Green UAV communications for 6G: A survey

Xu, Jingdong; Sheng, Min; Zhao, Nan; Xing, Chengwen; Lu, Weidang; Wang, Xianbin

doi:10.1016/j.cja.2021.04.025

Cited by 122 publications

(48 citation statements)

References 121 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…They could provide many satellite advantages, but without the distance penalty. Receivers may experience a better signal quality as the system offers line-of-sight (LoS) communications and, hence, less propagation delay in relation to satellite systems [10,11]. Our review of relevant literature reveals that there has been some consideration of the capabilities of drones for emergencies, including different cameras, propagation models, altitudes, and search patterns.…”

Section: Related Workmentioning

confidence: 99%

Modifying Hata-Davidson Propagation Model for Remote Sensing in Complex Environments Using a Multifactional Drone

Almalki

Soufiene

2022

Sensors

View full text Add to dashboard Cite

The coupling of drones and IoT is a major topics in academia and industry since it significantly contributes towards making human life safer and smarter. Using drones is seen as a robust approach for mobile remote sensing operations, such as search-and-rescue missions, due to their speed and efficiency, which could seriously affect victims’ chances of survival. This paper aims to modify the Hata-Davidson empirical propagation model based on RF drone measurement to conduct searches for missing persons in complex environments with rugged areas after manmade or natural disasters. A drone was coupled with a thermal FLIR lepton camera, a microcontroller, GPS, and weather station sensors. The proposed modified model utilized the least squares tuning algorithm to fit the data measured from the drone communication system. This enhanced the RF connectivity between the drone and the local authority, as well as leading to increased coverage footprint and, thus, the performance of wider search-and-rescue operations in a timely fashion using strip search patterns. The development of the proposed model considered both software simulation and hardware implementations. Since empirical propagation models are the most adjustable models, this study concludes with a comparison between the modified Hata-Davidson algorithm against other well-known modified empirical models for validation using root mean square error (RMSE). The experimental results show that the modified Hata-Davidson model outperforms the other empirical models, which in turn helps to identify missing persons and their locations using thermal imaging and a GPS sensor.

show abstract

Section: Related Workmentioning

confidence: 99%

Modifying Hata-Davidson Propagation Model for Remote Sensing in Complex Environments Using a Multifactional Drone

Almalki

Soufiene

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…PLMN can be used as a communication platform to provide connectivity with the required QoS level to UAS in a way agnostic to handled services. The value of the mobile network is wide-area coverage, good transmission properties (low packet loss rate), relatively high reliability, and the low cost of widely accessible network interfaces, which altogether can not only satisfy UAV communication requirements but also improve their operation (e.g., by enabling green communications [25]). The detailed analysis of mobile network features that can be exploited to support the UAS operation on the communication level, together with recent advancements in the field, can be found in multiple studies [26][27][28].…”

Section: Uas Services Support By 5gsmentioning

confidence: 99%

Mobile Networks’ Support for Large-Scale UAV Services

Tomaszewski

Kołakowski

Dybiec³

et al. 2022

Energies

View full text Add to dashboard Cite

The services based on Unmanned Aerial Vehicles (UAVs) have started to be used in many countries but not on a large scale yet. The paper describes the present status of UAV services and a concept of a solution for large-scale deployment of safe and reliable UAV services that use the 5G network for communication with UAVs. Based on the Standards Developing Organizations and related industry fora activities, unmanned traffic and airspace regulations, especially the commonly supported concept of Unmanned Aircraft Systems Traffic Management (UTM), UAV-related communication requirements and 5G System (5GS) features, we have developed an alternative approach to the integration of UAV and 5GS. The proposed concept includes a set of enablers that can be provided by Mobile Network Operators in order to not only support but also leverage UAV services. As work on many items is still in progress, we identify a list of open issues and challenges and present them at the end of the paper with the main focus on the MNO–UTM provider relationship and safe flights.

show abstract

“…The static territorial base stations are deployed to meet the average-traffic and their network is lack of the flexibility and agility to adjust to traffic variation and users' dynamic needs for computational offloading services. The flying edge computing server enabled by UAV expands the wireless coverage of the static territorial access points or base stations, where UAVs can be quickly deployed on-demand at locations with burst data traffic to offer high-speed and dynamic network services, such as dynamic coverage [2,3] and relay [4] .…”

Section: Introductionmentioning

confidence: 99%

“…UAV‐aided mobile services (UMS), as important roles in the Sixth Generation networks [ 5 ] , are attracting growing interest from researchers and the literature focuses on technological issues for UAV network deployment [ 6–8 ] . For example in Refs.…”

Section: Introductionmentioning

confidence: 99%

Demand Learning and Cooperative Deployment of UAV Networks

Xiao

Wang

et al. 2022

Chinese J of Electronics

View full text Add to dashboard Cite

Unmanned aerial vehicle (UAV) as a powerful tool has found its applicability in assisting mobile users to deal with computation-intensive and delaysensitive applications (e.g., edge computing, high-speed Internet access, and local caching). However, deployment of UAV-aided mobile services (UMS) faces challenges due to the UAV limitation in wireless coverage and energy storage. Aware of such physical limitations, a future UMS system should be intelligent enough to self-plan trajectories and best offer computational capabilities to mobile users. There are important issues regarding the UAV-user interaction, UAV-UAV cooperation for sustainable service provision, and dynamic UMS pricing. These networking and resource management issues are largely overlooked in the literature and this article presents intelligent solutions for cooperative UMS deployment and operation. Mobile users' locations are generally private information and changing over time. How to learn on-demand users' truthful location reporting is important for determining optimal UAV deployment in serving all the users fairly. After addressing the truthful UAV-user interaction issue via game theory, we further study the UAV network sustainability for UMS provision by minimizing the energy consumption cost during deployment and seeking UAV-UAV cooperation. Finally, for profit-maximizing purpose, we analyze the cooperative UAVs' deployment, capacity allocation, and dynamic service pricing.

show abstract

Green UAV communications for 6G: A survey

Cited by 122 publications

References 121 publications

Modifying Hata-Davidson Propagation Model for Remote Sensing in Complex Environments Using a Multifactional Drone

Modifying Hata-Davidson Propagation Model for Remote Sensing in Complex Environments Using a Multifactional Drone

Mobile Networks’ Support for Large-Scale UAV Services

Demand Learning and Cooperative Deployment of UAV Networks

Contact Info

Product

Resources

About