UAV-Aided Interference Assessment for Private 5G NR Deployments: Challenges and Solutions

Urama, Jani; Wiren, Richard; Galinina, Olga; Kauppi, Juhani; Hiltunen, Kimmo; Erkkila, Juha; Chernogorov, Fedor; Eteläaho, Pentti; Heikkilä, Matti; Torsner, Johan; Andreev, Sergey; Valkama, Mikko

doi:10.1109/mcom.001.2000042

Cited by 23 publications

(12 citation statements)

References 8 publications

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“…Shorter overview articles can be found in [47]- [51], whereas [52]- [63] comprise other surveys or tutorials on UAV communications. A further selection of contributions that are relevant to the present article is collected in the special issues [64]- [67].…”

Section: F Other Relevant Overview Articles Surveys and Tutorialsmentioning

confidence: 99%

“…Surveys on channel modeling [43], [44] UAV channel measurements [45], [46] Other relevant overview articles Selected references Shorter overview articles [47]- [51] Other surveys or tutorials [52]- [63] Special issues [64]- [67] Introduction to 5G and 6G Selected references 5G NR and the 6G vision [68]- [76] overwhelmed by an exponentially increasing number of online orders, relies on efficiently addressing the last-mile delivery bottleneck. To this end, the number of cargo-UAVs is expected to skyrocket, replacing delivery trucks and leading to less congested roads and more densely crowded skies [81].…”

Section: Uav Communicationsmentioning

confidence: 99%

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What Will the Future of UAV Cellular Communications Be? A Flight From 5G to 6G

Geraci

García‐Rodríguez

Azari

et al. 2022

IEEE Commun. Surv. Tutorials

184

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What will the future of UAV cellular communications be? In this tutorial article, we address such a compelling yet difficult question by embarking on a journey from 5G to 6G and expounding a large number of case studies supported by original results. We start by overviewing the status quo on UAV communications from an industrial standpoint, providing fresh updates from the 3GPP and detailing new 5G NR features in support of aerial devices. We then dissect the potential and the limitations of such features. In particular, we demonstrate how sub-6 GHz massive MIMO can successfully tackle cell selection and interference challenges, we showcase encouraging mmWave coverage evaluations in both urban and suburban/rural settings, and we examine the peculiarities of direct device-todevice communications in the sky. Moving on, we sneak a peek at next-generation UAV communications, listing some of the use cases envisioned for the 2030s. We identify the most promising 6G enablers for UAV communication, those expected to take the performance and reliability to the next level. For each of these disruptive new paradigms (non-terrestrial networks, cellfree architectures, artificial intelligence, reconfigurable intelligent surfaces, and THz communications), we gauge the prospective benefits for UAVs and discuss the main technological hurdles that stand in the way. All along, we distil our numerous findings into essential takeaways, and we identify key open problems worthy of further study.

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Section: F Other Relevant Overview Articles Surveys and Tutorialsmentioning

confidence: 99%

Section: Uav Communicationsmentioning

confidence: 99%

What Will the Future of UAV Cellular Communications Be? A Flight From 5G to 6G

Geraci

García‐Rodríguez

Azari

et al. 2022

IEEE Commun. Surv. Tutorials

184

View full text Add to dashboard Cite

show abstract

“…In terms of the research on the private UAV network, the work in [6] deployed a private blockchain-enabled UAV 5G network to meet dynamic user demands in a reliable and secure manner. In [7], the UAV-aided interference assessment for private 5G new radio (NR) deployments was investigated. The utilization of dedicated portions of cellular spectrum to provide the high-reliable command and control link for UAVs was evaluated in [8].…”

Section: A Related Workmentioning

confidence: 99%

Fresh, Fair and Energy-Efficient Content Provision in a Private and Cache-Enabled UAV Network

Yang,

Guo,

et al. 2021

Preprint

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In this paper, we investigate a private and cacheenabled unmanned aerial vehicle (UAV) network for content provision. Aiming at delivering fresh, fair, and energy-efficient content files to terrestrial users, we formulate a joint UAV caching, UAV trajectory, and UAV transmit power optimization problem. This problem is confirmed to be a sequential decision problem with mixed-integer non-convex constraints, which is intractable directly. To this end, we propose a novel algorithm based on the techniques of subproblem decomposition and convex approximation. Particularly, we first propose to decompose the sequential decision problem into multiple repeated optimization subproblems via a Lyapunov technique. Next, an iterative optimization scheme incorporating a successive convex approximation (SCA) technique is explored to tackle the challenging mixed-integer non-convex subproblems. Besides, we analyze the convergence of the proposed algorithm and derive the theoretical value of the expected peak age of information (PAoI) to estimate the content freshness. Simulation results demonstrate that the proposed algorithm can achieve the expected PAoI close to the theoretical value and is more 22.11% and 70.51% energyefficient and fairer than benchmark algorithms.

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“…For example, Qualcomm has tested the operability of UAVs for the long term evolution (LTE) and fifth-generation (5G) cellular applications [9]. Ericsson performed trials for 5G interference management with drones, previously they proposed connected drone testing as a fourthgeneration (4G) network solution [10]. As a result, 5G and beyond 5G (B5G) wireless networks will be able to use UAVs as an essential part of the next generation of mobile networks, and UAVs are also envisioned to work as a single system [11].…”

Section: Introductionmentioning

confidence: 99%

Multi-Tier Variable Height UAV Networks: User Coverage and Throughput Optimization

Nafees¹,

Thompson

Safari

2021

IEEE Access

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Unmanned aerial vehicles (UAVs) are increasingly considered to act as base stations (BSs) for the future wireless networks. Some of the crucial UAV-assisted network design challenges are the network coverage, throughput, and energy efficiency. Therefore, fast, low-complexity, and efficient UAV placement and resource allocation strategies are imperative. This paper presents a novel variable height multi-UAV deployment strategy to exploit the 3D flexibility of UAVs as BSs. We propose a multi-tier variable height UAV-based network deployment and compare its performance with the state-of-the-art equal height deployment. Height optimization is performed to deliver energy efficiency and throughput maximization for each cell. The results show that our proposed method is more energy-efficient in a multicell UAV network than the most widely used height optimization method in the literature. In UAV networks, users at the cell edges can receive very poor signal-to-interference-plus-noise ratio (SINR) levels due to interfering UAVs. To cope with this problem, we adopt a fractional frequency reuse (FFR) scheme to compensate low SINR levels. We optimize the SINR threshold corresponding to each cell to maximize their spectral efficiency (SE), thereby improving the network's area spectral efficiency (ASE). The numerical results show that the proposed deployments provide significant gains in coverage density, SINR coverage probability, rate coverage, and ASE compared to equal height benchmark scheme. As the number of UAVs increases, the number of tiers need to increase to preserve the rate coverage of the network. Moreover, the performance of the proposed variable height model is expected to converge to that of equal height cellular design for a large number of UAVs.

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UAV-Aided Interference Assessment for Private 5G NR Deployments: Challenges and Solutions

Cited by 23 publications

References 8 publications

What Will the Future of UAV Cellular Communications Be? A Flight From 5G to 6G

What Will the Future of UAV Cellular Communications Be? A Flight From 5G to 6G

Fresh, Fair and Energy-Efficient Content Provision in a Private and Cache-Enabled UAV Network

Multi-Tier Variable Height UAV Networks: User Coverage and Throughput Optimization

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