Deployment Algorithms of Flying Base Stations: 5G and Beyond With UAVs

Wang, Haijun; Zhao, Haitao; Wu, Wei; Xiong, Jun; Ma, Dongtang; Wei, Jibo

doi:10.1109/jiot.2019.2935105

Cited by 110 publications

(43 citation statements)

References 36 publications

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“…The advent of the next generation of mobile networks (i.e., 5G, B5G, and 6G) will undoubtedly revolutionize the world of telecommunications [172]. Furthermore, when UAVs are integrated to support these mobile networks, they can effectively extend their capacity [173]. Indeed, given their computing, storage, and networking capabilities, UAVs can be considered as a flexible platform to both support cost-effective communications and enable the shared use of resources in the next generation of mobile networks [174].…”

Section: F Motivations For Adopting Nfv In Uav Networkmentioning

confidence: 99%

Softwarization of UAV Networks: A Survey of Applications and Future Trends

et al. 2020

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Unmanned Aerial Vehicles (UAVs) have become increasingly important in assisting 5G and beyond 5G (B5G) mobile networks. Indeed, UAVs have all the potentials to both satisfy the ever-increasing mobile data demands of such mobile networks and provide ubiquitous connectivity to different kinds of wireless devices. However, the UAV assistance paradigm faces a set of crucial issues and challenges. For example, the network management of current UAV-assisted systems is time consuming, complicated, and carried out manually, thus causing a multitude of interoperability issues. To efficiently address all these issues, Software-Defined Network (SDN) and Network Function Virtualization (NFV) are two promising technologies to efficiently manage and improve the UAV assistance for the next generation of mobile networks. In the literature, no clear guidelines are describing the different use cases of SDN and NFV in the context of UAV assistance to terrestrial networks, including mobile networks. Motivated by this fact, in this survey, we guide the reader through a comprehensive discussion of the main characteristics of SDN and NFV technologies. Moreover, we provide a thorough analysis of the different classifications, use cases, and challenges related to UAV-assisted systems. We then discuss SDN/NFV-enabled UAV-assisted systems, along with several case studies and issues, such as the involvement of UAVs in cellular communications, monitoring, and routing, to name a few. We furthermore present a set of open research challenges, high-level insights, and future research directions related to UAV-assisted systems.

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Section: F Motivations For Adopting Nfv In Uav Networkmentioning

confidence: 99%

Softwarization of UAV Networks: A Survey of Applications and Future Trends

et al. 2020

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“…To deliver emergency messages from operational BSs outside the disaster region, UAVs are deployed hierarchically. On the other hand, the authors in [ 33 ] proposed a hybrid algorithm to minimize the number of UAVs and maximizing the load balancing among the UAVs.…”

Section: Uiot Communication Architecture and Application Scenariosmentioning

confidence: 99%

Medium Access Control Protocols for the Internet of Things Based on Unmanned Aerial Vehicles: A Comparative Survey

Khisa

Moh

2020

Sensors

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The Internet of Things (IoT), which consists of a large number of small low-cost devices, has become a leading solution for smart cities, smart agriculture, smart buildings, smart grids, e-healthcare, etc. Integrating unmanned aerial vehicles (UAVs) with IoT can result in an airborne UAV-based IoT (UIoT) system and facilitate various value-added services from sky to ground. In addition to wireless sensors, various kinds of IoT devices are connected in UIoT, making the network more heterogeneous. In a UIoT system, for achieving high throughput in an energy-efficient manner, it is crucial to design an efficient medium access control (MAC) protocol because the MAC layer is responsible for coordinating access among the IoT devices in the shared wireless medium. Thus, various MAC protocols with different objectives have been reported for UIoT. However, to the best of the authors’ knowledge, no survey had been performed so far that dedicatedly covers MAC protocols for UIoT. Hence, in this study, state-of-the-art MAC protocols for UIoT are investigated. First, the communication architecture and important design considerations of MAC protocols for UIoT are examined. Subsequently, different MAC protocols for UIoT are classified, reviewed, and discussed with regard to the main ideas, innovative features, advantages, limitations, application domains, and potential future improvements. The reviewed MAC protocols are qualitatively compared with regard to various operational characteristics and system parameters. Additionally, important open research issues and challenges with recommended solutions are summarized and discussed.

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“…One studies the optimization of UAV trajectory and position, and air-to-ground channel models in recent years and tries to integrate UAVs into 5G communication systems to enhance the system performance by utilizing some unique characteristics of UAVs, such as the high line of sight (LoS) links' possibility [1]. Moreover, in the literature, UAVs have been widely applied as base stations [2], [15], [16], [19]- [22], [28], [29], relays [3], [17], [18], [24]- [27], wireless chargers [4], data collectors/disseminators [5], [23], and mobile edge computing (MEC) servers [6].…”

Section: Introductionmentioning

confidence: 99%

“…Thirdly, there is a tendency to consider the connectivity among UAVs, e.g., in terms of the robustness of UAV networks [26]- [29]. Reference [26] mainly focuses on how to establish a dynamic UAV network to connect each ground node with a gateway node, and then solves this problem by playing a network formation game to guarantee the connectivity among all nodes.…”

Section: Introductionmentioning

confidence: 99%

Joint Position and Resource Optimization for Multi-UAV-Aided Relaying Systems

Chen

2020

IEEE Access

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Unmanned aerial vehicles (UAVs) can enhance the overall performance of terrestrial communication systems due to their high possibility of the line of sight (LoS) links and on-demand deployments. The advantages of the UAV position optimization now attract attentions from researchers to study the cooperation among static UAV relays. In this paper, we study a relaying system, where multiple UAVs establish a cooperative UAV relay network to help some transmitters (Txs) communicate with their corresponding receivers (Rxs) by employing orthogonal frequency division multiple access (OFDMA). We maximize the paired Tx-Rxs' minimum rate through solving a non-convex, information causality constraints involved problem by optimizing the UAV relays' locations, nodes' powers, and bandwidth allocations together. An iterative algorithm is proposed by using block coordinate descent (BCD) and successive convex approximation (SCA) methods. Moreover, we also propose a new position initialization method, discuss some special cases of our problem to show some insights for future works, and prove the convergence of our algorithm. Simulations show the effectiveness of our proposed algorithm, some interesting trade-offs about the optimized UAVs' locations, and the influence of available resources.

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Deployment Algorithms of Flying Base Stations: 5G and Beyond With UAVs

Cited by 110 publications

References 36 publications

Softwarization of UAV Networks: A Survey of Applications and Future Trends

Softwarization of UAV Networks: A Survey of Applications and Future Trends

Medium Access Control Protocols for the Internet of Things Based on Unmanned Aerial Vehicles: A Comparative Survey

Joint Position and Resource Optimization for Multi-UAV-Aided Relaying Systems

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