5G network slicing with unmanned aerial vehicles: Taxonomy, survey, and future directions

Bouzid, Tarek; Chaib, Noureddine; Bensaad, Mohamed Lahcen; Oubbati, Omar Sami

doi:10.1002/ett.4721

Cited by 17 publications

(6 citation statements)

References 157 publications

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“…The work in Reference 5 explores UAV‐assisted networks where 5G mm‐Wave is used for communications. Whereas Reference 2 presents works that feature UAVs as users or assistants to network slices.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Many works of literature explore the numerous potential applications of UAVs to achieve multiple network tasks. These applications range from aiding in data collection and monitoring, to providing connectivity in rural areas, extending coverage, and more 1,2 …”

Section: Introductionmentioning

confidence: 99%

“…These applications range from aiding in data collection and monitoring, to providing connectivity in rural areas, extending coverage, and more. 1,2 Moreover, crowd-sourced and incentive-driven solutions are on the rise thanks to the low cost combined with large opportunities and the amount of collected data. Crowd-sourcing can be integrated into multiple scenarios to achieve tasks that are often very resource demanding.…”

Section: Introductionmentioning

confidence: 99%

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Crowd‐sourced and incentive driven UAV system to assist with network slices

Bouzid,

Chaib,

Bensaad

2023

Trans Emerging Tel Tech

Self Cite

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Owing to their flexibility, fast deployment, increasing affordability, and numerous application opportunities, unmanned aerial vehicles (UAVs) became an undisputed target of studies and research to discover and exploit the immense opportunities they provide. Moreover, network slicing is a critical enabler for 5G and beyond. Network slices guarantee certain network user expectations such as data rate and latency thresh‐holds. There is no doubt that crowd‐sourced and incentive driven solutions are on the rise. Crowd‐sourcing allowed companies and organizations both small and large to gather data and perform other large‐scale tasks with minimum expenses and maintenance. Indeed, the major concerns for 5G and network slicing are guaranteeing high throughput, reliability, and latency. With data rates being the most important attribute for common regular users, that is, mobile devices, video streaming, navigation, and content consumption. As a result, the focus of this work is to utilize crowd‐sourced UAVs in an incentive driven network slice assistance system to extend coverage and provide mobile users with the high throughput they require. This work presents some basic 5G cellular radio access technologies and network slicing background and proposes a novel system, namely UAV slice assistance (UAVSA), and its hybrid alternative version: UAV hybrid slice assistance (UAVHSA). The hybrid mode combines benefits from the proposed UAVSA system and the traditional base station (BS) system. The proposed algorithms address the issue of coverage and guaranteeing high data rate slices for users. The proposed systems maximize satisfaction rate of network slice users. Moreover, all systems are extensively tested and compared in various scenarios to determine their performance and provide a coherent study. Finally, future works and opportunities are highlighted in conclusion.

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Section: Background and Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Crowd‐sourced and incentive driven UAV system to assist with network slices

Bouzid,

Chaib,

Bensaad

2023

Trans Emerging Tel Tech

Self Cite

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“…Building upon this context, our paper extends the exploration to the realm of ISDs in IIoT and their interaction with UAVs. There is no denying that UAVs have attained significant focus and research in recent years, and with 5G already being deployed, UAVs can now exploit the capabilities of the new networks [16]. The unique features of UAVs, such as movement flexibility and efficient code dissemination capabilities, become crucial in addressing the challenges posed by the upgrading ISDs that were not upgraded due to the longtime trailing phenomenon.…”

Section: Introductionmentioning

confidence: 99%

An Efficient and Dependable UAV-Assisted Code Dissemination in 5G-Enabled Industrial IoT

Sharma,

Villányi

2024

IEEE Open J. Commun. Soc.

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The Industrial Internet of Things (IIoT) has infiltrated our culture and is gaining traction in a variety of industrial applications. All of this is made possible by the use of 5G-connected massive Intelligent Sensing Devices (ISDs) and software-defined technology. It is sometimes desirable, and even required, to upgrade these ISDs without replacing hardware to make them smarter by adding new features and/or removing bugs through code dissemination. Using moving vehicles of the 5G-enabled Internet of Vehicles (IoV) infrastructure is one possible and efficient way to disseminate code. Specifically, safe code dissemination through a large number of vehicles in a 5G network has emerged as a critical issue. The motivation stems from the limitations of existing methods, often centralized and vulnerable to compromise, particularly in semi-connected networks. Therefore, this paper proposes an efficient and reliable Unmanned Aerial Vehicle (UAV)-assisted digital signature-based safe code dissemination framework for a 5G-enabled IIoT system. Our decentralized approach, which uses digital signatures and a Subjective Logic model, not only ensures code integrity but also identifies credible code mules, avoiding the pitfalls of traditional trust evaluation schemes. Furthermore, for UAV trajectory optimization, we redesign the trajectory with virtual waypoints to shorten the trajectory path for upgrading ISDs that were not upgraded due to the long-time trailing phenomenon. Our approach is useful in scenarios such as smart cities, where ISDs lack communication facilities. Through extensive experiments, our framework demonstrates superior efficiency and reliability compared to state-of-the-art methods.

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“…In [7], the authors provide a comprehensive study on 5G network slicing with UAVs. The contributions of this research work are to demonstrate the UAV assistance paradigms, provide a classification of UAVs in the context of UAV-assisted network slicing, and provide research works that contribute to UAV-assisted network slicing.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Review of Interference Mitigation Techniques in Current and Future UAV-Assisted Wireless Networks

Shakhatreh,

Sawalmeh,

Hayajneh

et al. 2024

IEEE Open J. Commun. Soc.

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In unmanned aerial vehicle (UAV)-assisted wireless networks, the potential of the high probability of line-of-sight links could be a disadvantage for other nearby wireless networks because of interference caused by a UAV. For this reason, using interference mitigation techniques (IMTs) for UAV-assisted wireless networks is necessary to minimize interference effects. For instance, the mobility of UAVs gives a chance to manage interference better to avoid being a source of interference or being susceptible to interference. After the first-generation mobile network was introduced in the early 1980s, mobile communication systems were developed through several stages of evolution over the following few decades to satisfy rising demand and more stringent specifications. Different IMTs are needed due to these generations' differences. Unlike previous research, this research presents a systematic review of IMTs in the current and future UAV-assisted wireless networks and discusses their challenges. We also review the current research trends of UAV IMTs and their future insights. Our motivation for conducting this research is the need for a systematic review addressing these issues. In this systematic review, we use a more precise classification of the IMTs for UAV-assisted wireless networks. We classify them into four different techniques, namely, adaptive modulation and coding schemes, dynamic antenna pattern adjustment, dynamic transmit power control, and sub-channel scheduling. Moreover, we discuss the IMTs for UAVs using B5G wireless technologies such as intelligent reflecting surfaces, rate-splitting, super modular massive multiple-input multiple-output, Terahertz communications, holographic beamforming, blockchain-based spectrum sharing, and artificial intelligence and machine learning schemes. Furthermore, we identify the challenges of UAV IMTs and their open research directions such as wireless radio frequency spectrum scarcity, lack of networking scalability, beam distortion, resource-constrained management, and new sources of interference. We believe this research will help researchers choose the best technique to mitigate the interference effects in UAV-assisted wireless networks.

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5G network slicing with unmanned aerial vehicles: Taxonomy, survey, and future directions

Cited by 17 publications

References 157 publications

Crowd‐sourced and incentive driven UAV system to assist with network slices

Crowd‐sourced and incentive driven UAV system to assist with network slices

An Efficient and Dependable UAV-Assisted Code Dissemination in 5G-Enabled Industrial IoT

A Systematic Review of Interference Mitigation Techniques in Current and Future UAV-Assisted Wireless Networks

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