Overcoming Endurance Issue: UAV-Enabled Communications With Proactive Caching

Xu, Xiaoli; Zeng, Yong; Guan, Yong Liang; Zhang, Rui

doi:10.1109/jsac.2018.2844979

Cited by 152 publications

(83 citation statements)

References 39 publications

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“…However, the performance of the UAV-aided caching system is practically limited by the endurance of UAVs. To overcome this issue, [229] proposed a promising solution by jointly exploiting the D2D communications among the ground users and their proactive caching. Specifically, a UAV is dispatched to serve a group of ground users with random and asynchronous file requests and each service period is divided into two phases, i.e., the file caching phase and the file retrieval phase.…”

Section: B Cachingmentioning

confidence: 99%

Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond

2019

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Unmanned aerial vehicles (UAVs) have found numerous applications and are expected to bring fertile business opportunities in the next decade. Among various enabling technologies for UAVs, wireless communication is essential and has drawn significantly growing attention in recent years. Compared to the conventional terrestrial communications, UAVs' communications face new challenges due to their high altitude above the ground and great flexibility of movement in the threedimensional (3D) space. Several critical issues arise, including the line-of-sight (LoS) dominant UAV-ground channels and resultant strong aerial-terrestrial network interference, the distinct communication quality of service (QoS) requirements for UAV control messages versus payload data, the stringent constraints imposed by the size, weight and power (SWAP) limitations of UAVs, as well as the exploitation of the new design degree of freedom (DoF) brought by the highly controllable 3D UAV mobility. In this paper, we give a tutorial overview of the recent advances in UAV communications to address the above issues, with an emphasis on how to integrate UAVs into the forthcoming fifth-generation (5G) and future cellular networks. In particular, we partition our discussions into two promising research and application frameworks of UAV communications, namely UAVassisted wireless communications and cellular-connected UAVs, where UAVs serve as aerial communication platforms and users, respectively. Furthermore, we point out promising directions for future research and investigation. KeywordsUnmanned aerial vehicle (UAV), wireless communication, cellular network, channel model, antenna model, energy efficiency, air-ground interference, 3D placement and trajectory, optimization. TechnologyDescription Advantages Disadvantages Direct linkDirect point-to-point communication with ground node Simple, low cost Limited range, low data rate, vulnerable to interference, non-scalable Satellite Communication and Internet access via satellite Global coverage Costly, heavy/bulky/energyconsuming communication equipment, high latency, large signal attenuation Ad-hoc network Dynamically self-organizing and infrastructure-free network Robust and adaptable, support for high mobility Costly, low spectrum efficiency, intermittent connectivity, complex routing protocol Cellular network Enabling UAV communications by using cellular infrastructure and technologies Almost ubiquitous accessibility, cost-effective, superior performance and scalability Unavailable in remote areas, potential interference with terrestrial communications and high reliability/throughput for both air-to-air and airto-ground wireless communications in the three-dimensional (3D) space. Towards this end, four candidate communication technologies are listed and compared in Table III, including i) direct link; ii) satellite; iii) ad-hoc network; and iv) cellular network. In the following, we discuss the advantages as well as limitations of each of these technologies in detail.1) Direct Link: Due to its simpli...

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Section: B Cachingmentioning

confidence: 99%

Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond

2019

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“…Next, we adjust the updated user and backhaul power allocations based on the total power allocations of each BS to satisfy the inequality constraint in (10c). First, the user power allocations in (17) are adjusted using the following fixed-point equation:…”

Section: A Fixed-point Iteration Methods For Pamentioning

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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“…Reference [42] extends caching to communication scenarios with Unmanned Aerial Vehicles (UAVs). Specifically, it proposes policies that decide jointly caching and trajectories of UAVs in order to maximize the efficiency of content delivery.…”

Section: B Caching In Wireless Systemsmentioning

confidence: 99%

The Role of Caching in Future Communication Systems and Networks

Paschos

Iosifidis

Tao

et al. 2018

IEEE J. Select. Areas Commun.

238

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This paper has the following ambitious goal: to convince the reader that content caching is an exciting research topic for the future communication systems and networks. Caching has been studied for more than 40 years, and has recently received increased attention from industry and academia. Novel caching techniques promise to push the network performance to unprecedented limits, but also pose significant technical challenges. This tutorial provides a brief overview of existing caching solutions, discusses seminal papers that open new directions in caching, and presents the contributions of this Special Issue. We analyze the challenges that caching needs to address today, considering also an industry perspective, and identify bottleneck issues that must be resolved to unleash the full potential of this promising technique.

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Overcoming Endurance Issue: UAV-Enabled Communications With Proactive Caching

Cited by 152 publications

References 39 publications

Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond

Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond

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

The Role of Caching in Future Communication Systems and Networks

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