Proactive Drone-Cell Deployment: Overload Relief for a Cellular Network Under Flash Crowd Traffic

Yang, Peng; Cao, Xianbin; Yin, Chao; Xiao, Zhenyu; Xi, Xing; Wu, Dapeng

doi:10.1109/tits.2017.2700432

Cited by 113 publications

(46 citation statements)

References 26 publications

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“…These exciting new opportunities for using various types of UAVs for wireless networking purposes have spawned numerous recent research activities in the area [7]- [15], [33]- [43]. These works also include a number of interesting surveys such as in [14], [15], [31], [33], [44]- [55].…”

Section: Relevant Surveys On Uavs and Our Contributionsmentioning

confidence: 99%

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

Mozaffari

Saad

Bennis

et al. 2019

IEEE Commun. Surv. Tutorials

2,187

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: Relevant Surveys On Uavs and Our Contributionsmentioning

confidence: 99%

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

Mozaffari

Saad

Bennis

et al. 2019

IEEE Commun. Surv. Tutorials

2,187

1,175

View full text Add to dashboard Cite

show abstract

“…In [28], the authors constructed a non-cooperative game and studied the equilibrium beaconing durations in terms of energy efficiency of the competing drones for temporary events. A proactive drone cell deployment scheme was investigated in [29] to cope with flash crowd traffic in different scenarios, including stadiums. A limited feedback scheme for non-orthogonal multiple access was designed for millimeter wave drone to provide coverage over a stadium in [30].…”

Section: B Related Workmentioning

confidence: 99%

“…This is based on the assumption that the terrestrial adjacent cells use different frequencies, while the TBS and the underlay ABS share the same spectrum resource. Hence, the interference from far away cells becomes negligible and can be ignored [29], [31]. Note that the single terrestrial cell model is commonly used in literature for underlay network analysis [32], [33].…”

Section: System Modelmentioning

confidence: 99%

Underlay Drone Cell for Temporary Events: Impact of Drone Height and Aerial Channel Environments

Zhou

Durrani

Guo

et al. 2019

IEEE Internet Things J.

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Providing seamless connection to a large number of devices is one of the biggest challenges for the Internet of Things (IoT) networks. Using a drone as an aerial base station (ABS) to provide coverage to devices or users on ground is envisaged as a promising solution for IoT networks. In this paper, we consider a communication network with an underlay ABS to provide coverage for a temporary event, such as a sporting event or a concert in a stadium. Using stochastic geometry, we propose a general analytical framework to compute the uplink and downlink coverage probabilities for both the aerial and the terrestrial cellular system. Our framework is valid for any aerial channel model for which the probabilistic functions of line-of-sight (LOS) and non-line-of-sight (NLOS) links are specified. The accuracy of the analytical results is verified by Monte Carlo simulations considering two commonly adopted aerial channel models. Our results show the non-trivial impact of the different aerial channel environments (i.e., suburban, urban, dense urban and high-rise urban) on the uplink and downlink coverage probabilities and provide design guidelines for best ABS deployment height.

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“…For fulfilling high data rate demands, unmanned aerial vehicles (UAVs), working as aerial base stations (ABSs) have recently received a lot of interest [2], [3]. Essentially, ABSs are highly useful for servicing flash crowds such as festivals, carnivals, musical concerts, sport events etc., where large group of people demand for high data rates [4]. This also conducts to compact and small cell architectures, leading to the concept of ultra-dense cloud drone networks [5].…”

Section: Introductionmentioning

confidence: 99%

“…The main advantages of LAPs are improved SER with better line-of-sight (LoS) probability and lower path loss (PL). Also, we do not consider the case of moving ABSs since the users are in flash crowds, where large number of people are present in a small area [4]. Such a scenario would be well served by a static UAV, with the possibility of hovering close to the users while maintaining a safe distance.…”

Section: Introductionmentioning

confidence: 99%

Impact of CFO on Low Latency-Enabled UAV Using "Better Than Nyquist" Pulse Shaping in GFDM

Sharma

Kumar

Magarini

et al. 2019

2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)

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Low altitude aerial base stations onboard unmanned aerial vehicles (UAVs) have recently gained a lot of attention to provide cellular coverage to mobile ground users. In this paper we evaluate the effect of carrier frequency offset (CFO) on the symbol error rate in the downlink of such systems, where a long-term evolution (LTE) compatible time-frequency grid based on generalized frequency division multiplexing (GFDM) is considered. The choice of GFDM as multi-carrier modulation scheme is motivated by its widely proposed application in fifth generation cellular systems and its backward compatibility with LTE. Simulation results are shown for "Better than the Nyquist (BTN)" pulse shaping filters in three different environments: Suburban, Urban and Urban High Rise. The use of BTN pulse shaping filters allows for higher robustness to CFO as compared to base line pulse shaping filer know as root-raised cosine filters for different environments conditions. Simulation results are presented considering realistic air-to-ground propagation conditions generated from the commercial Wireless InSite raytracing radio propagation software.

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Proactive Drone-Cell Deployment: Overload Relief for a Cellular Network Under Flash Crowd Traffic

Cited by 113 publications

References 26 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

Underlay Drone Cell for Temporary Events: Impact of Drone Height and Aerial Channel Environments

Impact of CFO on Low Latency-Enabled UAV Using "Better Than Nyquist" Pulse Shaping in GFDM

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