Wireless Communication for Flying Cars

Saeed, Nasir; Al-Naffouri, Tareq Y.; Alouini, Mohamed‐Slim

doi:10.3389/frcmn.2021.689881

Cited by 22 publications

(4 citation statements)

References 27 publications

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“…Our experimentation involves running multiple simulation scenarios to assess the impact of UAVs and IMS on traffic management [23]. These scenarios encompass different traffic conditions, UAV deployment strategies, and mobile system configurations.…”

Section: Mobile System Processing Speedmentioning

confidence: 99%

Enhancing Traffic Management in Urban Areas through UAV-Assisted Intelligent Mobile Systems

Siman Emmanuel and Philemon Uten Emmoh

2024

JNACS

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In the era of urbanization and technological innovation, the integration of Unmanned Aerial Vehicles (UAVs) into urban air traffic management is crucial for addressing the complexities of traffic in densely populated areas. This paper navigates through existing literature, providing insights into the integration of UAVs in modern urban transportation and surveillance. Emphasizing the significance of UAVs in traffic management, the research objectives focus on exploring integration challenges and proposing solutions. The literature review covers simulation in traffic management and the role of UAVs, along with intelligent mobile systems. The methodology outlines a research approach incorporating data collection, analysis, and experimentation. This investigates how UAV-assisted traffic surveillance contributes to realtime monitoring, laying the foundation for effective traffic management. Intelligent mobile systems play a crucial rolein enabling data-driven decision-making. The discussion highlights the synergy between UAV-assisted surveillance and intelligent mobile systems, supported by real-world case studies. Challenges and future directions are discussed, envisioning a future where UAV-assisted intelligent mobile systems transform urban traffic management, addressing challenges and adopting innovative technologies for smarter, safer, and more efficient traffic systems.

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Section: Mobile System Processing Speedmentioning

confidence: 99%

Enhancing Traffic Management in Urban Areas through UAV-Assisted Intelligent Mobile Systems

Siman Emmanuel and Philemon Uten Emmoh

2024

JNACS

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“…Traditional modes of transportation are relatively expensive to build and maintain, while eVTOLs can provide a faster and more efficient mode of transportation as a new type of transportation, such as air taxis. [20]…”

Section: Evtolsmentioning

confidence: 99%

Unmanned Aerial Vehicles in 6G Networks: An In-Depth Review and Analysis

Gao

2024

AETR

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The advent of 6G mobile communication technology heralds a substantial leap in connectivity capabilities, boasting heightened efficiency, reduced latency, and expanded functionalities like ultra-high frequency transmission and quantum communication. This paper delves into the burgeoning opportunities for unmanned aerial vehicles (UAVs) within the realm of 6G networks. It thoroughly examines UAVs communication and deployment technologies, their potential applications in smart cities, V2X and disaster management scenarios. Furthermore, this paper analyzes the challenges faced by UAVs in the 6G era and presents insights into their future prospects.

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“…• Landing and Takeoff: The UAVs can be classified as fixed-wing and rotary-wing, where both have their specific requirements for landing and taking. The fixedwing UAVs require a runway for takeoff and landing, while rotary-wing UAVs can take off and land vertically, improving their suitability for diverse civilian applications [69]- [71]. In [72], the authors presented a hybrid Vertical Takeoff and Landing VTOL solution that integrates fixedwing and rotary-wing UAV features in a single platform to achieve long flight endurance with high flight efficiency.…”

Section: Control Requirementsmentioning

confidence: 99%

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

Javaid¹,

Saeed²,

Qadir³

et al. 2023

Preprint

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The recent progress in unmanned aerial vehicles (UAV) technology has significantly advanced UAV-based applications for military, civil, and commercial domains. Nevertheless, the challenges of establishing high-speed communication links, flexible control strategies, and developing efficient collaborative decision-making algorithms for a swarm of UAVs limit their autonomy, robustness, and reliability. Thus, a growing focus has been witnessed on collaborative communication to allow a swarm of UAVs to coordinate and communicate autonomously for the cooperative completion of tasks in a short time with improved efficiency and reliability. This work presents a comprehensive review of collaborative communication in a multi-UAV system. We thoroughly discuss the characteristics of intelligent UAVs and their communication and control requirements for autonomous collaboration and coordination. Moreover, we review various UAV collaboration tasks, summarize the applications of UAV swarm networks for dense urban environments and present the use case scenarios to highlight the current developments of UAV-based applications in various domains. Finally, we identify several exciting future research direction that needs attention for advancing the research in collaborative UAVs.

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Wireless Communication for Flying Cars

Cited by 22 publications

References 27 publications

Enhancing Traffic Management in Urban Areas through UAV-Assisted Intelligent Mobile Systems

Enhancing Traffic Management in Urban Areas through UAV-Assisted Intelligent Mobile Systems

Unmanned Aerial Vehicles in 6G Networks: An In-Depth Review and Analysis

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

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