UABeam: UAV-Based Beamforming System Analysis with In-Field Air-to-Ground Channels

Shi, Yan; Enami, Rita; Wensowitch, John; Camp, Joseph

doi:10.1109/sahcn.2018.8397110

Cited by 17 publications

(11 citation statements)

References 19 publications

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“…Chen et al [95] Young and Bostian [27] Miko and Nemeth [96] Harounabadi et al [97] Brown et al [98] Reyes et al [10] Guevara et al [99] Anderson et al [100] Mikó and Németh [101] Andryeyev et al [102] Saleem et al [9] VonEhr et al [103] Jacob et al [15] Tato et al [104] Murphy et al [105] Sboui et al [106] Gutierrez et al [107] Gonzalez and Fung [108] Horapong et al [109] Zhang et al [110] Ghazzai et al [111] Cai et al [112] Noble et al [113] Petrolo et al [114] Shi et al [115] Huang et al [116] Shi et al [117] Liu et al [118] Sklivanitis et al [119] Pärlin et al [120] Dunne and Keenlance [121] Shamaei et al [122] Santana et al [51] Jadon et al [123] Torabi et al [124] Xu et al [125] Pan et al [126] Shen et al [127] Aftab et al [128] Adane [129] Almasoud and Kamal [130] Matheou et al [131] Wang et al [132] Murphy et al…”

Section: Q1 Q2 Q3 Q4 Q5mentioning

confidence: 99%

Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview

Santana

Cristo

Branco

2021

Sensors

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Unmanned Aerial Vehicles (UAVs) demand technologies so they can not only fly autonomously, but also communicate with base stations, flight controllers, computers, devices, or even other UAVs. Still, UAVs usually operate within unlicensed spectrum bands, competing against the increasing number of mobile devices and other wireless networks. Combining UAVs with Cognitive Radio (CR) may increase their general communication performance, thus allowing them to execute missions where the conventional UAVs face limitations. CR provides a smart wireless communication which, instead of using a transmission frequency defined in the hardware, uses software transmission. CR smartly uses free transmission channels and/or chooses them according to application’s requirements. Moreover, CR is considered a key enabler for deploying technologies that require high connectivity, such as Smart Cities, 5G, Internet of Things (IoT), and the Internet of Flying Things (IoFT). This paper presents an overview on the field of CR for UAV communications and its state-of-the-art, testbed alternatives for real data experiments, as well as specifications to build a simple and low-cost testbed, and indicates key opportunities and future challenges in the field.

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Section: Q1 Q2 Q3 Q4 Q5mentioning

confidence: 99%

Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview

Santana

Cristo

Branco

2021

Sensors

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“…[32] propose the idea of delivering internet connectivity to rural areas using tethered aerostats with Wi-Fi (802.11a, b, g) wireless point to multipoint. Aerial platforms tend to utilize MIMO antennas due to their potential of diversity gains which in turn may lead to maximizing capacity and link budget, extending coverage range, improving Quality of Service (QoS), reducing battery requirements and minimizing power transmission and fading [22,25,[33][34][35][36][37][38][39]. [40] argues that improved reliability, wireless connectivity, and energy efficiency may be maintained by using beamforming via MIMO techniques.…”

Section: Related Research Reviewmentioning

confidence: 99%

An enhanced design of a 5G MIMO antenna for fixed wireless aerial access

Almalki

Angelides

2021

Cluster Comput

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A recent market prediction is that 5G Fixed Wireless Access (FWA) will more than double over the next five years and trials at the same period in London suggest promising results. However, the shift to 5G FWA has raised a new set of research challenges in relation to speed of deployment and re-deployment, coverage, power consumption, end user mobility and last mile connectivity, to name just a few, because of the much higher expectations. A recent review reveals that key 5G Physical Layer technologies that will enable wide mobile and FWA have not kept up pace. In response to some of those research challenges, this paper presents the design of a 5G Multiple Input Multiple Output (MIMO) Antenna that is mounted on a tethered aerostat, and the combination of which serves as a 5G FWA aerial station. The antenna design features several novelties and the aerial station can provide last mile connectivity to a wide coverage footprint, with moderate power consumption and operating at high speeds. Both the evaluation of the antenna performance using several key performance indicators and the validation of the aerial station as a 5G FWA in a wireless sensor network (WSN) proof-of-concept application reveal efficiency gains.

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“…Measurement campaign with CIR based large and small scale fading analysis however, limited to an open area and very low altitude (16 m) was performed in [58]. In [59], only path loss and throughput were measured in open area scenarios within cellular (900 MHz and 1800 MHz) and Wi-Fi (5 GHz) bands for a maximum altitude of 30 m. In the continuation of this research [60], while UAV was hovering and flying in a circular path with 6 m/s speed, bit error rate (BER) and throughput were measured. A measurement campaign in the open area was done for large scale and small scale A2G channel modelling in frequency bands around 1.8 GHz and 5.7 GHz for LOS communication link with an altitude of 30 m [61].…”

Section: A2g Channel Modellingmentioning

confidence: 99%

A survey of radio propagation channel modelling for low altitude flying base stations

2020

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The increased utilization of unmanned aerial vehicles (UAVs) in the commercial market and military on account of their agility, nonpiloted and easy manoeuvering leads their applications in the telecommunication sector as well. It is expected that UAVs will play a vital role in 5G and Beyond 5G (B5G) networks as flying base stations (BSs) and/or relays. Recently, they are also proposed to assist the existing terrestrial communication infrastructure in forthcoming 5G/B5G to provide improved wireless network coverage particularly to the areas difficult to reach, the scenarios demanding high data rate and low latency on emergency needs, transceiving sensors data from field to the ground servers and providing wireless network coverage in a disaster where existing terrestrial communication infrastructure gets partially/severely damaged. However, it is of an utmost challenge to model the radio propagation channel from a UAV (low altitude platforms) to existing terrestrial BSs, the receiver on ground and with other flying UAVs in a network. This paper provides a survey of both measurement and simulation based radio propagation channel modelling investigations for a low altitude UAV enabled wireless network. Furthermore, the potential open research gaps and use cases are highlighted which will be key to define the role of UAVs in future wireless networks for various applications.

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UABeam: UAV-Based Beamforming System Analysis with In-Field Air-to-Ground Channels

Cited by 17 publications

References 19 publications

Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview

Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview

An enhanced design of a 5G MIMO antenna for fixed wireless aerial access

A survey of radio propagation channel modelling for low altitude flying base stations

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