, and energy efficiency of wireless networks. On the other hand, UAVs can operate as flying mobile terminals within a cellular network. Such cellular-connected UAVs can enable several applications ranging from real-time video streaming to item delivery. In this paper, a comprehensive tutorial on the potential benefits and applications of UAVs in wireless communications is presented. Moreover, the important challenges and the fundamental tradeoffs in UAV-enabled wireless networks are thoroughly investigated. In particular, the key UAV challenges such as three-dimensional deployment, performance analysis, channel modeling, and energy efficiency are explored along with representative results. Then, open problems and potential research directions pertaining to UAV communications are introduced. Finally, various analytical frameworks and mathematical tools such as optimization theory, machine learning, stochastic geometry, transport theory, and game theory are described. The use of such tools for addressing unique UAV problems is also presented. In a nutshell, this tutorial provides key guidelines on how to analyze, optimize, and design UAV-based wireless communication systems. arXiv:1803.00680v2 [cs.IT] 17 Mar 2019 particular, the work in [45] discussed the applications of flying ad-hoc networks, design considerations, communication protocols, and privacy aspects. In [46], a comprehensive review of UAV-based flying ad hoc networks (FANETs) and their challenges are provided. Moreover, several FANET design challenges in terms of mobility, node density, topology change, radio propagation model, and power consumption are investigated. The survey in [47] discussed the design challenges pertaining to the use of UAVs as relay nodes in flying adhoc networks. The work in [48] provided a comprehensive survey on the potential use of UAVs for supporting IoT services. In particular, key challenges and requirements for designing UAV-assisted IoT networks are discussed in [48]. In [49], the authors surveyed different mechanisms and protocols for developing airborne communication networks while considering low-altitude-platform communications, high-altitudeplatform communications, and integrated airborne communication systems. The survey in [50] studied the use of HAPs for broadband communications. Moreover, it described key advantages of HAPs compared to terrestrial and satellite networks, suitable HAP airships, frequency bands, and possible HAP-based network architectures. The authors in [51] studied the challenges and advantages associated with a multi-tier drone network architecture. Moreover, this work investigated the performance of a multi-tier drone...

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Section: Uav Networkmentioning

confidence: 99%

Section: Uav Networkmentioning

confidence: 99%

A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

Mozaffari

Saad

Bennis

et al. 2019

IEEE Commun. Surv. Tutorials

Self Cite

2,201

1,175

View full text Add to dashboard Cite

show abstract

“…Hence, it is solved using the two-stage iterative algorithm in Algorithm 3. Finally, PA and PB can be defined as (36) and (37), respectively where:…”

Section: Network Sum Rate Maximizationmentioning

confidence: 99%

Interference Management in UAV-Assisted Integrated Access and Backhaul Cellular Networks

et al. 2019

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An integrated access and backhaul (IAB) network architecture can enable flexible and fast deployment of nextgeneration cellular networks. However, mutual interference between access and backhaul links, small inter-site distance and spatial dynamics of user distribution pose major challenges in the practical deployment of IAB networks. To tackle these problems, we leverage the flying capabilities of unmanned aerial vehicles (UAVs) as hovering IAB-nodes and propose an interference management algorithm to maximize the overall sum rate of the IAB network. In particular, we jointly optimize the user and base station associations, the downlink power allocations for access and backhaul transmissions, and the spatial configurations of UAVs. We consider two spatial configuration modes of UAVs: distributed UAVs and drone antenna array (DAA), and show how they are intertwined with the spatial distribution of ground users. Our numerical results show that the proposed algorithm achieves an average of 2.9× and 6.7× gains in the received downlink signal-to-interference-plus-noise ratio (SINR) and overall network sum rate, respectively. Finally, the numerical results reveal that UAVs cannot only be used for coverage improvement but also for capacity boosting in IAB cellular networks.Index Terms-3D localization, downlink, drone, drone antenna array (DAA), in-band, integrated access and backhaul (IAB), optimization, UAV.

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“…Recently, cooperative communication among UAVs has been proposed. This technique relies on creating a virtual antenna array using a swarm of UAVs to control interference in UAV based cellular access [6,7,8]. A major challenge for the cooperative UAVs swarm array is the high throughput requirement for the backhaul.…”

Section: Introductionmentioning

confidence: 99%

Distributed UAV Placement Optimization for Cooperative Line-of-sight MIMO Communications

Hanna

Han

Čabrić

2019

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Cooperative communication using unmanned aerial vehicles (UAVs) is a promising technology for infrastructureless wireless networks. One of the key challenges in UAV based communications is the backhaul throughput. In this paper, we propose optimization of the UAV swarm positions to achieve a high mulitplexing gain in line-of-sight (LoS) MIMO backhaul. We develop two distributed algorithms to position the UAVs such that each UAV moves a minimal distance to realize the highest capacity LoS MIMO channel. The first approach uses iterative gradient descent (GD) and the second uses iterative brute force (BF). Simulations show that both algorithms can achieve up to 6 times higher capacity compared to the approach relying on random UAV placement, earlier proposed in the literature. BF has the advantage of not requiring any location information, while GD is less sensitive to errors in motion.Index Terms-Unmanned aerial vehicle (UAV), lineof-sight MIMO, MIMO degrees of freedom, placement optimization, distributed algorithm.

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Communications and Control for Wireless Drone-Based Antenna Array

Cited by 98 publications

References 34 publications

A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

Interference Management in UAV-Assisted Integrated Access and Backhaul Cellular Networks

Distributed UAV Placement Optimization for Cooperative Line-of-sight MIMO Communications

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