3D Channel Characterization and Performance Analysis of UAV-Assisted Millimeter Wave Links

Dabiri, Mohammad Taghi; Rezaee, Mohsen; Yazdanian, Vahid; Maham, Behrouz; Saad, Walid; Hong, Choong Seon

doi:10.1109/twc.2020.3023477

Cited by 48 publications

(58 citation statements)

References 38 publications

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“…In particular, with numerical results, the authors studied the performances of the proposed spectrum management for mmWave based backhaul in five different scenarios. The performance of UAV-based mmWave backhaul link is investigated in [17], [18] when UAVs are equipped with linear and square array antennas. More recently, a fast algorithm for 3D optimal placement of rotary-wing UAVs is proposed in [19] to provide a long mmWave backhaul link.…”

Section: B Literature Review and Motivationmentioning

confidence: 99%

Enabling Long mmWave Aerial Backhaul Links via Fixed-Wing UAVs: Performance and Design

Dabiri¹,

Hasna²,

Khattab³

2022

Preprint

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We propose a fixed wing unmanned aerial vehicles (UAV)-based millimeter wave (mmWave) backhaul links, that is offered as a cost effective and easy to deploy solution, to connect a disaster or remote area to the nearest core network. First, we fully characterize the single relay fixed-wing UAVbased communication system by taking into account the effects of realistic physical parameters, such as the UAV's circular path, critical points of the flight path, heights and positions of obstacles, flight altitude, tracking error, the severity of UAV's vibrations, the real 3D antenna pattern, mmWave atmospheric channel loss, temperature and air pressure. Second, we derive the distribution of the signal-to-noise ratio (SNR) metric, which is based on the sum of a series of Dirac delta functions. Using the SNR distribution, we derive closed-form expressions for the outage probability and the ergodic capacity of the considered system as a function of all system parameters. To provide an acceptable quality of service for longer link lengths, we extend the analytical expressions to a multi-relay system. The accuracy of the closed-form expressions are verified by Monte-Carlo simulations. Finally, by providing sufficient simulation results, we investigate the effects of key channel parameters such as antenna pattern gain and flight path on the performance of the considered system; and we carefully analyze the relationships between these parameters in order to maximize the average channel capacity.

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Section: B Literature Review and Motivationmentioning

confidence: 99%

Enabling Long mmWave Aerial Backhaul Links via Fixed-Wing UAVs: Performance and Design

Dabiri¹,

Hasna²,

Khattab³

2022

Preprint

Self Cite

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“…For A2A channel modelling, the work in [24] developed a 3D stochastic model and also used a 3D Markov mobility model to capture the movements of the UAV operation. The work in [25] also investigated the characteristics of A2A channel modelling including the large scale path loss, small scale fading along with antenna patterns. Although a lot of channel models have been developed for A2G, G2A and A2A communication, most of the existing work is mainly based on simple assumptions.…”

Section: A 3d Channel Modelmentioning

confidence: 99%

Unlocking the Potential of 5G and Beyond Networks to Support Massive Access of Ground and Air Devices

Miao

Luo

Min

et al. 2021

IEEE Trans. Netw. Sci. Eng.

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Flying devices, e.g., Unmanned Aerial Vehicles (UAV) and High Altitude Platforms (HAP) are showing great potentials to revolutionise human society with unprecedented efficiency and convenience. 5G and beyond (5GB) networks have been considered as an important infrastructure for supporting flying devices to accomplish mission-critical applications. However, most of the existing research on 5GB networks mainly focuses on technology evolution to support ground devices, paying insufficient attention to the emerging large-scale deployment of flying devices. To fill the gap, this study aims to identify the differences when 5GB networks are used to provide massive access services for the ground devices and their counterpart flying in the air and analyse in which aspects that 5GB should be enhanced to serve flying devices. In detail, a holistic 5GB architecture is presented to support both ground and flying devices. Then, the unique features of flying devices are analysed with a focus on the challenges they bring to 5GB systems. Facing these challenges, we thoroughly investigate the advantages and disadvantages of 5GB key technologies. Furthermore, a case study is presented to demonstrate that flying devices not only create new issues for 5GB design, but also bring new opportunities for 5GB to enhance their service capabilities.

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“…In recent years, more and more scholars have begun to use unmanned aerial vehicles (UAVs) to assist communication [17][18][19]. Its unique advantages of cheapness and flexibility enable the networks to provide better services to devices at a very low cost.…”

Section: Related Workmentioning

confidence: 99%

Cluster Design and Optimization of SWIPT-Based MEC Networks with UAV Assistance

Xuefei

Huang

2021

Wireless Communications and Mobile Computing

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In recent years, service isolation and service miniaturization have become very popular. The large services are dismantled into multiple low-cost and simple small services to improve the scalability and disaster tolerance of the entire services. A service network composed of unmanned aerial vehicles (UAVs) and MEC servers is proposed in this paper, which aims at decoupling multiple services of the SWIPT-MEC network. In this network, UAVs take charge of energy transmission and calculation task scheduling and MEC servers are focused on task calculation. To meet the resource requirements of the ground nodes (GNs) in the network, we designed a distributed iterative algorithm to solve the resource allocation decision problem of GNs and used the modified expert bat algorithm to complete the UAV’s trajectory planning in a two-dimensional space. The results show that the algorithm can formulate a more fair resource allocation strategy, and its performance is improved by 7% compared with the traditional bat algorithm. In addition, the algorithm in this paper can also adapt to changes in task length and has a certain degree of stability.

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3D Channel Characterization and Performance Analysis of UAV-Assisted Millimeter Wave Links

Cited by 48 publications

References 38 publications

Enabling Long mmWave Aerial Backhaul Links via Fixed-Wing UAVs: Performance and Design

Enabling Long mmWave Aerial Backhaul Links via Fixed-Wing UAVs: Performance and Design

Unlocking the Potential of 5G and Beyond Networks to Support Massive Access of Ground and Air Devices

Cluster Design and Optimization of SWIPT-Based MEC Networks with UAV Assistance

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