Airborne Communication Networks: A Survey

Cao, Xianbin; Yang, Peng; Amroune, Mohamed; Xi, Xing; Wu, Dapeng; Yanıkömeroğlu, Halim

doi:10.1109/jsac.2018.2864423

Cited by 275 publications

(175 citation statements)

References 92 publications

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“…Recently, Khuwajaet al [32] provided an extensive survey of the measurement methods of UAV channel modeling and discussed various channel characterization for UAV communications. Cao et al [33] presented an overall view on research efforts in the areas of Low-Altitude Platforms (LAP)-based communication networks, High-Altitude Platform (HAP)-based communication networks, and integrated airborne communication networks. Liu et al [34] comprehensively surveyed the integration of satellite systems, aerial networks and terrestrial communications, focusing on the aspects of cross layer operation aided system design, mobility management, protocol design, performance analysis and optimization.…”

Section: Comparison Between Aanets and Fanetsmentioning

confidence: 99%

Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds

Chen²,

et al. 2019

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The engineering vision of relying on the "smart sky" for supporting air traffic and the "Internet above the clouds" for in-flight entertainment has become imperative for the future aircraft industry. Aeronautical ad hoc Networking (AANET) constitutes a compelling concept for providing broadband communications above clouds by extending the coverage of Air-to-Ground (A2G) networks to oceanic and remote airspace via autonomous and self-configured wireless networking amongst commercial passenger airplanes. The AANET concept may be viewed as a new member of the family of Mobile ad hoc Networks (MANETs) in action above the clouds. However, AANETs have more dynamic topologies, larger and more variable geographical network size, stricter security requirements and more hostile transmission conditions. These specific characteristics lead to more grave challenges in aircraft mobility modeling, aeronautical channel modeling and interference mitigation as well as in network scheduling and routing. This paper provides an overview of AANET solutions by characterizing the associated scenarios, requirements and challenges. Explicitly, the research addressing the key techniques of AANETs, such as their mobility models, network scheduling and routing, security and interference are reviewed. Furthermore, we also identify the remaining challenges associated with developing AANETs and present their prospective solutions as well as open issues. The design framework of AANETs and the key technical issues are investigated along with some recent research results. Furthermore, a range of performance metrics optimized in designing AANETs and a number of representative multi-objective optimization algorithms are outlined.

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Section: Comparison Between Aanets and Fanetsmentioning

confidence: 99%

Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds

Chen²,

et al. 2019

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“…[48] UAV in IoT networks. [49] Mechanisms for designing airborne communication networks. [50] Broadband communications with HAPs.…”

Section: Referencesmentioning

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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“…Within the framework of the given paper, the actual AI methods [27] can be mainly subdivided into multiagent systems (MAS), neural networks, and fuzzy logic systems. MAS are primarily applied for the modeling of software and hardware agents in the tasks of interaction with the environment and other agents, as well as for space positioning [28][29][30][31][32][33][34][35]. Modern versions of deep learning neural networks are concentrated on computer vision and speech procession [36][37][38][39].…”

Section: Actual Problems For Communication Networkmentioning

confidence: 99%

Heterogeneous Network Architecture for Integration of AI and Quantum Optics by Means of Multiple-Valued Logic

Bykovsky

2020

Quantum Reports

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Quantum optics is regarded as the acknowledged method to provide network quantum keys distribution and in the future secure distributed quantum computing, but it should also provide cryptography protection for mobile robots and the Internet of Things (IoT). This task requires the design of new secret coding schemes, which can be also based on multiple-valued logic (MVL). However, this very specific logic model reveals new possibilities for the hierarchical data clustering of arbitrary data sets. The minimization of multiple-valued logic functions is proposed for the analysis of aggregated objects, which is possible for an arbitrary number of variables. In order to use all the useful properties of the multiple-valued logic, the heterogeneous network architecture is proposed, which includes three allocated levels of artificial intelligence (AI) logic modeling for discrete multiple-valued logic, Boolean logic, and fuzzy logic. Multiple-valued logic is regarded as the possible platform for additional secret coding, data aggregation, and communications, which are provided by the united high dimensional space for network addressing and the targeted control of robotic devices. Models of Boolean and fuzzy logic are regarded as separate logic levels in order to simplify the integration of various algorithms and provide control of additional data protection means for robotic agents.

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Airborne Communication Networks: A Survey

Cited by 275 publications

References 92 publications

Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds

Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds

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

Heterogeneous Network Architecture for Integration of AI and Quantum Optics by Means of Multiple-Valued Logic

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